As I write on Thursday morning, the biggest headline is that President Trump says Iran called “a little while ago” wanting to make a deal “so badly” – just hours after a second night of U.S. strikes.

But there are plenty of other stories…

South Korean memory-chip maker SK Hynix – one of the world’s most recently minted trillion-dollar companies – is preparing for its $28 billion American IPO tomorrow. Demand is running roughly seven times the available shares, a loud signal for the AI memory trade.

Meanwhile, on the economic front, this morning’s initial jobless claims came in at a seasonally adjusted 215,000, beating forecasts and down from the prior week. It’s another sign the labor market is holding steady – and a data point that Fed Chair Kevin Warsh will factor in.

We could spend this Digest chasing any one of those threads. Instead, we’re letting them take a backseat for a different purpose…

Putting some money in your pocket.

Today, let’s look at three investment ideas – straight from three of our sharpest analysts.

The first is a straightforward AI play from Luke Lango – built for when the AI trade’s current multiweek drawdown eventually gives way to its next leg higher.

The second is a more conservative way to ride that same AI wave, courtesy of Brian Hunt – and it comes from a corner of the market most investors aren’t watching.

And the third is for AI-weary investors who just need a break from all-things-tech and its recent volatility. It’s a trade from legendary investor Louis Navellier, built around one of the more overlooked side effects of the conflict in the Middle East.

Let’s get into it.

Luke Lango: “AI just joined the payroll”

Luke, our tech and innovation expert and editor of Innovation Investor, is flagging a shift he thinks most investors are underestimating. AI is turning from a tool people use into labor companies deploy.

This is the shift to “agentic” AI that we’ve been tracking here in the Digest for months.

To illustrate, Luke highlights Kalshi, the prediction-market platform. It has an internal AI agent named “Harrison” doing work that looks like analyst labor – tracking news, monitoring competitors, drafting contract language, and helping resolve markets.

Tying into the investment opportunities, here’s Luke to explain why that matters for the compute build-out:

An AI agent is different.

Give it an objective, and it goes to work — planning, executing, checking its own output, calling tools, querying databases, revising, and iterating until the task is complete.

That continuous loop consumes inference compute on a vastly larger scale.

This reference to “inference compute” is where we find opportunity.

Luke points to estimates from Gartner that agentic AI workflows consume 5X to 30X more tokens per task than single-shot generative AI queries. Meanwhile, Goldman Sachs projects that monthly token counts for agentic AI could reach roughly 120 quadrillion by 2030.

Luke’s takeaway for investors:

Follow the compute, and you’ll find the trade. 

It doesn’t matter which app wins, which enterprise deploys the most agents, or which model — GPT, Claude, Gemini, Llama — powers them.

What matters is that every agent is sending traffic through the same physical infrastructure stack. And that stack is finite, expensive to build, and currently being stretched to its limits.

Each layer collects a different kind of toll.

Luke breaks the “toll roads” into several categories – accelerators like Nvidia (NVDA), networking and custom silicon such as Credo (CRDO), memory like SanDisk (SNDK), servers and power such as Dell (DELL), optical connectivity like Coherent (COHR), and storage.

For our purpose today, I’ll highlight one of Luke’s “storage” stocks: Everpure (P).

AI agents need fast retrieval from massive datasets, and Luke says storage is where that need shows up first. Here he is with more:

Everpure in particular has been gaining strength beneath the surface.

In Q1 of FY2027, product revenue surged 55%, while subscription services accounted for 45% of total revenue.

Operating profit jumped over 90% year-over-year to $159 million.

His broader point is that as agentic workloads scale, storage isn’t a side character in the AI story; it’s a structural beneficiary. It quietly compounds while the market’s attention stays fixed on chips.

Luke’s closing thought is interesting. While we’ve written many Digests about the economic incentive for companies to shift from a human workforce to an agentic workforce to benefit from lower labor costs, Luke spots a parallel:

Once AI joins the payroll, compute becomes the new labor cost.

The companies supplying the accelerators, networking, memory, servers, storage, power, cooling, and connectivity behind that shift are not side bets on AI. They are the trade.

It’ll be interesting to watch how pricy this new compute “labor cost” becomes – and how that shapes the agentic AI trade.

In the meantime, for the specific AI stocks that Luke officially recommends in Innovation Investor, click here to learn more.

Brian Hunt: Brazil is the AI trade nobody’s talking about

Following Luke’s look at the infrastructure layer behind AI agents, our next opportunity comes from Brian, editor of the free daily newsletter Money & Megatrends – and it takes the AI infrastructure story somewhere unexpected…

Brazil.

In Tuesday’s issue of Money & Megatrends, Brian argues the iShares MSCI Brazil ETF (EWZ) is set up to keep climbing, and that AI’s global infrastructure boom is part of the reason why.

Brazil, he notes, is a commodity superpower – and commodities are the backbone of the AI buildout that most investors overlook.

Here he is to explain:

Brazil is a beneficiary of the historic AI infrastructure spending boom…

Brazil’s huge network of rivers also makes it a giant producer of hydroelectric power. This makes it an attractive destination for power-hungry AI data centers.

Brazil also has large reserves of rare earth elements. Demand for these raw materials is soaring thanks to growing demand in AI infrastructure, robotics, and defense tech.

Brian’s been tracking the price action for months. He first flagged Brazilian stocks back in September, and here’s how that call played out:

Soon after my September note, Brazilian stocks – in the form of the iShares Brazil ETF (EWZ) – surged 38% in less than seven months.

It then experienced a natural, healthy bull market correction from mid-April to mid-June.

Now, he says, that correction is over as EWZ looks poised to continue its uptrend.

It’s a reminder that the AI trade isn’t confined to chips and data centers. Somewhere down the supply chain, it runs through rare earths, hydropower, and the raw materials that make the whole buildout physically possible – and Brian thinks Brazil sits right in the middle of that chain.

If you like EWZ, Brian writes Money & Megatrends every day the market is open, highlighting these kinds of opportunities before they become front-page news – and it’s 100% free.

His issues are loaded with trend analysis, actionable advice, and loads of specific tickers. You can sign up right here. 

Louis Navellier: A trade that has nothing to do with AI

To round out today’s lineup, let’s turn to Louis, editor of Growth Investor. Two weeks ago, he recommended a trade that’s aging quite well – U.S. oil refiners.

Louis made this call while the ceasefire was still holding. Now that it’s collapsing, the shortages and refining-margin tailwind he flagged look even more likely to persist.

Backing up, volatile crude prices usually squeeze energy companies from both directions…

Rising crude hits refiners’ feedstock costs – the price they pay for the crude oil they’re about to turn into diesel and jet fuel – before they can pass the increase along. Falling crude does the opposite damage – it marks down the value of the crude oil they’re already holding in storage and pipelines.

But right now, refiners are catching a powerful offset: some of the strongest refining margins in years.

Here’s Louis to explain why:

The conflict in the Middle East has created shortages and increased demand for U.S. energy products.

That has pushed refiners to ramp up production of diesel, jet fuel and other petroleum products – and helped drive some of the strongest refining margins in years.

The numbers back him up. In the first quarter, the industry benchmark 3-2-1 crack spread – essentially a snapshot of refiner profitability – jumped 73% on average.

One of the companies riding that tailwind – Louis’ pick – is Phillips 66 (PSX), a diversified energy giant that touches nearly every part of the fuel supply chain. It boasts 12 U.S. refineries, more than 70,000 miles of pipeline, thousands of branded and joint-venture fuel outlets, and a growing renewable fuels business.

That diversification showed up directly in the company’s first-quarter results. Louis highlights how Phillips 66 posted adjusted earnings of $200 million, or $0.49 per share – crushing Wall Street’s estimate for a loss of $0.39 per share.

Analysts have since revised their consensus estimate 60% higher over the past three months, and they now expect second-quarter earnings to soar 179% year-over-year, to $6.64 per share, compared with $2.38 per share in the same quarter a year ago.

Now, Louis made this recommendation on June 26, and his Growth Investor subscribers are already up 11%. That’s pushed PSX above his buy-up-to price of $180 – the stock trades around $189 as I write.

But keep watching here. Any genuine de-escalation in the Middle East would likely ease the shortages driving refining margins higher, which could pull PSX back down – potentially back into Louis’ buy range.

Either way, PSX is a reminder that AI isn’t the only game in town right now. Sometimes the more interesting opportunity is old-fashioned energy infrastructure, catching a tailwind from an entirely different story.

If you want more from Louis, he’s got his eyes on July 23 – exactly two weeks from today – when Q2 earnings kick in.

In his latest presentation, he dives into what his Precursor Intelligence system – or P.I. for short – is digging up right now. Louis designed it to help him identify where institutional money moves next, before the rest of Wall Street catches on. That’s the lens through which he’ll be positioning himself for Q2 earnings.

You can get more details right here – as well as several stocks his system says could be next in line as institutional money makes its next move.

Wrapping up

No big headline analysis today – just three ideas to consider from some of our sharpest analysts…

• An AI infrastructure trade built for the rebound,
• A conservative AI angle running through Brazil,
• And an energy play riding a tailwind that has nothing to do with AI at all.

Given our analysts’ respective track records, each is worth a good look if you’re thinking about putting money to work today.

Have a good evening,

Jeff Remsburg

(Disclaimer: I own COHR)

The post 3 Investment Ideas With Room to Run appeared first on InvestorPlace.

What are the odds he makes it?

In basketball, players and coaches often talk about the “hot hand.” The idea is simple: If someone has made several shots in a row, folks believe he has a greater chance of making the next one.

Sometimes, that instinct may be right.

But often, our brains take what just happened and assume it will keep happening.

That is a simple example of Recency Bias.

And even if you don’t know the technical term, you have almost certainly experienced it.

Take your annual performance review at work. Odds are your supervisor remembers a lot of the work you’ve done over the past month. But they may not remember as many of your accomplishments from nine months ago.

As a result, you’re more likely to be judged by the last month than the last year.

This same bias can influence your decisions as an investor. And it can have a big impact on your portfolio.

The human brain is a marvelous tool for creating art, music, language and engineering feats.

But it can be a terrible tool for investing.

The more you know about the workings of your own mind, the “bugs” inside it and how they work against investment performance, the more you can develop strategies to reduce their negative effects.

Let me help you with that.

In today’s ÃÛÌÒ´«Ã½ 360, I’ll show you how Recency Bias can blind investors to the next big market move. Then, I’ll explain how my Precursor Intelligence system helps me look past what a stock has done lately and focus on the signals that could point to where institutional money is headed next.

The Danger of Rearview-Mirror Investing

In investing, Recency Bias occurs when a stock has momentum, either up or down.

If a stock has been going up for the past six months, folks naturally believe it is likely to keep going up.

The inverse also happens. If a stock hasn’t gone up in six months, it seems unlikely to turn around any time soon.

On a wider level, if it has been years since the last bear market, investors are more likely to believe one is not coming soon.

You can see this everywhere in today’s market.

A stock runs for a few months, and investors assume it will keep running. A stock pulls back, and they assume the story is broken. A sector falls out of the headlines, and they assume the opportunity is gone.

That is rearview-mirror investing.

And it can be costly.

When AI Chases the Rearview Mirror

Take Oracle Corporation (ORCL), for example.

Earlier this year, Money.com reported on Danelfin, an AI stock-picking platform that says it identifies stocks likely to outperform over the next 90 days. At the time, Danelfin’s top 10 stocks included Oracle, along with other well-known names like Meta Platforms, Inc. (META) and Roblox Corporation (RBLX).

On the surface, that made sense.

Oracle had become one of Wall Street’s favorite AI infrastructure plays. Investors had watched the stock rise, and many assumed the recent momentum would continue.

That is Recency Bias at work.

But my P.I. system was telling me something different.

It was flashing warning signs that the ownership structure was shifting. In other words, the big institutional investors were starting to move out while the crowd was moving in.

Ninety days later, Oracle was down 32%.

Not only that, but Meta was down 12%. Roblox was down 25%.

That is why recent performance is not enough.

A stock can look strong on the surface while the deeper signals are already starting to weaken.

The reverse can also happen.

Last December, most investors were not putting GE Vernova Inc. (GEV), a company that builds the power infrastructure AI data centers need, on their list of hot AI stocks. They were focused on the obvious names – software companies, chipmakers and the usual Big Tech leaders.

But P.I. was reading a different signal.

My system showed that institutional investors were quietly accumulating GE Vernova.

Since then, GE Vernova has climbed roughly 70%.

That’s the power of looking beyond what just happened. Recency Bias keeps investors focused on yesterday’s winners. My P.I. system is designed to help me spot where the big money may be moving next.

A stock can look boring, overlooked or temporarily out of favor right before institutional money starts moving in.

That is why I developed my stock-grading system in the first place.

Instead of eyeballing a stock chart and guessing what comes next, my system runs the numbers. It analyzes thousands and thousands of data points, including fundamentals and quantitative signals.

And now, with Precursor Intelligence, I’m able to go even deeper.

P.I. is designed to help me identify the early signs that often show up before a major move. It helps me look beyond what has already happened and focus on what could happen next.

That’s the key. Because if you wait until everyone else sees the same opportunity, you may already be too late. By the time the crowd piles in, the easy money may already be gone. And in some cases, the big money may already be heading for the exits.

But you don’t have to let your future be governed by Recency Bias or any of the other biases we’ve covered.

All you need is the right tools. And that’s why I built P.I.

Put My System to Work for You

My system isn’t emotional. It doesn’t get impatient. It doesn’t get greedy. And it doesn’t assume a stock will keep rising just because it has been rising lately.

It simply looks for the same kinds of precursor signals that have appeared before many of the great stock moves of my career.

And with second-quarter earnings season about to kick into high gear, I believe this kind of insight could become even more important.

In my new presentation, I explain why July 23 could become a pivotal day for the market and why I’m watching it so closely.

I’ll also show you how P.I. works and reveal several stocks my system says could be next in line as institutional money makes its next move.

Click here to watch now.

Sincerely,

Louis Navellier

Editor, ÃÛÌÒ´«Ã½ 360

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

GE Vernova Inc. (GEV)

The post The Wrong Way to Predict the Next Big Stock Move appeared first on InvestorPlace.

John, Paul, George, Ringo… and Samsung Electronics Co.?

At first glance, the Beatles and the South Korean tech giant have little in common. Yet both offer an important lesson about expectations.

When the Beatles released Magical Mystery Tour in late 1967, the songs were well-received. It is actually my favorite of the band’s albums.

The accompanying made-for-TV film, on the other hand, was widely criticized.

Audiences expected another polished Beatles triumph, but got something experimental, surreal, and unconventional instead.

Commercially, the project was far from a failure – but it remains a fascinating case study in expectations.

The backlash to the Magical Mystery Tour TV film highlights the “expectation gap,” or the difference between what is presumed to happen and what actually happens.

In the words of the walrus-costume-wearing John Lennon, “Whatever image they have for themselves, they’re disappointed if we don’t fulfill it.”

The same dynamic plays out in financial markets. Stocks don’t move only on results – they move on the gap between results and expectations.

And that means, especially in a market driven by excitement around AI, more isn’t always better.

The AI boom is far from over, but investors may have already priced in an extraordinary future. That means even extraordinary results can disappoint if expectations have become extra-extraordinary.

This brings me to Samsung.

This week, the South Korean tech giant became a modern example of the same phenomenon: It delivered exceptional earnings results… but saw its stock fall because investors expected even more.

In today’s Smart Money, I’ll explain how the same expectation gap that humbled the Beatles is now appearing in the AI market… and why Samsung’s record results still disappointed Wall Street.

Then, I’ll share where to look for opportunity in a market where expectations may matter more than reality.

Let’s dive in…

When Expectations Become the Enemy

For the past few years, the biggest AI winners have been companies selling chips and processors. But that infrastructure is useless without huge amounts of high-performance memory.

As one of the world’s largest memory manufacturers, Samsung is a key supplier in the AI buildout, providing the high-performance memory chips needed to support the rapid expansion of AI computing.

On Tuesday, the company released preliminary second-quarter results showing operating profits jumped a massive 1,800% from a year earlier. This surge was fueled by ongoing global demand for AI memory chips.

Normally, that kind of profit surge would send a stock higher. But Samsung shares dropped sharply after the announcement.

The problem?

While the earnings guidance confirmed the AI boom was real, it didn’t provide a major upside surprise about future growth. Like the Beatles, Samsung became a victim of its own success. The company reported record revenue and profits, but investors still wanted more. Mainly, for Samsung to increase its share of the AI memory market and give shareholders a bigger payoff.

With expectations unmet, a selloff ensued.

But the selloff wasn’t limited to Samsung. The decline rippled across the broader AI supply chain, including other memory-chip makers. Micron Technology Inc. (MU) and SanDisk Corp. (SNDK) dropped 7% and 5%, respectively.

The bottom line is that Samsung delivered what should have been a dream report. Instead, investors sold chip stocks.

What resulted was a Magical Mystery Tour moment of the AI trade: Investors were not celebrating strong AI-related earnings – they were questioning whether expectations had become too high.

Memory stocks have experienced a partial rebound since the Samsung-led selloff, as some investors stepped in to “buy the dip.”

But here’s what I recommend doing instead…

The Importance of Being Early

Panic!

No, don’t really panic. Here’s what I mean…

The best investors don’t wait for obvious risks to become obvious to everyone else. They identify them early and position themselves before expectations begin to reset.

So, although it sounds as unconventional as John Lennon dressed as a walrus, I recommend a healthy dose of preemptive panicking.

I explain this strategy in much greater detail in the July issue of Fry’s Investment Report, which will be available tomorrow. You can learn how to receive it as soon as it’s released by clicking here.

In a market priced for perfection, the smartest move is to avoid the obvious risks first – like owning companies with expectations that have become almost impossible to meet.

Once you’ve done that, you can focus on opportunities where reality still has a chance to surprise on the upside.

When so much of the market’s attention, enthusiasm, and capital is concentrated in just a handful of AI favorites, opportunity often emerges in the places few investors are looking. Some of the most compelling prospects today aren’t the glamorous market leaders. Instead, they’re the overlooked companies quietly building value while everyone else chases the same high-profile names.

In fact, many of my Fry’s Investment Report recommendations are decidedly not market darlings, which means that expectations remain relatively modest. And most trade at discounted valuations despite solid business performance.

I will “tour” several of these companies in my upcoming monthly issue. So, be sure to join me at Fry’s Investment Report today, and then keep an eye on your inbox tomorrow.

If market leadership begins to broaden – as it often does after expectations become stretched – these forgotten stocks could attract fresh capital and deliver outsized returns while yesterday’s favorites struggle under the weight of impossible expectations.

Then, as the Beatles sang on Magical Mystery Tour, “Baby, you’re a rich man.”

Regards,

Eric Fry

The post Where to Invest When Great News Isn’t Enough appeared first on InvestorPlace.

The AI infrastructure story that has dominated markets for the past two years has had one assumed ending: eventually, every enterprise will migrate its AI workloads to the hyperscaler cloud. AWS, Azure, Google Cloud, Oracle (ORCL) — pick your platform, pay per token, and let someone else worry about the hardware.

JPMorgan Chase (JPM) just added an important asterisk.

This week, SambaNova Systems — an AI chip company that Intel (INTC) reportedly tried to acquire for about $1.6 billion less than a year ago — raised $1 billion at an $11 billion valuation. 

The customer that made the announcement so interesting was JPMorgan Chase, which selected SambaNova as its inference-infrastructure partner, deploying its systems to power secure, on-premises AI inference at the bank.

The speed of the startup’s re-rating — and who signed on as the anchor customer — isn’t an accident. 

JPMorgan Just Put an Asterisk on the Cloud-Only AI Thesis

The mainstream AI infrastructure thesis assumes that inference demand — the workload created every time an AI model answers a query, writes code, or completes a task — primarily flows through hyperscaler cloud platforms. 

That’s been true so far, and it will remain true for most of the market.

But JPMorgan’s decision points to a segment that the cloud-first narrative underweights: enterprises and institutions that simply cannot send their most sensitive data to a third-party server.

Banks hold client data and proprietary trading strategies they can’t expose. Hospitals manage patient records that federal law requires them to protect. Defense contractors and government agencies often face outright restrictions on running sensitive workloads on commercial cloud infrastructure.

For these organizations, cloud economics are appealing on paper. But that architecture comes with a data exposure risk they can’t accept. 

SambaNova’s CEO framed the JPMorgan win as a signal to the whole banking industry: banks want control over their most sensitive inference, and they’re starting to build for it.  And the vendors that give them that control are about to have a very interesting few years. 

Why Enterprise AI Inference Looks Different From Chatbots

We’ve written at length about the inference supercycle — the shift from AI as a training-era story to AI as a persistent, always-on workload running inside enterprise operations. Agentic AI is accelerating that shift, with agent-based workflows consuming more compute than single-shot queries ever did.

What SambaNova’s round shows is that the inference supercycle has a niche the market hasn’t fully accounted for. 

A meaningful slice of enterprise inference demand won’t flow through hyperscaler APIs. It will run on-premises, inside the firewall, on hardware owned and operated by the enterprise itself.

Liang noted that enterprises and governments are just starting their AI journey, with most growth so far concentrated among tech’s model makers and frontier labs — leaving substantial revenue still on the table. In regulated industries specifically, that revenue goes to whoever sells the hardware, the networking, the storage, and the software stack that makes on-premises inference work.

But the next phase of the AI trade has more moving parts than most investors realize. If you want to hear where I think the smartest money in AI is moving next — my highest-conviction ideas, live and in-person — I’ll be at the Stansberry Conference & Alliance Meeting in Las Vegas later this year. Interested? Reserve your discounted seat before they sell out.

The AI Infrastructure Trade Is Splitting Between Cloud and On-Prem

The picks-and-shovels thesis for AI infrastructure remains intact. The global AI inference market is valued at roughly $120 billion in 2026 and projected to reach $300-plus billion by 2034. That demand has to live somewhere.

Now that “somewhere” is looking a bit more bifurcated. 

Hyperscaler cloud captures the majority of it. Within regulated industries, on-premises inference is forming as its own distinct market. Banks, hospital systems, and government agencies can build a compelling economic case for owning their own hardware. The cost per token math favors on-premises at sufficient utilization. And when the regulatory constraints are real, the economics almost don’t matter. Cloud simply isn’t a viable option for their most sensitive workloads. 

The names positioned for this are the same ones we’ve been writing about. Dell‘s (DELL) AI Factory already has more than 4,000 enterprise customers. Everpure (P) — formerly Pure Storage — has rebuilt its platform specifically to make enterprise data accessible to AI workloads without the overhead of replication. 

JPMorgan’s decision just made their pitch to the next bank a lot easier.

The Bottom Line

SambaNova going from a rumored $1.6 billion acquisition target to raising at $11 billion in under a year reflects something real: private capital has decided that secure, on-premises enterprise AI inference is a durable market, and the price of getting in has changed accordingly. 

The frontier labs and hyperscalers drove the first phase of this trade. The enterprise and sovereign deployment wave is the second phase — and within regulated industries, it plays by different rules. Banks, hospital systems, and government agencies don’t move fast. But when they do, they move at scale, under long-term contracts, with infrastructure budgets that tend to be sticky.

Other banks are likely watching JPMorgan’s move. So are certain corners of healthcare and government. For data-sensitive organizations, this could be the new blueprint. 

The inference supercycle is real, and the hyperscaler cloud will capture most of it. But within sensitive sectors, a structurally distinct market is forming for secure, on-premises inference infrastructure. For the companies best positioned to serve it, it’s a durable one.

And durable infrastructure spend is exactly what the most sophisticated private capital has been positioning around… not at the application layer or the model layer, but underneath all of it.

The energy systems, nuclear capacity, and physical fabrication that make persistent AI compute possible — whether it runs in a hyperscaler’s data center or inside JPMorgan’s firewall — are being secured through private funds and bilateral agreements that most investors never see.

And though most of those positions aren’t accessible publicly, there are seven publicly traded stocks that mirror those same bets almost exactly — the hard-asset backbone of an infrastructure build that isn’t slowing down regardless of where enterprises decide to run their workloads.

Here’s how to get in through the ‘back door.’

The post JPMorgan Just Challenged the Cloud-Only AI Thesis appeared first on InvestorPlace.

As I write on Wednesday, the ceasefire between the U.S. and Iran is over. At least, that’s how President Trump described it.

Overnight, three commercial vessels transiting the Strait of Hormuz came under Iranian attack. The U.S. responded with what Central Command called a “series of powerful strikes,” hitting more than 80 targets across the country. The targets included air defense systems, command-and-control networks, and coastal radar sites.

Meanwhile, the U.S. Treasury withdrew the waiver that had allowed Iran to sell its oil on the global market. And Trump said he may reimpose the naval blockade on Iranian ports.

Speaking at the NATO summit in Ankara, Turkey, the president sounded fed up:

I don’t want to deal with them anymore…

As far as I’m concerned, it’s over.

He added that the U.S. would “very probably” strike Iran again by nightfall.

Iran’s Foreign Ministry called the strikes a “gross violation” of the memorandum of understanding both sides signed in June, and Iran’s Revolutionary Guard claimed to have hit military bases in Kuwait and Bahrain in response.

This leaves investors with a question…

Is this a genuine return to war and, along with it, a sustained spike in energy costs? Or is it just another round of brinkmanship? Trump has hedged before, and he hedged again earlier today, saying he’d let negotiators keep talking “if they want.”

For the moment, the investment markets are unsettled but not panicked – so, they’re treating this as brinksmanship. Stocks are lower, but it’s an orderly retreat, not a stampede for the exits. In fact, as I write, they’re rebounding and well off their lows.

Crude oil is the more interesting story – up about 7% – and that’s the number to watch. Pricier oil means stickier inflation, which means even less room for the Federal Reserve to cut.

There’s plenty riding on how this story evolves. We’ll keep tracking it.

Checking in on the AI trade’s ongoing correction

Semiconductor and AI-related stocks have been under pressure for weeks, and today’s Middle East headlines aren’t helping. But our tech investing expert, Luke Lango, editor of Innovation Investor, has been telling subscribers to zoom out.

In yesterday’s Innovation Investor Daily Notes, he provided helpful context for this AI drawdown, as well as how to handle it in your portfolio.

In short, the semiconductor sector is currently down about 14% from its highs – the 13th correction of 10% or more since the AI boom kicked off in late 2022. None of the previous 12 ended the boom. In fact, semis are still up roughly 565% from the start of 2023, corrections and all.

Luke sees parallels to the Dot Com era: Two separate ~40% semiconductor drawdowns hit between 1995 and 1999, and each one felt like the end of the tech bull market at the time. Neither was. Semis still rallied more than 1,100% into the March 2000 peak.

Here’s his takeaway:

The 13th correction is painful. It is not the end.

Now, a naysayer might respond, “Well, there must be an end at some point. So, why not now?”

Luke has an answer – how the hyperscalers are fueling their AI capex spend, and what that signals about confidence.

Yesterday, news broke that Amazon.com Inc. (AMZN) is reportedly raising another $25 billion in bonds to fund AI infrastructure. That pushes global AI-related debt issuance to roughly $335 billion this year – more than double 2025 levels.

To Luke, that’s a massive signal – investment-grade bonds don’t get issued in $25 billion tranches, oversubscribed multiple times over, at 30-year maturities, unless the people signing off on them expect decades of cash flow to back it up.

Here’s Luke with the significance for investors:

These are the financing decisions of companies that see an arms race and are raising every dollar they can to stay in it.

Returning to our naysayer from a moment ago, yes, the AI boom will end at some point. But Luke says that will be when the underlying fundamental dynamics powering it suddenly and dramatically reverse course, which is not happening today.

So, what’s the actual game plan for AI investors staring at red screens today?

Luke points toward the VanEck Semiconductor ETF (SMH) – a proxy for the AI trade. He says it’s fallen to the exact level where garden-variety corrections have historically bottomed. Buying here in anticipation of a bounce is reasonable as part of a planned accumulation program.

But if SMH doesn’t find support here, there’s a deeper pullback coming. Luke recommends holding some cash in that scenario, where SMH drops toward $560.

Either way, remain focused on the other side of this flush. On that note, here’s Luke’s bottom line:

The late July earnings are the real recovery catalyst, and being positioned before those reports — even if the entry timing is imperfect — is the right posture for investors with a multi-month time horizon.

So, there’s the perspective for tech investors. But if you’re still feeling rattled, let’s give you a trade idea courtesy of veteran trader Jonathan Rose that has nothing to do with AI.

Inside the mind of a “creative trader” – Jonathan’s contrarian Bitcoin play

Most traders see a stock sitting at a fresh record low and do the same thing – walk away.

But for trading veterans like Jonathan, editor of Advanced Notice, ignored setups can create opportunities – and I want to show you one.

First, if you’re new to Jonathan, he spent 28 years on some of the most important trading floors in America – the Chicago Mercantile Exchange, bond futures desks, and four years as a market maker at the Chicago Board Options Exchange.

Over that period, he’s made millions in his own trading account, and it’s rarely because he chased what everyone else was running after. It’s because he searches for value in exactly the spots other traders have written off.

He recently flagged one of those spots to his premier subscribers, and it’s worth walking through – both because it could be a genuinely lucrative setup, and because it’s a perfect window into how Jonathan thinks. As he ends his alerts to subscribers: “Remember, the creative trader wins.”

Here’s what he found…

There’s a corner of the market most people never look

Preferred shares.

It’s a strange hybrid security that trades like stocks but pays fixed income like bonds.

It’s here we find an issuance from Strategy Inc. (MSTR), the Bitcoin-holding company formerly known as MicroStrategy.

That issuance – STRC – has a “home base” price of $100. Think of this as the value the security is designed to trade at, similar to how a bond is meant to trade near its face value.

Recently, this preferred share issuance nosedived to around $75, a fresh record low. It has since bounced back, but still trades in the mid-$80s, well below that $100 home-base price. However, during this time, STRC has been paying a cash dividend equivalent to roughly 14% a year.

Now, the headline reads that STRC is a security in trouble. But Jonathan noticed something buried in Strategy’s own filings…

The company has explicitly stated its intention to defend STRC’s price and pull it back toward that $100 home base, using dividend hikes and buybacks as its levers.

In other words, Strategy has a built-in incentive to fight for this investment’s recovery.

And this points us to the difference between how Jonathan and the average investor view this setup…

While most investors would consider this a trade on Bitcoin, to Jonathan, it’s a bet on Strategy’s own machinery doing exactly what the company says it’s built to do. If it works, investors will collect a 14% cash yield while they wait for a price recovery that could add another 15%-plus on top.

It’s already working for some of Jonathan’s subscribers. Here’s a screenshot of a subscriber writing in to Jonathan, commenting on their trade results so far.

If you can’t see it, he’s up 25% on the preferred share of STRC and that doesn’t even include the first dividend payment.

As always, be aware of the risks

Now, Jonathan is upfront about the obvious risk – it’s something we need to take seriously.

STRC is backed by Strategy’s crypto holdings, and Bitcoin has recently fallen to around $59,500 – roughly 21% below what the company paid for it. That’s squeezed Strategy’s cash position, and the company has started selling some of its Bitcoin to help cover the dividend.

Meanwhile, the preferred share payout itself isn’t guaranteed; it’s discretionary, and the board could cut or suspend it if conditions worsen. That risk is exactly why the yield is this fat – the market is pricing in real doubt.

This is the tension that Jonathan and trading veterans navigate every day: opportunity and risk, tangled together.

Want more trades from Jonathan?

STRC was a call Jonathan made for InvestorPlace’s premier Omnia subscribers after doing a great deal of research into filings and footnotes everyone else skips. But not every opportunity announces itself in a company’s fine print…

Some show up first in the money itself – where large trading positions are building before the rest of the market notices.

That’s what Jonathan built his “Convergence Trigger” tool to spot. Working with market veteran Marc Chaikin, he paired his own Unusual Trading Activity tool with Chaikin’s Money Flow system to flag the moment institutional capital starts piling into a stock – before the move that follows.

To see how it works, click here for a deeper dive.

Wrapping up

Three stories today, yet one common thread: Volatility and uncertainty are the price of admission.

The U.S.-Iran ceasefire is fraying, the AI trade is grinding through its 13th gut-check, and Jonathan’s STRC play only pays off if you’ve priced in the downside, not just the yield.

None of it is risk-free. But it never is.

Our challenge is figuring out which risks are worth taking, not avoiding risk altogether. That’s what we’ll keep helping you do here in the Digest.

Have a good evening,

Jeff Remsburg

(Disclaimer: I own AMZN and SMH)

The post The Iranian Ceasefire Collapses: What Happens Now? appeared first on InvestorPlace.

I asked Jonathan to clarify in today’s Smart Money that the IPO isn’t the main story — instead, it’s what SpaceX plans to do with the money.

He also shares three stocks he believes stand to benefit as the communications industry adapts to a new reality and explains why this is exactly the kind of second-order market shift he and Wall Street veteran Marc Chaikin built their Convergence system to identify.

If you missed their recent presentation, you can still catch the replay here.

Now, here’s Jonathan…

A few weeks ago, AT&T Inc. (T) dropped more than 4% in a single day.

The headlines blamed a Wall Street analyst.

Oppenheimer’s Timothy Horan had just downgraded the stock after warning that the Starlink satellite constellation business at the newly public Space Exploration Technologies Corp. (SPCX) could permanently reshape the communications industry.

Most investors treated that downgrade as the news. I didn’t.

One of the first lessons I learned during nearly three decades trading on the floors in Chicago is that analyst upgrades and downgrades rarely start major trends. More often, they describe those trends after institutional investors – the “smart money” – have already begun repositioning.

Indeed, by the time Horan published his report, AT&T had been sliding for months. His downgrade was reacting to a move that had already begun.

So instead of asking why one analyst had suddenly turned bearish on AT&T, I started asking a different question: How much damage can SpaceX actually do to AT&T and the telecom industry now that it’s sitting on roughly $75 billion in fresh capital?

That question sent me down a rabbit hole. I spent the weekend reading telecom company filings, earnings calls, analyst reports, insider transactions… and SpaceX’s S-1 IPO filing.

I want to share some of my findings with you today.

I’ll explain why I think the SpaceX IPO may permanently reshape the communications business…

Show you how my newest system helps identify opportunities behind these kinds of shifts in the market…

And introduce you to three companies I believe could benefit from that shift.

Starlink Is the Opportunity, Not the IPO

When SpaceX went public, most of the financial media focused on the obvious questions.

Is the valuation too high? Will the share price pop or drop? Who gets rich?

That’s all great water-cooler chatter. But as a trader, I want to know what SpaceX plans to do with the $75 billion it raised.

The answer isn’t more rockets. It’s more Starlink.

For years, Starlink was viewed as an interesting side business, a satellite internet service serving rural customers and places traditional broadband couldn’t easily reach. Today, it’s something much bigger.

It’s the only consistently profitable part of SpaceX’s business. And with fresh capital from the IPO, it suddenly has the resources to expand much more aggressively.

That’s bad news if you’ve spent the last 20 years building expensive fiber networks.

Starlink can connect customers for a fraction of what traditional providers spend on extending broadband into new markets. While cable and telecom companies continue investing billions in wires, trenches, and infrastructure, Starlink is adding subscribers from orbit.

The economics simply aren’t the same.

Here’s what I think happens next.

Every Winner Creates a Loser

One thing markets have taught me is that every technological breakthrough creates two groups of stocks: the obvious winners and the companies quietly losing relevance.

When automobiles replaced horses, investors shouldn’t have focused only on Ford Motor Co. (F). They also should have asked what happened to buggy-whip manufacturers.

Today, we’re seeing a similar transition in telecommunications. Companies like AT&T, Comcast Corp. (CMCSA), and Lumen Technologies Inc. (LUMN) spent decades building infrastructure designed for a different era.

Meanwhile, SpaceX just raised enough capital to dramatically accelerate a competing network built on entirely different economics.

The tape – these stocks’ share prices – recognized that before many analysts did.

That’s why I try to ignore the headlines and pay more attention to second-order effects.

The biggest opportunity is often in understanding which businesses are quietly becoming more valuable – and which ones aren’t.

Three Stocks I’m Watching

So, instead of chasing SpaceX, I’ve been looking at the businesses helping build the next phase of this ecosystem.

One name that continues to interest me is Sunrun Inc. (RUN).

Shortly after the SpaceX IPO, Tesla Inc. (TSLA) and Sunrun announced a framework to aggregate more than 16 gigawatts of home energy capacity for utilities and hyperscale AI customers. The market noticed immediately. Sunrun surged, and my Unusual Trading Activity confirmed the smart money was paying attention as well.

I’m also watching NextNav Inc. (NN).

This has been one of my favorite infrastructure stories for a while. The company controls valuable spectrum assets that become increasingly important as satellite internet expands. It’s exactly the kind of overlooked business Wall Street often reprices after a major industry shift.

And then there’s BlackSky Technology Inc. (BKSY).

As SpaceX launches more satellites and the cost of accessing space continues falling, companies that provide satellite imagery and AI-powered geospatial intelligence stand to benefit alongside it. That’s another second-order effect most investors miss while focusing on the IPO itself.

Now, let me be clear.

I’m not suggesting every company connected to SpaceX becomes a great investment. Far from it.

The opportunity isn’t simply identifying the story. It’s identifying where institutional investors and their billions of dollars are quietly building positions before everyone else recognizes the implications.

That’s an entirely different exercise.

That’s Why We Built Convergence

One phrase I use often on my livestream is this: The tape can’t hide.

Big institutional money leaves footprints. And those footprints are there long before analysts publish upgrades and long before the headlines explain what’s happening.

I’ve spent most of my career learning to recognize those footprints through unusual trading activity and volatility.

Marc Chaikin approaches the same challenge from a different direction. For decades, he’s been developing institutional money-flow tools designed to show where the big money is actually going.

When we started comparing notes, we realized we were often identifying the same opportunities from completely different angles.

I identify unusual market behavior. Marc confirms whether institutional money is moving in the same direction.

And we’ve discovered that when those signals line up – we call it a “Convergence Trigger” – our confidence changes dramatically. That’s why we combined our systems to create Convergence.

And we’re using that new system to examine the ripple effects from the SpaceX IPO and several other major AI themes we’re tracking right now.

Marc and I recently sat down to explain how we’re using the Convergence Trigger to identify these second-order opportunities before they become obvious. If you missed that free presentation, we’ve made it available again for a limited time.

I think you’ll come away with valuable stock ideas and a different way of looking at the market.

While everyone else was debating whether to buy the SpaceX IPO, I was asking what Starlink’s next move would mean for everyone else.

Bottom line: Don’t chase the headline. Trade the ripple effect.

Remember, the creative trader wins,

Jonathan Rose

Founder, Masters in Trading

P.S. One of the reasons I enjoy reading Jonathan’s work is that he never stops at the headline. He asks what happens next. That’s exactly what he did here, and it’s also the thinking behind his work with Marc Chaikin. If you haven’t seen their free presentation yet, I’d encourage you to carve out a little time for it. I think you’ll come away with a few new ways to look at the market and maybe a few opportunities you hadn’t considered.

The post The 3 Stocks Quietly Benefiting From the SpaceX Shakeup appeared first on InvestorPlace.

The honest answer is, I don’t.

Nobody knows ahead of time that a stock is about to double. If someone tells you they do, I’d be skeptical. What you can do is learn to recognize when something deserves a closer look. That’s really what I’ve spent most of my career doing.

A few weeks ago, one of the companies we’d been following at my Masters in Trading LIVE show – uniQure NV (QURE) – nearly doubled after the U.S. Food and Drug Administration announced it was changing its position on one of the company’s drug candidates. Overnight, everybody wanted to talk about it.

What interested me wasn’t the move itself. It was what happened before the move.

For about a week leading up to that announcement, I kept seeing unusually large amounts of trading in the stock. Not random trades here and there, but the same kind of institutional big-money activity showing up over and over again.

That didn’t mean somebody knew what the FDA was going to do. ÃÛÌÒ´«Ã½s are rarely that simple. But it did tell me it was something worth investigating.

After almost 30 years trading futures and options on the floors in Chicago, I’ve learned that large institutional investors don’t spend millions of dollars casually. When they continue building positions in the same company, I want to understand what they’re seeing that the rest of the market isn’t seeing yet.

Sometimes you do all that homework and discover there’s nothing there.

Sometimes you find a stock that’s about to become the biggest story of the week.

That got me thinking this would be a good opportunity to pull back the curtain a little and show you how I look at biotech.

It’s one of my favorite areas of the market because it plays by a completely different set of rules than most companies people follow every day.

Today I’d like to explain what I mean by that, introduce you to three biotech companies currently on my watchlist, and show you why I think paying attention to institutional behavior can often tell you more than reading the headlines.

Biotech Lives on Its Own Calendar

One of the reasons I enjoy biotech so much is that it really doesn’t care about the same things the rest of the market worries about.

Let’s say during a week, the Federal Reserve surprises everybody, inflation comes in hot, and payroll numbers miss expectations. The stock market as a whole may drop, but biotech stocks will barely move.

Then an FDA decision comes out on a Tuesday morning and one biotech stock is suddenly up 60% before you’ve finished your second cup of coffee. That’s just the nature of the business.

These companies trade on catalysts like clinical-trial results, FDA decisions, and advisory committee meetings. Those are the dates that matter.

That’s why I spend so much time studying regulatory calendars and upcoming events. They tell me when I should start paying closer attention.

The company I mentioned earlier, uniQure, is a perfect example. For months, investors believed its Huntington’s disease treatment faced a difficult road after regulators questioned whether existing data would be enough.

Then the FDA changed its thinking after markets closed on Tuesday, June 16. Suddenly the company everyone had ignored became one of the biggest winners in the market.

UniQure closed that Tuesday at $26.99. Then it opened on Wednesday, June 17, at $43, touched $48.88 intraday, and closed at nearly $48. That’s an 81% gain, overnight. 

Most investors focused on the FDA announcement.

I found myself thinking much more about everything that happened before it.

The Clues Usually Show Up First

When I went back through the trade, what stood out was how many clues had been sitting there beforehand.

Institutional investors had been building upside exposure through the trading market. Everything I was seeing in the trading told me sophisticated investors were leaning toward the upside, not preparing for the downside. That didn’t guarantee anything, but it definitely caught my attention.

That’s really the difference between investing and simply guessing.

I’m not trying to predict what the FDA is going to do. I’m trying to understand where sophisticated investors are placing meaningful bets before the broader market catches on.

Sometimes these smart money players are wrong. That’s part of the business.

But when an important catalyst is approaching, unusual institutional activity begins to appear, and the trading market starts telling the same story, I’ve learned it’s usually worth digging deeper.

The goal here is to build the habits that help you recognize tomorrow’s opportunity before everybody else starts talking about it.

Three Biotech Companies I’m Watching

Whenever a trade like that works, the next question is always the same: “So what’s on your radar now?”

The truth is, I’m never looking for “another” anything. Every company, every trade, has its own story.

But there are three biotech names I’ve been spending a lot of time researching because I think they deserve a closer look.

The first is Ionis Pharmaceuticals Inc. (IONS).What I like here is the calendar. Ionis has multiple potential catalysts over the coming months, which means investors aren’t depending on one make-or-break event. Just as important, I don’t think any trades out there have become overly expensive yet, which gives us more flexibility in how we approach the stock.

I’m also watching Celcuity Inc. (CELC). This one caught my attention because the stock sold off despite encouraging clinical results. Whenever I see a disconnect like that, I start asking why. Even more interesting, several well-respected healthcare funds didn’t head for the exits. They stayed with the company. When experienced institutional investors remain patient after disappointing price action, I think it’s worth paying attention.

The third name is Replimune Group (REPL). This is easily the highest-risk company of the three, and I’d treat it that way. But biotech has never been about certainty. It’s about probabilities. Replimune has meaningful catalysts ahead, and it’s another company where I’m seeing enough pieces come together to justify keeping it on my whiteboard.

Now, let me be clear about something. I’m not telling you these three companies are guaranteed winners. That’s not how biotech works, and it’s not how I trade.

I’m looking for situations where the science, the calendar, and institutional behavior all begin pointing in the same direction. When that starts happening, I think it’s worth leaning in and doing the work.

That’s Why We Built Convergence

One of the reasons I’ve enjoyed working with Marc Chaikin over the past year is that we approach the market from two very different directions.

For most of my career, I’ve focused on unusual trading activity. I want to know where something unusual is happening before everybody else notices. Marc has spent decades studying institutional money flow — where the big money is actually going.

As we started comparing notes, we realized something interesting. We were often identifying the same stocks, but for completely different reasons. That eventually became the foundation for our new Convergence system.

Before we ever introduced it publicly, we tested the approach across nearly 200 historical trades. The combined signal produced an 81% win rate, an average gain of roughly 147%, and helped us avoid nearly two out of every three losing trades.

Backtests are one thing, though. What really matters is how a system performs in the real world.

Over the past month, readers have already reported gains of 243%, 505%, 745%, 920%, and even more than 2,000% using the same approach on a Butterfly Network Inc. (BFLY) trade at one of my premium trading services. Of course, not every trade works out that way, and no strategy wins every time. But early results have only reinforced my confidence that Marc and I are onto something worthwhile.

That’s also why I wanted to write this letter… to show you how I think.

The biggest opportunities rarely come with television cameras and front-page headlines. More often, they start quietly, with institutional money beginning to move before the headlines and TV cameras catch up.

That’s the habit I’ve tried to build over the past three decades. It’s also the habit Marc and I are trying to help our readers develop through Convergence.

If you’d like to see exactly how we’re putting that process to work today — not just in biotech, but across AI infrastructure, space, energy, and several other themes we’re watching — I think you’ll enjoy the free presentation Marc and I recently recorded together.

Click here to check it out.

I believe you’ll come away looking at the market a little differently.

Remember, the creative trader wins,

Jonathan Rose

Founder, Masters in Trading

P.S. One of the things I appreciate most about Jonathan’s work is that he almost never starts with, “Here’s the stock to buy.” He starts with, “Here’s what I’m seeing, and here’s why I think it matters.” That’s a much more useful way to learn. If you’d like to see how Jonathan and Wall Street veteran Marc Chaikin are applying that same approach across biotech, AI, SpaceX, and several other market themes, I’d encourage you to take a little time to watch their free presentation.

The post 3 Biotech Stocks to Watch Before Wall Street Catches On appeared first on InvestorPlace.

Along the border between Myanmar and China, wealthy collectors play a game with rocks.

The rocks are jadeite boulders. They are gray, dull, and roughly the size of a bowling ball. Pretty ugly things, honestly. While some contain a green jade worth millions, most contain nothing at all. But that is not the cruel part… for that, you cannot know which is worth millions and which is worthless until you pay full price and cut the stone open.

Wharton professors Christian Terwiesch and Karl Ulrich tell that story in The Innovation Tournament Handbook, and they add a twist. Imagine, they say, that for a small fee you could drill a tiny test hole first and sample the stone dust before committing your fortune. You’d no longer be gambling but investing… You invest a little to learn a lot. What’s more, your odds of finding the gem increase exponentially.

Think of the AI trade the same way.

After the selloff we have endured through the first half of 2026, the market is a pile of gray boulders. The fundamentals tell me some of these stocks are hiding serious jade. Triple-digit revenue growth. Expanding margins. Multibillion-dollar government contracts. But the tape is broken, and buying a stock in freefall is paying full price for an uncut stone. 

Do not do it! 

Drill the test hole first. Let the technicals confirm a bounce, and then buy.

On this week’s episode of Being Exponential, we ran five subscriber-submitted stocks through exactly that filter. Some passed. Some did not. And one gave us the clearest picture of how to play this entire correction. Let’s dig in.

The Gem With a Cracked Chart

Applied Optoelectronics (AAOI) has been hit hard. Very hard. We are down roughly 47% from the highs, matching the stock’s biggest pullback since this uptrend got going in the summer of 2025. We have lost the 50-day moving average. We have lost the 100-day. We broke the March high around $127 emphatically. Only the 200-day is still holding.

That is a cracked chart. No sugarcoating it.

But crack open the fundamentals, and the jade is glowing. We are talking about a company on track to grow revenues about 125% this year to more than $1 billion, then roughly 160% next year to nearly $2.7 billion, then more than 50% again the year after that. Gross margins march from about 30% toward 40% by 2028. EBITDA flips from a loss last year to a projected $500 million-plus by 2027. And you get all of that for about 34 times forward earnings.

There is nothing not to like in that setup. Fundamentally, I mean, it is gorgeous. But I do not catch falling knives. I buy bounces. So my two cents: Wait for AAOI to prove support, and buy the bounce off that support. That is the test hole. Drill it before you pay full price.

Trapped Under the 200

Palantir Technologies (PLTR) is the opposite lesson. A subscriber asked for the buy zone. Right now, there is not one.

Palantir is trapped under a downward-sloping 200-day moving average. It has hit its head on that ceiling once, twice, three times. Rejected all three times. And as the old saying goes, nothing good happens below the 200-day moving average.

The buy zone activates when PLTR retakes that line, currently around $158, and holds above it. Call it a commanding reclaim of the $155 to $160 zone. Until then, I am not constructive. You do not chase stocks that are crashing below the 200. Period.

The King of Outer Space Solar

A subscriber asked which company Elon Musk would tap as the solar infrastructure play for the SpaceX vertical: Redwire (RDW) or Ascent Solar Technologies (ASTI)?

Easy. Redwire has the proof. Redwire powers the International Space Station. Redwire has the contracts, the track record, the incumbency. In an innovation tournament, the later rounds reward the candidates who survive scrutiny, and Redwire has been surviving scrutiny in orbit for years.

Now, the chart demands honesty. I previously identified $15 as the buy zone, and we lost it. Not great. But the stock is holding the $10 to $11 area, where the 100-day and 200-day moving averages converge, and I believe that level holds. If you accumulated at $15, fine. If you missed it, this $10 to $11 zone is the next opportunity. And if we lose that level? Then you start questioning the bull thesis just a little bit. But I do not think we get there. Redwire over ASTI.

The Dual-Optionality Nuclear Play

Last week we covered BWX Technologies (BWXT), and a subscriber countered: Is Cameco (CCJ) the cheaper nuclear alternative?

I recommend Cameco, and here is the numbered logic. One: Cameco is a major uranium producer, and uranium demand rises as the nuclear buildout accelerates. Two: Cameco owns a large stake in Westinghouse, which recently won a massive U.S. government contract to build a fleet of new reactors on American soil. That is dual optionality. Commodity producer on one side, government-backed reactor buildout on the other.

The technicals? Challenged. We lost the 200-day, tried to regain it, lost it again. I do not love that action. But there is heavy support between $90 and $100, and I believe that floor holds and this trend reverses course. If we slice through $90 toward $80, the price action starts challenging the thesis. Until then, the fundamentals win the argument. Wait for the technicals to confirm the fundamental strength, and then act.

One quick word on Datavault AI (DVLT), because a subscriber asked: I do not mess around with 40-cent stocks, and you should not have to either. There are far better AI infrastructure plays out there that do not require digging through the penny bin.

Do Not Fight the ÃÛÌÒ´«Ã½

Zoom out. The semiconductor complex roughly doubled over a stretch of months, and now we are down about 10%. Painful? Sure. But historically, 10% to 15% pullbacks in the big AI infrastructure ETFs, like the VanEck Semiconductor ETF (SMH), are the buy zone. We are in that zone right now. History says this is a buying opportunity.

But history also says you wait for the drill sample. Do not buy until the tape confirms a rebound. Listen to the charts. The best way to lose money in the market is to fight the market. So don’t fight it. Get ready, watch for the bounce, and when the market confirms, get in the game.

Want the full breakdown, charts and all? Watch this week’s episode of Being Exponential, and drop your questions in the comments for a future show, or send them here.

Join Luke Lango in Vegas to Hear His Top Ideas LIVE!

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Plus, this is your chance to meet all your favorite editors in person! You’ll get live market updates and learn about top ideas and stock picks from Luke and Jonathon Rose… plus affiliate editors Marc Chaikin, Whitney Tilson, Dr. David Eifrig, Keith Kaplan, and many more.

The featured speaker lineup this year also includes famed actor Henry Winkler (aka “The Fonz” from Happy Days). And attendees will hear from bestselling authors and experts in economics, technology (including AI), and more.

You can expect two days packed with intriguing presentations and fun social events – all in the luxurious city of Las Vegas. It really pays to be in the room where it all happens!

Reserve your discounted ticket today before they sell out!

The post How to Buy This AI Selloff Without Catching a Falling Knife appeared first on InvestorPlace.

Another day, another wobble in the AI trade…

As I write on Tuesday, South Korea’s Kospi just closed down nearly 5%, its sixth circuit-breaker halt of the year. Leading the crash was Samsung Electronics Co. Ltd. (SSNLF), falling as much as 8% in early trading after delivering its latest earnings report.

But here’s the thing: Samsung’s results were good.

The company guided second-quarter operating profit to about 89.4 trillion won ($58 billion). That’s a roughly 19-fold jump from a year ago. Meanwhile, revenue guidance came in around 171 trillion won, more than double last year’s total.

So, why did the stock get hammered?

Well, investors aren’t punishing the earnings. They’re punishing the overall setup.

Samsung shares had already roughly doubled in 2026 heading into earnings. So, it’s a classic “sell the news” situation, coupled with fears of “can the growth continue apace?”

Meanwhile, this morning also brought news that Chinese AI company DeepSeek is developing its own AI chip. This adds another layer of unease about how much room is left in the memory supercycle.

Put it all together, and “take profits on AI” is the knee-jerk reaction.

For AI investors, some broader perspective can help during moments like this

Here in the Digest, we often dig into the weeds – a Fed decision here, a tariff headline there, an earnings miss that sends a stock reeling for a day or two…

That’s our job – to help you understand what’s happening in real time.

But when we do this, we run the risk of focusing too much on short-term issues that can feel like they have lasting significance – but often don’t.

Many of the “crises” that dominate a week of headlines turn out, in hindsight, to have had real short-term consequences but little lasting impact on the market’s broader trajectory. In other words, while those headlines can be quite significant for short-term traders, they’re mostly noise for long-term investors.

Of course, this can be a problem for investors who forget this distinction. Allowing short-term pressures to affect our long-term positioning is a danger to reaching our investment goals.

Remembering where we are in the big picture is a helpful way to push back against this risk.

How history can help calm rattled nerves

Take a look at the chart below…

It’s the S&P 500 going back to 2017, with a dashed trendline running underneath – a rough approximation for the “spine” of this multiyear climb.

Every major drawdown on this chart – the 2018 selloff, the 2020 COVID crash, the 2022 bear market, last year’s tariff-driven dip – eventually found its way back down to that line before the rally resumed.

But similarly, every exaggerated spike of bullish enthusiasm eventually “came back to Earth,” so to speak. This is just the natural ebb and flow of the market.

Now look again at the chart, zeroing in on where we are today. With the S&P recently touching a fresh all-time high, we’re sitting well above that spine.

That’s not a reason to panic – or even predict an imminent pullback. But it is a reason to remember the “two steps forward, one step back” nature of investing.

A reversion to the spine for both the S&P and the AI trade would be normal

History says these gaps close eventually – sometimes gently, sometimes more violently.

ÃÛÌÒ´«Ã½ analyst Charlie Bilello at Creative Planning ran the numbers on this last year. He studied the market since the March 2009 low, concluding that while the S&P 500 has gained over 1,000% since then (about 16% annually), the return has been anything but smooth.

From Bilello:

There have been 30 corrections since the March 2009 low of more than 5%.

Of these, 10 were larger than 10%, 4 exceeded 20%, and 1 was more than 30%…

In hindsight, it’s tempting to believe you could’ve sidestepped the losses in 2011, 2018, 2020, and 2022, receiving all of the upside since March 2009 with none of the downside. But no one has shown an ability to do so in a repeatable fashion.

Which means that large declines and the fear-inducing narratives associated with them are the price of admission for long-term investors.

And these dips aren’t rare one-off events.

Bilello has also found that in the median year since 1928, an investor in the S&P 500 has experienced a 13% drawdown at some point during the year.

Think about that. Even in “up” years, you might need to sit through a double-digit crash.

For perspective, the pullback we saw between late January and late March this year clocked in at just 9% – smaller than a typical year’s dip.

To be clear, this framework applies to technical pullbacks – prices catching up with themselves. But if earnings growth in the AI trade stalls, or an upstart like DeepSeek creates a technology that changes the economics of AI in a material way, that’s a different conversation, and a legitimate reason to reassess.

But for today, that’s not our situation. Which leaves AI investors with a question…

Which will you believe?

When that pullback comes – and per Bilello, something in that range comes with real regularity – the headlines will not be measured…

You can be sure we’ll see “bubble bursting,” “meltdown,” “the AI trade unwinds,” and so on. That’s not a guess. That’s what the financial media did during every single one of the 30 corrections Bilello just cited.

At that moment, you’ll have a choice…

You can let those headlines set your portfolio decisions for you. Or you can remember that a 10%, or even 20%+, drawdown is the toll every long-term investor has always paid.

Bottom line: Some sort of pullback is coming, and probably one that hurts. How you interpret and respond to it is what actually matters.

Now, when we shift from a long-term investing mindset to a short-term trading one, the situation changes completely.

After all, for traders, volatility creates opportunity…

How Jonathan Rose’s “Convergence Trigger” can help you profit from these selloffs

Our trading expert Jonathan Rose, editor of Advanced Notice, has created a trading system built to capitalize on moments like this.

Jonathan and market veteran Marc Chaikin call it the “Convergence Trigger” – a signal that combines Jonathan’s Unusual Trading Activity tool with Chaikin’s Money Flow to spot exactly when institutional money is piling into a stock before the move happens. Back-tested across nearly 200 trades, it produced an 81% win rate and a 147% average gain.

As we noted yesterday, Jonathan and Marc first introduced this Convergence Trigger at the end of May. Since then, traders have been using it in their own trading portfolios – and many have written in highlighting their results.

Jonathan says these traders have reported gains of 505%, 745%, and even 920% – all just in the weeks since their event.

If you want to see how it works – especially during volatile markets like today – Jonathan and Marc are making their encore presentation available free, for a limited time. Click here to watch.

Coming full circle

Let’s return to Samsung and this morning’s Kospi plunge.

Nothing about a 19-fold profit jump getting punished by an 8% share-price drop breaks the pattern we just walked through. It’s exactly the kind of headline that will dominate the financial press for a day or two, get filed under “AI bubble bursting,” and then fade from memory within a month – while the underlying growth in AI memory demand keeps compounding underneath it.

That doesn’t mean Samsung’s stock is cheap here, or that every AI dip is automatically buyable, or even that there isn’t more pain ahead. It means the instinct to treat one rough session in Seoul as a verdict on the entire AI trade is precisely the instinct Bilello’s numbers warn us against.

If you’re a long-term investor, today’s wobble is the toll you agreed to pay when you bought into AI. And if you’re a trader, today’s wobble is opportunity – which is exactly what Jonathan and Marc built the Convergence Trigger to capture.

Either way, letting fear – or the headlines engineered to produce it – drive your portfolio decisions is always the wrong call.

After all, the market doesn’t punish volatility. It punishes impulsive, knee-jerk reactions to volatility.

Have a good evening,

Jeff Remsburg

The post Why This AI Drawdown Shouldn’t Rattle You appeared first on InvestorPlace.

Right now, one of the biggest forces changing the market is AI. My friend Jonathan Rose wanted to know whether investors could have spotted the early warning signs before AI disrupted companies like Chegg and Fiverr.

He found four warning signs that appeared before those companies began to lose momentum. Then, he applied that same research to today’s market and identified 14 stocks where he believes those signals are starting to show up again.

To build on that research, Jonathan teamed up with Marc Chaikin, the creator of the Money Flow indicator. Together, they combined Jonathan’s research with Marc’s decades of experience tracking where big investors are putting their money, with the goal of spotting opportunities early before they become obvious.

If you missed their recent presentation, the replay is still available. You can watch it here. 

In today’s guest essay, Jonathan walks through those four warning signs, what they could mean for investors today and where he believes new opportunities may be emerging. Check it out below…

****

I did some research recently that I can’t stop thinking about.

I went back and studied the companies that AI has already destroyed:

• Chegg Inc. (CHGG)
• Fiverr International Ltd. (FVRR)
• Teleperformance SE (TLPFY)

I looked at what they all had in common – not after the AI trend has destroyed them, but before. When the stock was still holding up and nobody was really worried yet.

I found four specific tells. Four characteristics that showed up, in some combination, in every single company before the fall.

Once I had the framework, I started running it forward and applied it to companies that by most measures look fine today. I found 14 names with multiple tells stacking up right now.

Some of them will upset you. You might own a few of them. Someone you respect probably recommended them.

But here’s the important point.

The same four signals that show me where smart money is quietly leaving also show me where it’s quietly arriving.

Institutional capital doesn’t sit in cash. When it rotates out of one place, it shows up somewhere else. It is ebb and flow, tidal gravity. It is ecological balance.

And right now, the somewhere else that smart money is flowing is getting very interesting.

In today’s piece, let’s take a walk through these three things:

The four tells – the warning signs I found in every AI casualty before the market caught on – and the 14 stocks those signals are flashing on right now.

Where the big money rotation is going right now, with some proof from our own track record to back it up.

A stock that sits directly in the path of that rotation. It’s one of the names where both a big trend and the smart money activity are pointing in the same direction at the same time.

Let’s get into it.

The Four Tells – and the 14 Names

I want to be clear: I didn’t start this research by looking for specific companies. I started by asking what the pattern was. Then I let the pattern find the names.

Here’s what I found.

Tell #1: Coordinated insider selling. Not one executive trimming a position for tax reasons. Multiple senior people selling at the same time, across different titles, in size. When the people who know the business best are quietly getting out together, that’s not a coincidence.

Tell #2: Senior talent leaving for AI companies. Top engineers. Product leads. Salespeople who know where the customers are going. When they start moving to OpenAI, Anthropic, or the hyperscalers, they’re not leaving for the money alone. They’re leaving because they can see the trajectory from the inside.

Tell #3: Pricing model changes. When a software company suddenly pivots from per-seat to consumption-based pricing, they’ll call it “innovation.” It isn’t. It’s a response to AI undercutting their business model. Companies that are genuinely winning don’t restructure their pricing under pressure.

Tell #4: CEO denial. This one is almost a perfect inverse signal. The earnings call where the CEO says, “AI cannot disrupt our business – our moat is too wide.” Real moats don’t require that kind of reassurance. When you hear it, pay attention to what’s happening underneath the surface.

The 14 names where I’m seeing multiple tells stack up:

• Salesforce Inc. (CRM)
• Adobe Inc. (ADBE)
• Workday Inc. (WDAY)
• Gartner Inc. (IT)
• Atlassian Corp. (TEAM)
• HubSpot Inc. (HUBS)
• EPAM Systems Inc. (EPAM)
• DXC Technology Co. (DXC)
• Palantir Technologies Inc. (PLTR)
• ServiceNow Inc. (NOW)
• Cognizant Technology Solutions Corp. (CTSH)
• CoStar Group Inc. (CSGP)
• Expedia Group Inc. (EXPE)
• Automatic Data Processing Inc. (ADP)

I’m not saying they all collapse tomorrow. I’m saying the smart money is repositioning out of them – and historically, price follows positioning. These are names I’m watching carefully, not holding.

The Other Side of the Rotation

The flip side is more interesting.

Everything AI is dismantling in software is simultaneously creating opportunity somewhere else.

One of the biggest beneficiaries may not be another software company at all. It may be biotechnology.

AI is dramatically accelerating how researchers identify drug candidates, analyze massive datasets, and shorten the path from discovery to development. Some industry leaders have even described the next decade as the beginning of a biotech renaissance.

The challenge, of course, is figuring out which companies actually benefit.

Rather than trying to predict which experimental drug will eventually succeed, I prefer to follow the money. Institutional investors have a habit of identifying the most promising opportunities long before the headlines catch up.

One company that’s climbed to the top of my watchlist is Artiva Biotherapeutics (ARTV). Artiva is still a speculative small-cap biotech, and I’ll say that plainly. Success in oncology development is never guaranteed. But that’s precisely why I find it interesting.

What’s catching my attention isn’t simply the science. It’s the combination of institutional buying, improving technical action, and the kind of asymmetric risk profile that has historically produced some of our best opportunities. AI may dramatically accelerate the pace of innovation across biotech, but I still want confirmation that sophisticated investors are putting real money to work.

Which brings me to why Marc Chaikin and I have joined forces.

Marc has spent 60 years in markets. He created the Money Flow indicator that’s now in Bloomberg terminals and virtually every major trading platform on the planet. For decades he built research tools for the world’s biggest hedge funds, and then walked away to give regular investors access to the same analysis.

Marc can tell you where institutional money is flowing. I can tell you where the highest-conviction positioning is building. We both thought those two things were built to work together.

And so, we’ve spent that last few months putting them together to see what happens.

We backtested the combination against nearly 200 of my real trade recommendations. The results surprised even me. Confirmed setups produced 45% higher average gains than unconfirmed ones. Win rate jumped 17 percentage points. And the filter would have kept us out of two-thirds of losing trades.

We’re calling it the Convergence Trigger – and it’s become one of our favorite ways to uncover some of the market’s highest-conviction opportunities. You can see what happens when the signals align right here.

Every stock we highlight has met a strict set of technical, momentum, and money flow criteria. We don’t share these ideas often – only when the signals line up.

When they do, we want our readers to know about them.

Click here to see what we’re watching now.

The creative trader always wins,

Jonathan Rose

Founder, Masters in Trading

P.S. One thing I appreciate about Jonathan’s approach is that he spends less time trying to predict the future and more time tracking where institutional money is actually moving right now. In markets this volatile, that distinction matters. He and Marc Chaikin are breaking down that process during their “Convergence Trigger” presentation. Get your inside look at the process Jonathan uses to identify high-conviction opportunities here.

The post 4 Signs a Company Is About to Be Destroyed by AI appeared first on InvestorPlace.

On one side was Bitcoin. Down nearly 30% this year, and below $60,000 for the first time since 2024.

On the other side were Bitcoin miners. Their stocks were up around 56% so far in 2026.

At first glance, it doesn’t make any sense.

For years, those two charts might as well have been one. Bitcoin went up… miners went up. Bitcoin went down… miners went down. That’s just how the market worked.

Except, not anymore.

After nearly three decades trading on the floors in Chicago, I’ve learned that when two things that usually move together suddenly stop moving together, it’s usually because the market has figured something out before everyone else has.

Most investors see a contradiction. Professional traders see a clue.

I want to show you more about that today.

I’m going to explain why Bitcoin miners have quietly become one of the most interesting AI infrastructure stories in the market…

Introduce you to a few companies I think are leading that transition…

And show you why this is exactly the kind of market shift Marc Chaikin and I built our Convergence Trigger system to identify before it becomes obvious to everyone else.

Same Substation. Different Tenant.

Sometimes, companies don’t change, but the market changes the business they’re in. Bitcoin miners are a perfect example.

For years, investors valued them almost entirely on one thing: Bitcoin’s price. That made sense.

Crypto mining companies filled giant warehouses with specialized computers, consumed enormous amounts of electricity, and turned all that power into digital coins. If Bitcoin went up, their economics improved. If Bitcoin fell, investors headed for the exits.

Simple.

Then something unexpected happened: AI kept running into walls. First power, then transformers, and eventually substations, cooling systems, memory, and electrical equipment.

While everyone wants to build AI data centers, utilities can’t magically create new substations, transmission lines, transformers, cooling systems, and grid connections overnight. Those things take years to permit and build.

That’s when the AI hyperscalers started asking a different question —  who already owns massive, energized industrial sites connected directly to the electrical grid?

The answer is Bitcoin miners.

Nothing about their land, electrical infrastructure, or transmission connections changed. The only change was where the demand was coming from.

The companies remain essentially the same, but I don’t think of this business as Bitcoin mining anymore. They’re now AI infrastructure companies that have discovered their most valuable asset isn’t Bitcoin.

It’s electricity.

That’s why those charts suddenly diverged. The market went looking for power, found it in Bitcoin miners, and started repricing them.

And once I saw that, the entire sector started making sense.

Follow the Power, Not the Headlines

This isn’t the first time Wall Street has misunderstood what it was looking at.

During every major technology boom, investors spend the early years obsessing over the obvious winners. Then they slowly realize the real money often sits one layer underneath.

The internet needed fiber, cloud computing needed data centers, and the shale revolution needed pipelines and pressure-pumping equipment.

AI needs electricity – and lots of it.

That’s why I think this transition is still in its early innings.

Wall Street research firm Bernstein estimates publicly traded Bitcoin miners control more than 27 gigawatts of planned power capacity. Many are signing 15- to 25-year agreements with AI customers instead of dedicating those facilities to Bitcoin mining.

That’s an entirely different business model, one with long-term contracts, predictable cash flows, and investment-grade counterparties.

Instead of hoping Bitcoin rallies next month, they’re signing long-term infrastructure contracts.

That’s a very different investment thesis.

Three “Miner” Names I’m Watching

If you’ve been watching at Masters in Trading Live, you’ve probably heard me mention these crypto miners-turned-AI infrastructure names before.

IREN Ltd. (IREN) remains my favorite. The company has partnered directly with Nvidia Corp. (NVDA), continues expanding its power footprint, and — something I really like — has deliberately avoided turning itself into another leveraged Bitcoin proxy. It’s focused on building an AI infrastructure business.

Cipher Digital Inc. (CIFR) has also been making this transition aggressively. We’ve traded it successfully before, and I continue to like what management is doing as it shifts toward long-term AI hosting contracts.

And then there’s TeraWulf Inc. (WULF). I’ve joked on the livestream about it being “Google’s landlord.” That’s obviously an oversimplification, but it captures what’s happening. Alphabet Inc. (GOOG) has invested heavily in the company as TeraWulf transforms some of its Bitcoin-mining sites into AI data center infrastructure. Instead of earning money primarily from mining coins, it’s increasingly getting paid to provide the power, land, and facilities AI companies (including Google) desperately need.

The market used to value these companies based on how many coins they mined. Today it’s beginning to value them based on who leases their AI infrastructure.

Now, I want to be clear.

I’m not telling you to run out and buy every Bitcoin miner you can find. Some will execute this transition well, but plenty won’t.

The opportunity is in knowing which companies big institutional investors – the “smart money” – are quietly accumulating before everyone else starts telling the same story.

That’s Why Marc and I Built Convergence

One thing I’ve learned over the years is that Wall Street almost never announces these transitions.

They don’t ring a bell.

The smart money moves first. A few months later, analysts upgrade the stocks. Then the rest of us see the headlines.

That’s frustrating if you’re trying to stay ahead of the market.

It’s also exactly why Marc Chaikin and I started working together.

I’ve always been comfortable spotting unusual market behavior—moments when the tape starts telling a different story than the headlines. That’s what I did on the trading floor for nearly three decades.

Bitcoin down, miners up. That’s exactly the kind of divergence that gets my attention.

But direction has always been harder.

Marc built his career studying institutional money flow… direction.

When we combined those two approaches, we found something neither of us had on our own. We call it the Convergence Trigger.

Instead of asking, “Is this an interesting story?” we ask, “Are institutions already positioning for it?”

Because by the time everyone agrees Bitcoin miners have become AI infrastructure companies, the biggest gains may already be behind us.

Marc and I recently sat down to explain exactly how we’re using this approach — not just with Bitcoin miners, but across AI infrastructure, SpaceX-related opportunities, and several other market themes we’re watching right now.

If you missed that free presentation, we’ve made it available again for a limited time.

I think you’ll come away with something even more valuable than three stock ideas. You’ll come away with a different way of looking at the market.

You’ll understand that the biggest winners often aren’t hiding at all. They’re simply being misunderstood.

Remember, the creative trader wins.

Jonathan Rose,

Founder, Masters in Trading

P.S. One of the things I appreciate most about Jonathan’s work is that he doesn’t stop at the headline. He asks the next question. In this case, it wasn’t “What is Bitcoin doing?” It was “Why are the miners behaving differently?” That’s the kind of thinking he and Marc Chaikin unpack in their Convergence presentation. If you haven’t watched it yet, I’d encourage you to set aside a little time. I think you’ll see the market a bit differently afterward.

The post Bitcoin Miners Are Now in the AI Business. Here Are Three Worth Watching. appeared first on InvestorPlace.

Editor’s Note: One of the things I appreciate most about Jonathan Rose is that he doesn’t stop at the headline. He asks the next question.

In this case, it wasn’t “what is Bitcoin doing?” but “why are the miners behaving differently?” That’s the kind of thinking he and Marc Chaikin unpack in their Convergence presentation. If you haven’t watched it yet, I’d encourage you to set aside a little time. I think you’ll see the market a bit differently afterward.

In today’s guest essay, Jonathan explains why many of these miners are quietly becoming AI infrastructure plays — and why that shift is still in its early stages, with plenty of runway left. Plus, he identifies three companies that stand to benefit.

Read on for all the details.

The other morning on my daily livestream, I put up a chart that made everyone watching think I’d made a mistake.

On one side was Bitcoin. Down nearly 30% this year and below $60,000 for the first time since 2024.

On the other side were Bitcoin miners. Their stocks were up around 56% so far in 2026.

At first glance, it doesn’t make any sense.

For years, those two charts might as well have been one. Bitcoin went up… miners went up. Bitcoin went down… miners went down. That’s just how the market worked.

Except, not anymore.

After nearly three decades trading on the floors in Chicago, I’ve learned that when two things that usually move together suddenly stop moving together, it’s usually because the market has figured something out before everyone else has.

Most investors see a contradiction. Professional traders see a clue.

I want to show you more about that today.

I’m going to explain why Bitcoin miners have quietly become one of the most interesting AI infrastructure stories in the market… 

Introduce you to a few companies I think are leading that transition… 

And show you why this is exactly the kind of market shift Marc Chaikin and I built our Convergence system to identify before it becomes obvious to everyone else.

Same Substation, Different Tenant: Why Bitcoin Miners Are Becoming AI Infrastructure Stocks

Sometimes, companies don’t change, but the market changes the business they’re in. Bitcoin miners are a perfect example.

For years, investors valued them almost entirely on one thing: Bitcoin’s price. That made sense.

Crypto mining companies filled giant warehouses with specialized computers, consumed enormous amounts of electricity, and turned all that power into digital coins. If Bitcoin went up, their economics improved. If Bitcoin fell, investors headed for the exits.

Simple.

Then something unexpected happened: AI kept running into walls. First power, then transformers, and eventually substations, cooling systems, memory, and electrical equipment.

While everyone wants to build AI data centers, utilities can’t magically create new substations, transmission lines, transformers, cooling systems, and grid connections overnight. Those things take years to permit and build.

That’s when the AI hyperscalers started asking a different question —  who already owns massive, energized industrial sites connected directly to the electrical grid?

The answer is Bitcoin miners.

Nothing about their land, electrical infrastructure, or transmission connections changed. The only change was where the demand was coming from.

The companies remain essentially the same, but I don’t think of this business as Bitcoin mining anymore. They’re now AI infrastructure companies that have discovered their most valuable asset isn’t Bitcoin.

It’s electricity.

That’s why those charts suddenly diverged. The market went looking for power, found it in Bitcoin miners, and started repricing them.

And once I saw that, the entire sector started making sense.

Follow the Power: The AI Trade Hidden Inside Bitcoin Mining Stocks

This isn’t the first time Wall Street has misunderstood what it was looking at.

During every major technology boom, investors spend the early years obsessing over the obvious winners. Then they slowly realize the real money often sits one layer underneath.

The internet needed fiber, cloud computing needed data centers, and the shale revolution needed pipelines and pressure-pumping equipment.

AI needs electricity – and lots of it.

That’s why I think this transition is still in its early innings.

Wall Street research firm Bernstein estimates publicly traded Bitcoin miners control more than 27 gigawatts of planned power capacity. Many are signing 15- to 25-year agreements with AI customers instead of dedicating those facilities to Bitcoin mining.

That’s an entirely different business model, one with long-term contracts, predictable cash flows, and investment-grade counterparties.

Instead of hoping Bitcoin rallies next month, they’re signing long-term infrastructure contracts.

That’s a very different investment thesis.

Three Bitcoin Miners Pivoting Into AI Data Centers

If you’ve been watching at Masters in Trading Live, you’ve probably heard me mention these crypto miners-turned-AI infrastructure names before.

IREN Ltd. (IREN) remains my favorite. The company has partnered directly with Nvidia Corp. (NVDA), continues expanding its power footprint, and — something I really like — has deliberately avoided turning itself into another leveraged Bitcoin proxy. It’s focused on building an AI infrastructure business.

Cipher Digital Inc. (CIFR) has also been making this transition aggressively. We’ve traded it successfully before, and I continue to like what management is doing as it shifts toward long-term AI hosting contracts.

And then there’s TeraWulf Inc. (WULF). I’ve joked on the livestream about it being “Google’s landlord.” That’s obviously an oversimplification, but it captures what’s happening. Alphabet Inc. (GOOG) has invested heavily in the company as TeraWulf transforms some of its Bitcoin-mining sites into AI data center infrastructure. Instead of earning money primarily from mining coins, it’s increasingly getting paid to provide the power, land, and facilities AI companies (including Google) desperately need. 

The market used to value these companies based on how many coins they mined. Today it’s beginning to value them based on who leases their AI infrastructure.

Now, I want to be clear.

I’m not telling you to run out and buy every Bitcoin miner you can find. Some will execute this transition well, but plenty won’t.

The opportunity is in knowing which companies big institutional investors – the “smart money” – are quietly accumulating before everyone else starts telling the same story.

How to Spot the Bitcoin Miners Institutions Are Buying

One thing I’ve learned over the years is that Wall Street almost never announces these transitions.

They don’t ring a bell.

The smart money moves first. A few months later, analysts upgrade the stocks. Then the rest of us see the headlines.

That’s frustrating if you’re trying to stay ahead of the market.

It’s also exactly why Marc Chaikin and I started working together.

I’ve always been comfortable spotting unusual market behavior—moments when the tape starts telling a different story than the headlines. That’s what I did on the trading floor for nearly three decades.

Bitcoin down, miners up. That’s exactly the kind of divergence that gets my attention.

But direction has always been harder.

Marc built his career studying institutional money flow… direction.

When we combined those two approaches, we found something neither of us had on our own. We call it the Convergence Trigger.

Instead of asking, “Is this an interesting story?” we ask, “Are institutions already positioning for it?”

Because by the time everyone agrees Bitcoin miners have become AI infrastructure companies, the biggest gains may already be behind us.

Marc and I recently sat down to explain exactly how we’re using this approach — not just with Bitcoin miners, but across AI infrastructure, SpaceX-related opportunities, and several other market themes we’re watching right now.

If you missed that free presentation, we’ve made it available again for a limited time.

I think you’ll come away with something even more valuable than three stock ideas. You’ll come away with a different way of looking at the market.

You’ll understand that the biggest winners often aren’t hiding at all. They’re simply being misunderstood.

The post Bitcoin Is Down. Miners Are Up. That’s the Signal. appeared first on InvestorPlace.

Micron Technology, Inc. (MU) fell about 14% in just five trading days. Seagate Technology Holdings plc (STX) dropped nearly 18%. And Sandisk Corporation (SNDK) tumbled almost 20%.

At first glance, it looked like investors were dumping AI memory stocks.

But that’s not what happened.

The truth is, last week’s selloff had far more to do with how Wall Street trades than with the companies themselves.

This morning’s rebound is a good reminder of that. Investors are warming back up to AI, helping lift the S&P 500 and NASDAQ higher. But there’s a reason last week’s sell-off happened, and it’s important for you to know.

It’s a pattern I’ve seen before.

Once you understand what caused it, you’ll start looking at sharp pullbacks very differently.

That’s why, in this week’s Navellier ÃÛÌÒ´«Ã½ Buzz, I explain why last week’s AI pullback was more of a Wall Street shakeout than a warning sign. I also share which AI infrastructure stocks are next in line to buy and why I still consider Micron, Seagate and SanDisk “screaming buys” after the selloff.

Plus, I’ll also talk about what the Atlanta Federal Reserve’s recent downgrade in GDP really means, why gold is resurging and my top natural gas pick for this summer.

Click the image below to watch now.

To see more of my videos, click here to subscribe to my YouTube channel.

Plus, the grades in Stock Grader (subscription required) have been updated this week! Click here to plug in your own stocks and see how they’re rated.

The Next Turning Point Could Be Days Away

If last week’s pullback taught us anything, it’s that understanding how Wall Street moves can make all the difference.

Stocks don’t just move because of headlines. They move because money moves.

And the key is knowing whether the big money is moving in or out before the crowd figures it out.

But on July 23, that lesson could be put to the test when the second-quarter earnings season kicks into high gear.

I believe what happens that day could reveal where Wall Street is headed next.

But the real challenge is figuring out where it’s headed before everyone else does.

That’s exactly why I built my Precursor Intelligence – or P.I. for short. It’s designed to help me identify where institutional money could move next, before the rest of Wall Street catches on.

With July 23 quickly approaching, that kind of insight could become more important than ever.

In my new presentation, I’ll explain why July 23 could become a pivotal day for the market and why I’m watching it so closely. I’ll also show you how P.I. works and reveal several stocks my system says could be next in line as institutional money makes its next move.

Click here to watch now.

Sincerely,

Louis Navellier

Editor, ÃÛÌÒ´«Ã½ 360

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

Micron Technology, Inc. (MU), Sandisk Corporation (SNDK) and Seagate Technology Holdings plc (STX)

The post These 3 AI Stocks Just Got Hit, But I Think They’re Screaming Buys… appeared first on InvestorPlace.

As I write on Monday morning, AI stocks are jumping, a welcome change from last week’s selling pressure.

Still, AI has felt different recently. At last Thursday’s close, the AI-heavy Nasdaq 100 had fallen more than 4% since mid-June, and many AI darlings were (and some remain) down double digits.

Over this stretch, the bears have grown louder. For instance, even this morning as tech stocks move higher, CNBC features an article titled “Semiconductor stocks are flashing warning signs of a possible top. What to watch.”

So, let’s revisit the question we must ask periodically: Is this the start of the crash?

According to our hypergrowth expert, Luke Lango, editor of Innovation Investor, no.

Here he is to explain:

The mechanics of today’s price action are classic end-of-half, beginning-of-half repositioning.

Portfolio managers are rebalancing — trimming positions that have run dramatically in H1 to harvest gains and redeploy into underperforming names that look cheap on relative valuation metrics.

This is not driven by fundamental analysis of AI infrastructure demand…

The rotation changes none of that. It only changes the price at which you can buy in to it.

Legendary investor Louis Navellier made the same point about portfolio managers rebalancing.

Here’s Louis from a Growth Investor Special ÃÛÌÒ´«Ã½ Podcast last week:

The market is rotating…

We’re now on holiday trading. So, traders have largely cleaned out their inventories and are in the Hamptons or somewhere else for the weekend.

It’s unfortunate they take the winners and have to punish them from time to time, but they’ll bounce right back.

Louis sent out another Special ÃÛÌÒ´«Ã½ Podcast this morning. As tech pushes higher, he tells his readers:

All last week was, was just normal profit-taking headed into the holiday weekend. And now it’s time to focus on earnings.

***Still, such pullbacks can be hard to stomach, so an analogy might help investors worried about the bubble popping

Imagine two balloons: one fully inflated to the point of bursting, the other only half-full. Which one’s easier to pop?

Obviously, the fully inflated one.

Periodic flushes in the AI trade like the one we’ve seen in recent weeks work the same way – air releasing, letting pressure escape before it builds to a popping point.

And when AI stock prices fall while AI earnings keep rising (which they are, as we’ve highlighted in recent Digests), it takes pressure off forward valuations.

While that’s the technical benefit of these selloffs, there’s also a sentiment-related benefit…

Recall last Wednesday’s Digest where I made the point that market tops are almost always marked by rabid greed, FOMO, and a widely held belief that the party will never end. Do these recent headlines sound like that to you?

• “S&P 500 to 5,600? Gareth Soloway says the AI trade is cracking” –The Street
• “‘Yet another way in which 2026 is looking like 1999’: Top analyst fears bubble popping with investors and Wall Street out over their skis” –Fortune
• “A VC Says the ‘All Your Eggs in the AI Basket’ Trade Is Finally Cracking — Here’s Where the Money Goes Next” –24/7 Wall Street

Paradoxically, the late-cycle selloffs that spook investors are part of what keeps a bull market running longer than the bears expect.

So, is the AI trade cracking?

While nobody knows for sure, it’s highly unlikely.

Here’s Luke’s bottom line – and what to do now:

Rotation days are not warnings. They are invitations…

The last time we had price action this extreme — AI stocks down hard, beaten-down software names ripping — SMH was 8% higher within days.

The rotation resolved, the fundamentals reasserted themselves, and the investors who used the flush to add were rewarded.

Today’s rotation is the same pattern…

The second half of 2026 is just getting started. Use the dip.

This brings us to veteran trader Jonathan Rose, who’s been making great use of dips in recent weeks.

Jonathan’s “Convergence Trigger”: the results, and where it’s flashing now

Could I interest you in roughly 900% returns in about a month?

At the end of May, Jonathan and market veteran Marc Chaikin went public with something they’d spent months building together: a system called the Convergence Trigger.

Both Jonathan and Marc’s systems follow institutional money, but from different angles…

Jonathan’s Unusual Trading Activity tool reveals what big players are doing before the move happens. Chaikin’s Money Flow measures the actual flow of capital in or out of a stock in real time.

Together, they create a more complete picture of where institutional money is really going.

And when both signals align on the same trade – resulting in this “Convergence Trigger” – the results from nearly 200 back-tested trades are striking: an 81%-win rate and a 147% average gain. And critically, the combined signal helped avoid two out of every three losing trades.

We’re now roughly one month after Jonathan and Marc debuted the Convergence Trigger. So, how’s it actually performing in real portfolios?

Here are some results shared by Jonathan’s readers:

• “243% gain! With next week being a shortened trading week, now seemed to be a good time to print some money for me!” –Jeff R. (not this Jeff R.)
• “In for $0.20, out for $4.32 — up 2,060%! Thank you!” –Ernie H.
• “JR, I am new but jumped into BFLY. It is flying today and my return has gone parabolic… my return on a relatively large position for me is at least 5X.” – David H

Here’s more from Jonathan:

Readers have reported gains of 505%… 745%… and even 920% – all just in the weeks since our event. You could have seen the same gains yourself if you’d been paying attention.

Better still, we now have a state-of-the-art, AI-powered tool scanning the market for these opportunities for readers 24/7… which is why I expect many more similar gains going forward.

So, where are the latest opportunities?

The Convergence Trigger just flagged a new setup, and it’s an odd one

Bitcoin (BTC) is down nearly 30% this year. But Bitcoin miners, historically glued to Bitcoin’s price, are up around 56%.

Jonathan just dove into this seeming inconsistency, explaining that AI’s endless hunger for power ran into a wall of substations, transformers, and grid connections that take years to build.

So, hyperscalers went looking for companies that already own energized, grid-connected industrial sites. That’s Bitcoin miners.

What are the specific stocks that are benefiting?

Jonathan flags Cipher Digital Inc. (CIFR) and TeraWulf Inc. (WULF). I’ll note that WULF is soaring nearly 14% as I write on news that Anthropic has signed a 20-year lease on a TeraWulf data center in Kentucky.

But even with this news, there’s a third play that Jonthan likes even more:

IREN Ltd. (IREN) remains my favorite.

The company has partnered directly with Nvidia Corp. (NVDA), continues expanding its power footprint, and — something I really like — has deliberately avoided turning itself into another leveraged Bitcoin proxy.

It’s focused on building an AI infrastructure business.

I’ll note that it’s also up about 15% today as I write.

If you want the full walkthrough of how the Convergence Trigger works, click here to watch Jonathan and Marc’s encore presentation. We’re making it available for free again for only a limited time.

Circling back to Bitcoin miners, here’s Jonathan’s bottom line:

I’m not telling you to run out and buy every Bitcoin miner you can find. Some will execute this transition well, but plenty won’t.

The opportunity is in knowing which companies big institutional investors – the “smart money” – are quietly accumulating before everyone else starts telling the same story.

Finally, Eric Fry’s copper call – checking the scorecard at the halfway mark

Every January, our global macro expert Eric Fry, editor of Fry’s Investment Report, publishes a “Forecast Issue” laying out his boldest calls for the year ahead.

Now that we’re through the first half of 2026, he’s circling back to grade his own homework – and one call in particular stands out.

Back in January, Eric told his readers:

Copper prices will reach at least $7.50 per pound sometime in 2026 – driven by structural supply constraints and accelerating demand for electrification, AI infrastructure, renewables, grid expansion, and industrial modernization.

So, how’s that playing out?

Copper started the year at $5.70 a pound. It’s since climbed to about $6.20 – still a good stretch from Eric’s $7.50 target. But the metal has notched record highs along the way, and half the year still remains.

Meanwhile, the thesis behind the number hasn’t budged. As Eric put it in April:

Copper has always been the wiring of the world. But now, the world is demanding more wiring than it has at any point in history.

AI infrastructure, electrification, decarbonization, data centers, and EVs are all, at bottom, copper stories – a single hyperscale AI data center alone can consume up to 50,000 tons of the metal.

But the supply side isn’t keeping pace…

The International Copper Study Group expects the refined-copper market to swing into a deficit of roughly 150,000 tonnes this year. Eric says it will take more than $200 billion in new mining investment to close the long-term gap – compare that with the roughly $76 billion the industry actually invested over the past six years.

That combination – surging demand, a widening structural deficit – is exactly why Eric says this remains one of the better ways to play the AI boom without paying up for a household-name AI stock.

Bottom line: Copper hasn’t hit Eric’s $7.50 target – yet.

But with six months left on the clock and the structural case intact, he’s not backing off of it.

So, what’s Eric’s favorite way to play it?

Freeport-McMoRan Inc. (FCX), up over 20% year-to-date, and up about 255% in Eric’s Investment Report portfolio.

FCX is just one name on Eric’s buy list today. He also has a “drop immediately” list that flags many broadly owned stocks he believes are at risk today – some of them AI darlings. You can find his full breakdown in his free Sell This, Buy That presentation here.

Coming full circle

Three stories today, one common thread…

Don’t confuse noise for signal.

AI stocks dipping doesn’t mean the bull market’s over. It means portfolio managers have been doing what portfolio managers will do at the end of a quarter.

Meanwhile, a trading system flashing on Bitcoin miners doesn’t mean you chase every crypto-adjacent ticker. It means smart money is quietly repricing the leaders before the headlines catch up.

And copper sitting at $6.20 instead of Eric’s $7.50 target doesn’t mean the forecast was wrong. It means the thesis is well on its way to playing out with six months left.

In every case, the initial noise/headline grabs your attention. But it’s the ensuing signal that’s more likely to make you money.

We’ll keep tracking all of it here in the Digest.

Have a good evening,

Jeff Remsburg

The post Is AI Cracking – or About to Break Out? appeared first on InvestorPlace.

This Week’s Ratings Changes:

Upgraded: Strong to Very Strong

Downgraded: Very Strong to Strong

Upgraded: Neutral to Strong

Downgraded: Strong to Neutral

Upgraded: Weak to Neutral

Downgraded: Neutral to Weak

Upgraded: Very Weak to Weak

Downgraded: Weak to Very Weak

To stay on top of my latest stock ratings, plug your holdings into Stock Grader, my proprietary stock screening tool. But, you must be a subscriber to one of my premium services.

To learn more about my premium service, Growth Investor, and get my latest picks, go here. Or, if you are a member of one of my premium services, you can go here to get started.

Sincerely,

Louis Navellier

Editor, ÃÛÌÒ´«Ã½ 360

The post Planet Labs Upgraded, Royal Caribbean Downgraded: Updated Rankings on Top Blue-Chip Stocks appeared first on InvestorPlace.

In today’s guest essay, he explains why many of these companies are quietly becoming AI infrastructure plays — and why that shift is still in its early stages. Plus, he identifies three companies that stand to benefit.

It’s also a perfect example of the kind of market transition Jonathan and Wall Street veteran Marc Chaikin built their new Convergence system to identify before the broader market catches on. You can watch their free presentation here.

The other morning on my daily livestream, I put up a chart that made everyone watching think I’d made a mistake.

On one side was Bitcoin. Down nearly 30% this year, and below $60,000 for the first time since 2024.

On the other side were Bitcoin miners. Their stocks were up around 56% so far in 2026.

At first glance, it doesn’t make any sense.

For years, those two charts might as well have been one. Bitcoin went up… miners went up. Bitcoin went down… miners went down. That’s just how the market worked.

Except, not anymore.

After nearly three decades trading on the floors in Chicago, I’ve learned that when two things that usually move together suddenly stop moving together, it’s usually because the market has figured something out before everyone else has.

Most investors see a contradiction. Professional traders see a clue.

I want to show you more about that today.

I’m going to explain why Bitcoin miners have quietly become one of the most interesting AI infrastructure stories in the market…

Introduce you to a few companies I think are leading that transition…

And show you why this is exactly the kind of market shift Marc Chaikin and I built our Convergence system to identify before it becomes obvious to everyone else.

Same Substation. Different Tenant.

Sometimes, companies don’t change, but the market changes the business they’re in. Bitcoin miners are a perfect example.

For years, investors valued them almost entirely on one thing: Bitcoin’s price. That made sense.

Crypto mining companies filled giant warehouses with specialized computers, consumed enormous amounts of electricity, and turned all that power into digital coins. If Bitcoin went up, their economics improved. If Bitcoin fell, investors headed for the exits.

Simple.

Then something unexpected happened: AI kept running into walls. First power, then transformers, and eventually substations, cooling systems, memory, and electrical equipment.

While everyone wants to build AI data centers, utilities can’t magically create new substations, transmission lines, transformers, cooling systems, and grid connections overnight. Those things take years to permit and build.

That’s when the AI hyperscalers started asking a different question —  who already owns massive, energized industrial sites connected directly to the electrical grid?

The answer is Bitcoin miners.

Nothing about their land, electrical infrastructure, or transmission connections changed. The only change was where the demand was coming from.

The companies remain essentially the same, but I don’t think of this business as Bitcoin mining anymore. They’re now AI infrastructure companies that have discovered their most valuable asset isn’t Bitcoin.

It’s electricity.

That’s why those charts suddenly diverged. The market went looking for power, found it in Bitcoin miners, and started repricing them.

And once I saw that, the entire sector started making sense.

Follow the Power, Not the Headlines

This isn’t the first time Wall Street has misunderstood what it was looking at.

During every major technology boom, investors spend the early years obsessing over the obvious winners. Then they slowly realize the real money often sits one layer underneath.

The internet needed fiber, cloud computing needed data centers, and the shale revolution needed pipelines and pressure-pumping equipment.

AI needs electricity – and lots of it.

That’s why I think this transition is still in its early innings.

Wall Street research firm Bernstein estimates publicly traded Bitcoin miners control more than 27 gigawatts of planned power capacity. Many are signing 15- to 25-year agreements with AI customers instead of dedicating those facilities to Bitcoin mining.

That’s an entirely different business model, one with long-term contracts, predictable cash flows, and investment-grade counterparties.

Instead of hoping Bitcoin rallies next month, they’re signing long-term infrastructure contracts.

That’s a very different investment thesis.

Three “Miner” Names I’m Watching

If you’ve been watching at Masters in Trading Live, you’ve probably heard me mention these crypto miners-turned-AI infrastructure names before.

IREN Ltd. (IREN) remains my favorite. The company has partnered directly with Nvidia Corp. (NVDA), continues expanding its power footprint, and — something I really like — has deliberately avoided turning itself into another leveraged Bitcoin proxy. It’s focused on building an AI infrastructure business.

Cipher Digital Inc. (CIFR) has also been making this transition aggressively. We’ve traded it successfully before, and I continue to like what management is doing as it shifts toward long-term AI hosting contracts.

And then there’s TeraWulf Inc. (WULF). I’ve joked on the livestream about it being “Google’s landlord.” That’s obviously an oversimplification, but it captures what’s happening. Alphabet Inc. (GOOG) has invested heavily in the company as TeraWulf transforms some of its Bitcoin-mining sites into AI data center infrastructure. Instead of earning money primarily from mining coins, it’s increasingly getting paid to provide the power, land, and facilities AI companies (including Google) desperately need.

The market used to value these companies based on how many coins they mined. Today it’s beginning to value them based on who leases their AI infrastructure.

Now, I want to be clear.

I’m not telling you to run out and buy every Bitcoin miner you can find. Some will execute this transition well, but plenty won’t.

The opportunity is in knowing which companies big institutional investors – the “smart money” – are quietly accumulating before everyone else starts telling the same story.

That’s Why Marc and I Built Convergence

One thing I’ve learned over the years is that Wall Street almost never announces these transitions.

They don’t ring a bell.

The smart money moves first. A few months later, analysts upgrade the stocks. Then the rest of us see the headlines.

That’s frustrating if you’re trying to stay ahead of the market.

It’s also exactly why Marc Chaikin and I started working together.

I’ve always been comfortable spotting unusual market behavior—moments when the tape starts telling a different story than the headlines. That’s what I did on the trading floor for nearly three decades.

Bitcoin down, miners up. That’s exactly the kind of divergence that gets my attention.

But direction has always been harder.

Marc built his career studying institutional money flow… direction.

When we combined those two approaches, we found something neither of us had on our own. We call it the Convergence Trigger.

Instead of asking, “Is this an interesting story?” we ask, “Are institutions already positioning for it?”

Because by the time everyone agrees Bitcoin miners have become AI infrastructure companies, the biggest gains may already be behind us.

Marc and I recently sat down to explain exactly how we’re using this approach — not just with Bitcoin miners, but across AI infrastructure, SpaceX-related opportunities, and several other market themes we’re watching right now.

If you missed that free presentation, we’ve made it available again for a limited time.

I think you’ll come away with something even more valuable than three stock ideas. You’ll come away with a different way of looking at the market.

You’ll understand that the biggest winners often aren’t hiding at all. They’re simply being misunderstood.

Remember, the creative trader wins.

Jonathan Rose

Founder, Masters in Trading

P.S. One of the things I appreciate most about Jonathan’s work is that he doesn’t stop at the headline. He asks the next question. In this case, it wasn’t “What is Bitcoin doing?” It was “Why are the miners behaving differently?” That’s the kind of thinking he and Marc Chaikin unpack in their Convergence presentation. If you haven’t watched it yet, I’d encourage you to set aside a little time. I think you’ll see the market a bit differently afterward.

The post Don’t Chase Bitcoin – Own the Companies Powering AI appeared first on InvestorPlace.

Prices rose. Producers added capacity. Supply caught up. Prices crashed. Investors learned the rhythm: buy the shortage, sell the expansion, and never forget that the next bust was waiting somewhere down the road. 

Micron’s (MU) latest quarter suggests that rhythm may be changing.

The headline numbers were excellent. Revenue surged, margins hit records, and guidance jumped again.  But the real story was not just the earnings report.

It was the contracts.

Micron disclosed 16 strategic customer agreements designed to give customers long-term access to memory supply through the end of the decade. Many of those agreements include minimum-price terms or pricing bands — basically, protections that give Micron more certainty around what customers will pay. 

In other words, customers are not just buying memory. They are reserving it.

The most valuable memory supply is getting locked up before it ever reaches the open market.

That is not how a normal commodity cycle behaves.

And it’s the part of Micron’s quarter investors should be studying most closely. 

Micron’s Real Story Was 16 Long-Term AI Memory Contracts

Micron’s fiscal Q3 revenue came in at $41.46 billion, up from $23.86 billion the prior quarter and $9.30 billion a year ago. Non-GAAP EPS hit $25.11, while non-GAAP gross margin reached 84.9%. Then came the guidance: roughly $50 billion in fiscal Q4 revenue, about $31 in non-GAAP EPS, and gross margin around 86%.

As impressive as they are, even those numbers were not the most important part of the quarter.

The bigger reveal was that Micron has entered into 16 strategic customer agreements across data center, consumer, and automotive markets. Most run from calendar 2026 through the end of calendar 2030. Several include fixed prices, price bands, floors, or ceilings — terms designed to keep pricing from swinging as violently as it has in past cycles. And according to Micron, even the floor prices in those agreements should support gross margins well above prior cycle peaks. 

That changes the conversation.

Memory has always been cyclical because supply and demand reset through spot pricing. When demand cooled, pricing collapsed. When pricing collapsed, earnings followed. That was the model.

These agreements do not eliminate cyclicality. They do not make Micron immune to downturns. And they do not mean every corner of the memory market will stay tight forever. But they do change the shape of the cycle. 

Instead of relying entirely on customers showing up in the open market, Micron now has customers committing years in advance to secure access to advanced memory. That gives the company more visibility, more pricing protection, and a much stronger hand than memory suppliers typically enjoy at this stage of a boom.

The old memory market was built around inventory swings. The new one is starting to look like a race for guaranteed supply.

Why HBM Is Becoming Strategic AI Supply

A modern AI chip can process enormous amounts of data. But it needs that data delivered fast enough. If the memory cannot keep up, the chip sits there waiting — and performance stalls. 

That is why high-bandwidth memory (HBM) has become one of the most important components in the AI stack.

HBM4 is the next step forward. It can hold more data, move that data faster, and do it more efficiently — exactly what large AI systems need. 

But the bigger tell is what customers are doing around it: locking up supply years before they need it. 

Hyperscalers cannot afford to build billion-dollar AI clusters only to realize they cannot get enough memory to run them efficiently. They cannot build their AI plans around the hope that enough memory will be available later. 

So they are doing what companies do when a resource becomes mission-critical: reserving it ahead of time.

That is a major behavioral shift. Memory is becoming a bottleneck customers feel they have to secure before the shortage gets worse. 

The AI Memory Bear Case Needs More Precision 

Samsung and SK Hynix are sending the same broad signal from the other side of the market .

South Korea recently unveiled a massive semiconductor push involving Samsung Electronics and SK Hynix, with plans for the companies and suppliers to invest roughly 800 trillion won — about $518 billion — in new chipmaking capacity, including new memory fabs.

The bear response: this is how memory busts start.

Demand booms. Producers expand capacity. Supply catches up. Prices crack. Stocks fall.

That argument deserves respect because memory history is full of exactly that pattern. But for the AI memory market taking shape now, it is too blunt. 

AI data centers use a very different kind of memory than phones, laptops, and consumer electronics. They need premium, high-performance parts built for massive chips, huge datasets, and dense server clusters.

If the industry produces too much ordinary memory for PCs, phones, and consumer devices, pricing pressure could still return in those markets. But the memory going into AI data centers is not interchangeable with ordinary consumer-device memory. A fab making commodity NAND does not become an HBM4 engine overnight.

So the bear case is not wrong. It just needs to be more precise.

The risk is not ‘more memory supply.’ The risk is the wrong kind of supply.

For investors, that means the old memory-bust playbook is too simple. The winners will likely be the companies selling the right kinds of memory, to the right customers, under the right agreements.

That is where the easy memory trade ends — and the stock-picking begins. 

How to Evaluate AI Memory Stocks Now

None of this means memory stocks have suddenly become risk-free. Memory will still have supply cycles, pricing swings, and inventory corrections. But it may change the shape of the cycle. 

The old memory market was built around spot pricing. The AI memory market is starting to revolve around long-term commitments and guaranteed supply. 

That gives investors a better question to ask. 

Which companies can turn AI memory demand into revenue and profits investors can actually count on?

Three things matter most.

The AI memory trade is now about finding the companies that can turn this demand into profits that last. 

Micron just gave investors a template for what that can look like.

The Bottom Line: AI Memory Is Becoming Strategic Supply

Bears are not wrong to remember history.

Memory has always been cyclical. Supply has always caught up. Pricing has always mattered. Every memory investor who ignores that history eventually pays for it.

But the AI memory market is beginning to behave differently.

Micron’s latest quarter showed explosive demand and something more important: customers willing to lock in supply years in advance because advanced memory has become mission-critical. 

For investors, that means the question has changed. Do not simply ask whether memory demand is strong. Ask which companies have the contracts, the product mix, and the customer commitments to turn that demand into visible earnings power.

The same logic also applies one layer deeper in the AI stack.

The energy, nuclear capacity, and physical fabrication infrastructure that makes persistent AI compute possible is already being locked up — not through public markets, but through private funds, government contracts, and bilateral agreements that most investors never see. By the time those positions surface in headlines, the early window has already closed.

Seven of them still have a publicly traded backdoor. That’s what I’ve spent months mapping.

Take a look at that research.

The post Micron’s 16 Contracts Reveal the Next AI Bottleneck appeared first on InvestorPlace.

In today’s essay, Louis explains why the current moment — the AI boom, the earnings surge, the abundance that still shocks foreign visitors — makes him as bullish as he’s ever been. He also points to a group of AI-related stocks he believes could surge 100% or more in the next six to 12 months.

From all of us at InvestorPlace, we hope you had a wonderful Fourth. Now, take it away, Louis…

In September 1989, Boris Yeltsin came to America.

At the time, he was a rising political figure inside the Soviet Union – a reformer who had begun to question the system he had spent his life serving. He would later become the first president of Russia.

The trip was part diplomacy, part public relations, part fact-finding mission. Yeltsin toured the country, met with officials, and saw the polished version of American power.

But the moment that stayed with him did not happen in Washington, D.C.

It happened in a grocery store in suburban Houston.

After visiting NASA’s Johnson Space Center, Yeltsin and his entourage made an unscheduled stop at a Randalls supermarket. The visit lasted only about 20 minutes, but it left a deep impression.

He saw the meat counter. The produce. The frozen foods. The endless shelves. The choices. The sheer abundance of ordinary American life.

This was no Potemkin village. It wasn’t a special store for party officials or a privileged elite. It wasn’t a dog-and-pony show for foreign visitors.

It was a supermarket where regular Americans bought their milk, bread, beef, and cereal.

One of Yeltsin’s aides later said that the last vestige of Bolshevism collapsed inside him after that visit.

And in hindsight, that grocery-store visit looks like one small scene in a much larger collapse.

Two months later, the Berlin Wall finally came down.

Not long after that, Mikhail Gorbachev resigned, and the Soviet hammer-and-sickle flag was lowered over the Kremlin for the last time.

The World Gets Another Look at America

For decades, some of the smartest people in the world believed the Soviet Union might catch America. Nobel Prize-winning economist Paul Samuelson even projected that the USSR could reach economic parity with the United States by the late 1980s or 1990s.

The experts had their models. All Yeltsin needed was the grocery store.

Fast forward to today, and something similar is happening.

With the World Cup bringing fans from all over the world to the United States, social media is filling up with videos of foreign visitors having their own “Yeltsin moments.”

Only this time, it’s European soccer fans walking into a Buc-ees and trying to wrap their heads around a gas station with 100 pumps, spotless bathrooms, barbecue sandwiches, and acres of snacks.

It is visitors wandering through Bass Pro Shops and realizing that what Americans call a “store” can include boats, aquariums, waterfalls, hunting gear, and enough outdoor equipment to outfit a small army.

It is people posting videos about Chick-fil-A sandwiches served by polite young workers. It is American suburbs filled with houses that look enormous compared to what many people are used to overseas.

Some of this is funny. Some of it is culture shock. But there is a serious point underneath it.

A lot of these visitors were sold a very different story about America. They were told this country is broken, angry, poor, dangerous, and falling apart. Then they get here, visit our restaurants, walk through our stores, drive through our suburbs, and see the truth with their own eyes.

America is not perfect. Far from it. We have plenty of things to fix.

But the story many people have been told about America is a lie. Sadly, a lot of Americans have bought it, too. They are told every day that their neighbors hate them, that the country is hopelessly divided, and that the American Dream is dead.

I don’t believe that for one second.

We are not as divided as the media makes us seem. And we are not as weak as our critics want us to believe.

The American Investor’s Advantage

America’s everyday abundance still shocks people who did not grow up with it because that abundance is not an accident. It is the result of a system that has spent 250 years rewarding risk-taking, competition, innovation, capital formation, and entrepreneurship.

That’s why I love this country. And it’s why I love being an American investor.

We do not just get to live inside this system. We get to own pieces of it.

The United States is home to roughly 4% of the world’s population, yet we account for more than 26% of global GDP. Even more impressive, America represents about 43% of the world’s total stock market value.

We have the deepest, most dynamic, and most valuable stock market on Earth.

Our companies are building the next generation of microchips, data centers, power systems, software, medical breakthroughs, defense technology, robotics, logistics networks, and financial platforms.

You don’t just get to watch the American growth machine from the sidelines, folks. You can own a stake in it.

And over the long span of U.S. history, that has been one of the smartest things you could do.

Yes, there have been scary periods: wars, recessions, inflation, bear markets, banking crises, terror attacks, and pandemics. Every generation gets its own reason to think the American growth story is finished.

But again and again, America adapts, recovers, and moves higher.

That is why, over the long run, you buy the dips in America. Period.

When the United States’ best companies get knocked down by fear, headlines, or temporary profit-taking, history says those moments can create some of the best buying opportunities you will ever see.

Don’t Let the Bears Fool You

Take the recent volatility in AI-related stocks, for example.

The usual bears were back on television. People like famed British investor Jeremy Grantham were claiming that this is “the most expensive market in history,” warning of a 70% collapse.

Which is just nonsense.

A lot of this negative commentary is emanating from Europe before our American media parrots it. And I don’t think that is a coincidence… especially when it comes to AI.

The reality is Europe has fallen behind in the AI race. The United States has not.

Some of the loudest critics sound less like objective analysts and more like people who are envious of America’s lead. So, instead of celebrating the boom, they complain about it.

But the numbers tell the real story.

The AI boom is not just hype. S&P 500 earnings for the first quarter of 2026 were up nearly 28% year-over-year. FactSet now estimates earnings will grow 23% in the second quarter – and 24% for the full year.

Analysts routinely underestimate earnings, so the real number will likely be even higher. That is stunning, folks.

And the AI buildout behind much of this boom is enormous. The four largest hyperscalers alone are expected to spend about $725 billion on AI infrastructure this year.

That is showing up in real orders, real backlogs and real revenue.

Vertiv Holding Co. (VRT), which provides power and cooling systems for data centers, reportedly has a backlog north of $15 billion. GE Vernova Inc.’s (GEV) gas turbine backlog reached 100 gigawatts in the first quarter. Oracle Corp. (ORCL) has remaining performance obligations of around $638 billion on its books.

By the time it’s all said and done,Goldman Sachs thinks total spending on AI will reach $7.6 trillion between 2026 and 2031.

That is why I continue to believe the best AI and data center infrastructure stocks are screaming buys on meaningful dips.

The center of this boom is not Europe. It is not China. It is not some command-and-control economy where everyday people aren’t allowed to participate.

It is America.

So, as we head into this Fourth of July weekend, I want you to enjoy America’s 250^th birthday celebration. Enjoy the fireworks. Enjoy the cookouts. Enjoy the fact that people from all over the world are coming here and seeing what too many Americans have forgotten.

The U.S. is an economic oasis. And the best way to celebrate America’s 250th birthday isn’t just to watch the fireworks. It’s to own a piece of what makes this country worth celebrating

Find the Next Wave of AI Winners

Right now, the AI boom is creating one of the biggest opportunities we are likely to see in our lifetimes. That is why I want to help you find the right AI stocks now.

I am not talking about the obvious names everyone already hears about on CNBC or sees in every AI-generated list. I am talking about the next wave of AI winners – the companies quietly supplying the chips, memory, cooling, power, storage, software, and infrastructure that make artificial intelligence possible.

That is exactly what my stock-selection system is designed to do.

For 47 years, I have studied the numbers that matter most: sales growth, earnings growth, analyst revisions, and institutional buying pressure. My system helps me track where the real money is moving before most investors have even heard the names.

In my latest special briefing, I reveal a group of AI-related stocks that I believe could be positioned to surge 100% or more over the next six to 12 months. I will also give you the ticker symbol of my No. 1 stock to buy now – free.

Go here to learn more now.

Sincerely,

Louis Navellier

Senior Analyst,

InvestorPlaceThe Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

GE Vernova Inc. (GEV) and Vertiv Holding Co. (VRT)

The post Why You Should Be Proud to Be an American Investor appeared first on InvestorPlace.

In the days following its IPO, Space Exploration Technologies Corp. (SPCX) surged 25%, rewarding early investors and turning its owner, Elon Musk, into a trillionaire. The following week the stock sank below $160, sending most investors into the red and forcing Musk back into the “lowly” hundreds-billionaire class.

SpaceX isn’t alone in its volatility. That same week, shares of Micron Technology Inc. (MU) gapped down 15% on a broader tech selloff before shooting straight back up on blowout earnings.

As InvestorPlace Senior Analyst Louis Navellier noted in a recent ÃÛÌÒ´«Ã½ 360 issue, the AI market has been all over the place lately.

Now, this sometimes happens during late-stage rallies. Traders know that certain stocks are overbought, so they sell out at the first sign of trouble. A tiny dip can trigger a panic.

But as I mentioned in last Sunday’s Digest, this volatility is also a byproduct of artificial intelligence. Millions of trading algorithms, advisors, and investors are increasingly relying on the same AI-powered tools. And it’s creating a new kind of “trading convergence” that causes people to jump in and out of stocks at the same time.

It can lead to massive losses of wealth when trades go wrong.

That’s why Louis rarely chases the crowd. Instead, he’s looking for signs that typically happen before AI systems catch wind, with the help of his system called Precursor Intelligence (P.I.). It helps him find companies with improving fundamentals and accelerating money flow before every AI tool jumps on board. You can click here to hear him talk more about it.

Last week, I showcased three of these top picks: Texas Instruments Inc. (TXN), Monolithic Power Systems Inc. (MPWR), and Oncology Institute Inc. (TOI).

This week, I’d like to add two more.

Stock to Buy #1: The AI Dark Horse

Over the past two months, shares of Alphabet Inc. (GOOGL) have lagged the broader AI market. Its top-rated Gemini model is now the fifth best, as graded by Artificial Analysis, an AI benchmarking firm. It will soon fall to sixth place when OpenAI’s latest GPT-5.6 version finishes its testing. Alphabet’s shares have slipped 10% since their mid-May peak.

Gemini (dark green) is starting to look rather average

Yet, Louis’ system believes this bearishness is overdone. The company earns an “A” grade for its “follow the money” score and has the receipts to back it up. The company is one of the fastest-growing companies in our universe of stocks, and it’s the only hyperscale AI data center firm expected to remain cashflow positive in every quarter this year.

I believe this assessment is right on several counts, which I outlined last month. Alphabet has a dominant search business, efficient data center chips, and momentum against OpenAI. Together, this suggests its fair stock value is somewhere in the mid-$400 range; it’s now trading around $355.

And a recent AI model launch by Chinese startup Z.ai only reinforces that conviction.

On June 13, Z.ai launched a large language model (LLM) called GLM-5.2, which Artificial Analysis determined is better than Alphabet’s two flagship models. And after test-riding the new LLM, I believe this is a surprisingly good development for Alphabet because the system is entirely open-source. Users can download GLM-5.2 for free, read through its source code, and take anything they like for their own use.

In other words, Alphabet can take the model for itself.

That should prove a windfall for the search giant, which was previously fighting two separate battles:

GLM-5.2 helps fight that first, since it’s good enough for daily use and surprisingly cheap to run. You don’t need a cutting-edge model to give directions to the nearest golf course… and you certainly don’t need one to set a 7 a.m. phone alarm. You only need something that’s dependable enough not to wake you up at 3 a.m. or send you to the wrong place.

That means Google can focus on that second arena, where it is already doing quite well. The company doubled the number of $100 million to $1 billion deals in its most recent quarter. And now that it can focus its efforts on high-end AI models, it will likely continue to pull ahead of rivals in the coming quarters.

And so, I continue to see further upside in Alphabet. Shares are already up 27% since I flagged them last November (even with the recent drawdown), and they still have more room to climb.

Stock to Buy #2: The Return of U.S. Drug Development

Last week, I wrote about the U.S. government suddenly becoming pro-pharma again.

In April, Health and Human Services (HHS) Secretary Robert F. Kennedy Jr. admitted to Congress that “China is now eating our lunch” in drug development and promised to make changes.

Since then, agencies overseen by RFK Jr. have made an almost 180-degree turn. In June, one group unanimously recommended its first vaccine of the current administration, and a separate one launched a project called Operation TrialBlazer to fast-track clinical research.

I recommended Oncology Institute Inc. (TOI) as a stock to buy.

This week, I’d like to add one more healthcare firm to this list:

Moderna Inc. (MRNA).

You will likely know Moderna for its development of the Covid-19 vaccine, a therapy that only took 10 weeks to develop and another 10 months to reach approval. You will also probably know that Moderna’s stock price fell over 94% between 2021 and 2025 after vaccine demand fell off and mRNA vaccines became a culture war lightning rod.

It hasn’t been easy for the drugmaker. In President Trump’s first year back in office, the HHS terminated Moderna’s pandemic bird-flu contract, stopped recommending Covid-19 shots for healthy children, cut $500 million in mRNA vaccine funding, and removed all 17 members of the Centers for Disease Control and Prevention (CDC) vaccine advisory committee. Moderna was forced to cut projects and funnel its remaining cash into fewer, higher-priority clinical trials.

But the drugmaker seems to be back. On June 18, Food and Drug Administration advisors backed Moderna’s mRNA flu vaccine, capping a 20% rally in the stock. At roughly the same time, MRNA moved from a “C” grade in Louis’ system to a “B” on unusually high smart money buying.

The fundamental story has only since improved. On June 25, the company gave exciting details at its annual Science Day that suggest far faster growth for its oncology drugs, known as “cancer vaccines.” These are programmable therapies that can be tailored to individuals or targeted more broadly at common cancer markers for off-the-shelf use.

The most promising of Moderna’s tailored drugs, known as intismeran autogene, is currently undergoing Phase 3 trials for treating skin cancer. Results will be published by the end of this year, and analysts expect over $3.5 billion in annual revenues by 2035. The same therapy is also being tested on kidney cancers, lung cancers, and more.

The company is also working on several off-the-shelf therapies that are showing early promise. At least one of these should become a blockbuster, according to analysts at Morningstar, and could lay the groundwork for “multiplex” therapies. This is where one drug seeks out multiple targets at once, increasing the likelihood of success.

Most importantly, Washington’s mood around drug development is changing. RFK Jr. himself has said that China “went from running 3% of clinical trials to running 30%” and that “we are losing scientists, we’re losing our IPs… and we’re going to lose our biosecurity.”

And if the federal government wants to flood the zone with money to develop more drugs, then Moderna is the most obvious candidate for it. Programmable mRNA vaccines are incredibly fast to develop, and this drugmaker has plenty in partial development that are ready to resume.

Walking Apart from the Crowd

You’ll notice that Alphabet and Moderna are not exactly the most popular names among retail investors. Google is often seen as too large to grow further, while the politicization of vaccines has turned a generation of investors off Moderna entirely.

Here’s why that matters: AI systems are exceptional at pricing what’s already in the numbers. They can “see” everything that’s happened in the past five-plus decades and often know precisely what investors are doing today. They’re also relatively good at extrapolating if the future looks anything like the past.

What AI does not do so well is predict changes. And the reality is that Alphabet and Moderna both run platforms that can adapt quickly. Alphabet can absorb a free, open-source model like GLM-5.2 and turn it into a dozen cheap consumer products overnight. Moderna’s programmable mRNA lets it point the same underlying technology at everything from the flu to skin cancer.

That’s the real opportunity in a market ruled by trading convergence. The more investors lean on the same tools that only see today’s data, the more they underprice the companies whose best chapters haven’t been written yet.

That’s exactly what Louis built Precursor Intelligence to do. He’s looking to pinpoint companies with strong fundamentals and accelerating money flow.

Louis just recorded a presentation walking investors through that system, and how it’s predicting a major rally in stocks beyond AI. So, if you’d like to get ahead of the next wave instead of getting swept up in it, I urge you to watch Louis’ free broadcast here.

All of us here at InvestorPlace wish you a happy Fourth of July.

Until next week,

Thomas Yeung, CFA

ÃÛÌÒ´«Ã½ Analyst, InvestorPlace

Thomas Yeung is a market analyst and portfolio manager of the Omnia Portfolio, the highest-tier subscription at InvestorPlace. He is the former editor of Tom Yeung’s Profit & Protection, a free e-letter about investing to profit in good times and protecting gains during the bad.

The post 2 More Stocks to Buy for the AI Convergence appeared first on InvestorPlace.

Both decks opened with a cream-colored slide, gussied up with orange accents and oversized italic serifs, bullet points, rectangular grids, and, most damning, a third slide with a centered line pointing to “Our Move.” You could swap the logos and the founders themselves might not have known which deck belonged to whom.

The New Yorker just chronicled this phenomenon, which is powered by Claude Design, Anthropic’s AI design tool. The more the tool spreads, the more design clichés spread with it. Clichés such as beige backgrounds and warm serifs, both blanketing the internet so thoroughly that designers now flinch at color palettes they used to love.

Here’s why I’m telling you this in an investing newsletter: Wall Street just did the exact same thing to AI stocks.

Over the past few weeks, the market grabbed every company with an AI story – from memory makers and chip designers to quantum pioneers and search giants – and sold them as one undifferentiated blob. The VanEck Semiconductor ETF (SMH) and iShares Semiconductor ETF (SOXX) each gave back double-digits from recent highs as money fled the whole complex at once, no questions asked.

Yet, underneath those cream-colored charts, these are wildly different businesses with wildly different fundamentals. While the market was busy selling AI stocks, the individual companies were busy reporting some of the strongest numbers of the entire AI Boom.

For example, Micron (MU) delivered an earnings blowout for the ages. And Qualcomm (QCOM) extended its growth runway to the end of the decade.

The gap between a market treating AI as a monolith and businesses diverging underneath it is where fortunes are made. We walked through five stocks in Being Exponential, each with its own distinct story, and why I’d be a buyer of this weakness in every one of them.

Let’s dig in.

Micron Just Smashed the Bear Case

Start with Micron stock, because MU’s earnings report puts to rest just about every fear the bears have been peddling.

Quarterly revenues of $41.46 billion, up 74% sequentially and 346% year-over-year. Adjusted earnings of $25.11 per share, beating consensus by $4.62. A record-high gross margin of 84.9%. And then guidance above expectations – roughly $50 billion in revenue next quarter, about $31 in earnings per share, and gross margins expanding again toward 86%.

At this stage of the game, everyone expects a beat-and-raise. Micron smashed-and-raised. Even the crowd that came in expecting fireworks walked away impressed. MU stock ripped about 15% in after-hours trading toward record highs.

Now, why does this matter beyond one stock? Because Micron is the high-beta tip of the spear on the entire AI trade. Memory is where the “peak capex” and “peak spending” fears were supposed to show up first. Instead, we got confirmation that demand is booming and margins are expanding. The wobble in AI stocks was fundamentally incongruent with reality.

Bottom line on Micron stock: I’d buy this breakout. Take a look at the full episode below for more:

Qualcomm’s Story Just Changed

Next up: Qualcomm, which delivered a guidance boost built on major new business wins.

The company now says its AI data center silicon revenue will exceed $15 billion by fiscal 2029, with $5 billion arriving by fiscal 2027, and total non-handset revenue reaching $40 billion by 2029. Those targets are way above Wall Street consensus, and they’re bullish for two reasons:

Cerebras: Read the Demand, Ignore the Noise

Then there’s Cerebras (CBRS), the recent IPO that reported earnings into the teeth of the selloff and got punished for it.

But separate the noise from the signal. Quarterly revenue came in around $192 million, up 93% year-over-year. Hardware revenue grew 60%. Cloud services revenue surged more than 160%. Management maintained its full-year revenue guide of roughly $860 million, or about 70% annual growth.

Those aren’t slowdown numbers, man. Yes, the IPO was richly valued. Yes, there are margin questions as the company invests aggressively. But think about the sequence here. Micron just confirmed the boom is raging. Qualcomm just confirmed visibility to 2029. If we’re that early in the cycle, aggressive investment is exactly what I want a young infrastructure company doing right now.

I’m less bullish here than on Micron or Qualcomm, but the post-earnings dip looks like opportunity, and I’m constructive on CBRS stock at current levels.

Washington Just Went All-In on Quantum

Meanwhile, the quantum computing breakout we flagged a few weeks back just got a booster rocket from Washington.

The White House signed executive orders to accelerate and broaden the U.S. government’s involvement in quantum computing – layered on top of a $2 billion investment spread across seven companies in the space. The signal is unmistakable: the federal government is throwing its full weight behind quantum development.

That’s rocket fuel for the whole sector – D-Wave Quantum (QBTS), Rigetti Computing (RGTI), the newly public names, all of them. But IonQ (IONQ) remains my favorite horse in this race. It’s the most commercially advanced player, it has the best leadership team in the industry, and its trapped-ion technology looks like the superior architecture for real-world commercial use.

AI selloff be damned… The micro fundamentals in quantum are outstanding.

Google: The Comeback Nobody Sees Coming

Finally, Alphabet (GOOGL), which is under pressure from the selloff, from talent departures to rival labs, and from a Gemini model that’s gone quiet in the frontier race while Claude and ChatGPT grab headlines.

But remember: this race is a marathon, and we’re in roughly the fourth mile of 26. Everyone wrote off OpenAI six months ago; it punched back into a leadership position. Everyone wrote off Google two years ago when chatbots were supposedly going to obsolete search; that never happened. Counting out a company with Google’s talent density and distribution in mile four is a mistake I’ve watched investors make over and over.

When Gemini takes its next big step forward – and it will – the market will rediscover this story fast. With GOOGL stock sitting at a compelling technical and fundamental level, I like the dip-buy here.

The Verdict

Across all five names, we’re seeing shares under pressure and fundamentals strengthening underneath. That gap paves the way for estimates to move higher, and higher estimates set the stage for stocks to surge. Just like 1962, the tape is panicking while the technology curve keeps bending upward.

So I’d be a buyer of weakness in the semiconductor complex, the AI complex, and the broader technology complex. The music is still playing, folks. This is noise. The long-term view remains intact.

Catch more AI stock breakdowns – plus the macro picture behind them – by subscribing to Being Exponential with Luke Lango.

P.S. Join Luke at this year’s Stansberry Conference & Alliance Meeting – where ideas move fast, conviction gets sharper, and the next big opportunities come into focus.

You’ll get live market updates, learn about top ideas and stock picks from Jonathan Rose and Luke Lango, and have the chance to meet some of your favorite editors – like Marc Chaikin, Whitney Tilson, Dr. David Eifrig, and Keith Kaplan.

Attendees will hear from bestselling authors and experts in economics, technology (including AI), and more. This year’s featured speaker lineup also includes famed actor Henry Winkler (aka “The Fonz” from Happy Days).

Expect two days packed with intriguing presentations and fun social events – all in luxurious Las Vegas. It pays to be in the room where it all happens.

Reserve your discounted ticket today before they sell out!

The post 5 AI Stocks Wall Street Is Selling That You Should Be Buying appeared first on InvestorPlace.

Happy Fourth of July!

Few stories capture the American entrepreneurial spirit better than Cornelius Vanderbilt’s in the early 1800s. This was at the very start of his career, before he became the railroad and shipping magnate we all know.

New York State had handed steamboat pioneer Robert Fulton and his heirs a monopoly on all steamboat traffic in state waters. No competition. No alternatives. Just Fulton’s boats, Fulton’s prices, Fulton’s rules.

Vanderbilt, at the time working for someone else, had other ideas.

He didn’t lobby the state or bribe politicians to help him change things. He simply kept running his ferry between New York and New Jersey and hoisted a flag on his ship — “New Jersey Must Be Free.” He undercut Fulton’s prices (charging $1 to Fulton’s $4) and essentially dared the authorities to stop him.

Credit: clu

The U.S. Supreme Court eventually ruled that New York’s monopoly was an unconstitutional stranglehold on interstate commerce. But by then, the monopoly was already broken as customers had increasingly cast their vote. Vanderbilt hadn’t waited for permission.

That attitude created one of the greatest wealth empires in American history. And, it’s the attitude you should still have while building your wealth and securing your financial freedom today.

And, frankly, there may not have ever been a better time to grow your wealth than right now.

A Quick Win in an AI Infrastructure Play

As you’re undoubtedly aware, the AI trade has dominated the markets since the debut of ChatGPT in November 2022.

Since then, we’ve seen some stocks skyrocket, such as Nvidia (NVDA), up more than 1,000%, and Advanced Micro Devices (AMD), up 657%, among others.

Many people are looking at their portfolio and simply can’t believe these good times can last. But investing legend Louis Navellier is confident we are still early in this bull market.

Earnings explain why.

Here is what he wrote to his Accelerated Profits subscribers earlier this week.

The current earnings environment is phenomenal, and earnings momentum will remain robust throughout 2026. FactSet currently expects the S&P 500 will achieve 27.7% average earnings growth in the first quarter – and then 19.9%, 23.2% and 20.7% average earnings growth in the second, third and fourth quarters, respectively.

For calendar year 2026, estimates call for 21%.

As you know, positive earnings surprises will likely drive these estimates even higher in the upcoming months. At the beginning of the first-quarter earnings season, analysts only expected the S&P 500 to achieve 13.1% average earnings growth. Given positive results and surprises, the S&P 500 has more than doubled this estimate.

So, again, earnings momentum is accelerating – and that means we need to remain invested in companies with stunning forecasted earnings and sales growth, positive analyst revisions and robust institutional buying pressure.

One of those companies is Seagate Technology Holdings (STX). STX develops AI-capable hard drives better than any other company.

The need for computer memory has not slowed. The training and deployment of AI models requires high-speed data, memory, and storage technologies – ideally, technologies that balance cost, performance, and scalability. That means most AI data ultimately ends up stored on hard drives, such as those developed by STX.

STX’s earnings reflect the demand for its product.

Here is how Louis summarized their outlook.

In its third quarter in fiscal year 2026, Seagate Technology reported revenue increased 44.1% year-over-year to $3.11 billion. Earnings soared 129.5% year-over-year to $934 million, or $4.10 per share.

The consensus estimate called for earnings of $3.50 per share on $2.96 billion in revenue, so Seagate Technology posted a 17.1% earnings surprise and a 5% revenue surprise.

Looking forward to the fourth quarter, Seagate Technology expects revenue of about $3.45 billion and earnings of about $5.00 per share. That represents 41.4% year-over-year revenue growth and 93.1% year-over-year earnings growth.

Thanks to the positive outlook, analysts have significantly increased fourth-quarter and full-year earnings estimates over the past month. Fourth-quarter earnings are now forecast to soar 95.4% year-over-year to $5.06 per share, and full-year 2026 earnings are expected to jump 83.7% year-over-year to $14.88 per share.

Since Louis’ recommendation, STX (in blue) has outpaced the S&P (in green) 10-to-1, and is still below Louis’ buy below price.

What Louis Worries About

Underneath all the earnings gains is a potential pitfall for investors.

Vanderbilt understood something that many investors forget: just because everyone believes something doesn’t make it true.

Everyone accepted Fulton’s monopoly as permanent, but Vanderbilt saw an opening that everyone else missed.

Today, millions of people now rely on the same Wall Street research… the same financial headlines… and increasingly, the same AI tools to tell them what to buy.

While that’s convenient, it also creates a danger.

If everyone is looking at the same information, everyone is likely reaching the same conclusions. Louis believes that’s exactly what’s beginning to happen.

In his view, AI isn’t replacing investors. It’s encouraging millions of investors to chase the same obvious opportunities at roughly the same time.

That’s why he believes the biggest advantage isn’t finding better headlines. It’s finding the signals that appear before the headlines.

That’s exactly what Louis explains in a new presentation he recently recorded.

He discusses why he believes the next phase of the AI boom may look very different from the first and why investors who simply follow AI-generated recommendations could eventually find themselves buying the same crowded stocks as everyone else.

More importantly, he explains the one signal he has relied on for more than four decades to identify opportunities before they turn into their biggest gains.

If you’re investing in AI – or simply wondering where the next great opportunities may come from – you should watch Louis’ presentation today.

You can access the presentation here.

Enjoy your weekend,

Luis Hernandez

Editor in Chief, InvestorPlace

The post The Fourth of July Investing Lesson Most People Miss appeared first on InvestorPlace.

This Fourth of July marks America’s 250th birthday. And for legendary investor Louis Navellier, it’s also a reminder of something investors sometimes overlook.

For nearly 50 years, Louis has watched America navigate recessions, wars, inflation, financial crises, and bear markets. Through it all, he’s reached the same conclusion: this remains the greatest wealth-creation machine in history.

In this Friday Digest takeover, he explains why that conviction is even stronger today, thanks in large part to America’s leadership in AI. Along the way, he shares a remarkable story from the final years of the Soviet Union – and why it still carries an important lesson for investors.

Louis also highlights the AI-related sectors he’s watching most closely and expands on them in a recent presentation, where he reveals the stocks he believes could become the next wave of AI winners. You can watch it right here.

Whether you’re celebrating America’s birthday with family, friends, or fireworks, Louis’ perspective is a fitting reminder of why owning great American businesses has been one of history’s best long-term investments.

I’ll let Louis take it from here.

Have a good evening,

Jeff Remsburg

In September 1989, Boris Yeltsin came to America.

At the time, he was a rising political figure inside the Soviet Union – a reformer who had begun to question the system he had spent his life serving. He would later become the first president of Russia.

The trip was part diplomacy, part public relations, part fact-finding mission. Yeltsin toured the country, met with officials, and saw the polished version of American power.

But the moment that stayed with him did not happen in Washington, D.C.

It happened in a grocery store in suburban Houston.

After visiting NASA’s Johnson Space Center, Yeltsin and his entourage made an unscheduled stop at a Randalls supermarket. The visit lasted only about 20 minutes, but it left a deep impression.

He saw the meat counter. The produce. The frozen foods. The endless shelves. The choices. The sheer abundance of ordinary American life.

source

This was no Potemkin village. It wasn’t a special store for party officials or a privileged elite. It wasn’t a dog-and-pony show for foreign visitors.

It was a supermarket where regular Americans bought their milk, bread, beef, and cereal.

One of Yeltsin’s aides later said that the last vestige of Bolshevism collapsed inside him after that visit.

And in hindsight, that grocery-store visit looks like one small scene in a much larger collapse.

Two months later, the Berlin Wall finally came down.

Not long after that, Mikhail Gorbachev resigned, and the Soviet hammer-and-sickle flag was lowered over the Kremlin for the last time.

The World Gets Another Look at America

For decades, some of the smartest people in the world believed the Soviet Union might catch America. Nobel Prize-winning economist Paul Samuelson even projected that the USSR could reach economic parity with the United States by the late 1980s or 1990s.

The experts had their models. All Yeltsin needed was the grocery store.

Fast forward to today, and something similar is happening.

With the World Cup bringing fans from all over the world to the United States, social media is filling up with videos of foreign visitors having their own “Yeltsin moments.”

Only this time, it’s European soccer fans walking into a Buc-ees and trying to wrap their heads around a gas station with 100 pumps, spotless bathrooms, barbecue sandwiches, and acres of snacks.

It is visitors wandering through Bass Pro Shops and realizing that what Americans call a “store” can include boats, aquariums, waterfalls, hunting gear, and enough outdoor equipment to outfit a small army.

It is people posting videos about Chick-fil-A sandwiches served by polite young workers. It is American suburbs filled with houses that look enormous compared to what many people are used to overseas.

Some of this is funny. Some of it is culture shock. But there is a serious point underneath it.

A lot of these visitors were sold a very different story about America. They were told this country is broken, angry, poor, dangerous, and falling apart. Then they get here, visit our restaurants, walk through our stores, drive through our suburbs, and see the truth with their own eyes.

America is not perfect. Far from it. We have plenty of things to fix.

But the story many people have been told about America is a lie. Sadly, a lot of Americans have bought it, too. They are told every day that their neighbors hate them, that the country is hopelessly divided, and that the American Dream is dead.

I don’t believe that for one second.

We are not as divided as the media makes us seem. And we are not as weak as our critics want us to believe.

The American Investor’s Advantage

America’s everyday abundance still shocks people who did not grow up with it because that abundance is not an accident. It is the result of a system that has spent 250 years rewarding risk-taking, competition, innovation, capital formation, and entrepreneurship.

That’s why I love this country. And it’s why I love being an American investor.

We do not just get to live inside this system. We get to own pieces of it.

The United States is home to roughly 4% of the world’s population, yet we account for more than 26% of global GDP. Even more impressive, America represents about 43% of the world’s total stock market value.

We have the deepest, most dynamic, and most valuable stock market on Earth.

Our companies are building the next generation of microchips, data centers, power systems, software, medical breakthroughs, defense technology, robotics, logistics networks, and financial platforms.

You don’t just get to watch the American growth machine from the sidelines, folks. You can own a stake in it.

And over the long span of U.S. history, that has been one of the smartest things you could do.

Yes, there have been scary periods: wars, recessions, inflation, bear markets, banking crises, terror attacks, and pandemics. Every generation gets its own reason to think the American growth story is finished.

But again and again, America adapts, recovers, and moves higher.

That is why, over the long run, you buy the dips in America. Period.

When the United States’ best companies get knocked down by fear, headlines, or temporary profit-taking, history says those moments can create some of the best buying opportunities you will ever see.

Don’t Let the Bears Fool You

Take the recent volatility in AI-related stocks, for example.

The usual bears were back on television. People like famed British investor Jeremy Grantham were claiming that this is “the most expensive market in history,” warning of a 70% collapse.

Which is just nonsense.

A lot of this negative commentary is emanating from Europe before our American media parrots it. And I don’t think that is a coincidence… especially when it comes to AI.

The reality is Europe has fallen behind in the AI race. The United States has not.

Some of the loudest critics sound less like objective analysts and more like people who are envious of America’s lead. So, instead of celebrating the boom, they complain about it.

But the numbers tell the real story.

The AI boom is not just hype. S&P 500 earnings for the first quarter of 2026 were up nearly 28% year-over-year. FactSet now estimates earnings will grow 23% in the second quarter – and 24% for the full year.

Analysts routinely underestimate earnings, so the real number will likely be even higher. That is stunning, folks.

And the AI buildout behind much of this boom is enormous. The four largest hyperscalers alone are expected to spend about $725 billion on AI infrastructure this year.

That is showing up in real orders, real backlogs and real revenue.

Vertiv Holdings Co. (VRT), which provides power and cooling systems for data centers, reportedly has a backlog north of $15 billion. GE Vernova Inc.’s (GEV) gas turbine backlog reached 100 gigawatts in the first quarter. Oracle Corp. (ORCL) has remaining performance obligations of around $638 billion on its books.

By the time it’s all said and done, Goldman Sachs thinks total spending on AI will reach $7.6 trillion between 2026 and 2031.

That is why I continue to believe the best AI and data center infrastructure stocks are screaming buys on meaningful dips.

The center of this boom is not Europe. It is not China. It is not some command-and-control economy where everyday people aren’t allowed to participate.

It is America.

So, as we head into this Fourth of July weekend, I want you to enjoy America’s 250^th birthday celebration. Enjoy the fireworks. Enjoy the cookouts. Enjoy the fact that people from all over the world are coming here and seeing what too many Americans have forgotten.

The U.S. is an economic oasis. And the best way to celebrate America’s 250th birthday isn’t just to watch the fireworks. It’s to own a piece of what makes this country worth celebrating

Find the Next Wave of AI Winners

Right now, the AI boom is creating one of the biggest opportunities we are likely to see in our lifetimes. That is why I want to help you find the right AI stocks now.

I am not talking about the obvious names everyone already hears about on CNBC or sees in every AI-generated list. I am talking about the next wave of AI winners – the companies quietly supplying the chips, memory, cooling, power, storage, software, and infrastructure that make artificial intelligence possible.

That is exactly what my stock-selection system is designed to do.

For 47 years, I have studied the numbers that matter most: sales growth, earnings growth, analyst revisions, and institutional buying pressure. My system helps me track where the real money is moving before most investors have even heard the names.

In my latest special briefing, I reveal a group of AI-related stocks that I believe could be positioned to surge 100% or more over the next six to 12 months. I will also give you the ticker symbol of my No. 1 stock to buy now – free.

Go here to learn more now.

Sincerely,

Louis Navellier

Senior Analyst, InvestorPlace

P.S. Louis has been finding market-beating stocks for nearly five decades, through bull markets, bear markets, and everything in between. If his track record tells us anything, it’s that the moments most investors spend worrying are often the moments worth buying. If you’d like to see which AI stocks Louis is most excited about right now — including his No. 1 pick, named free — his latest briefing is available here. Happy Fourth.

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:
GE Vernova Inc. (GEV) and Vertiv Holding Co. (VRT)

The post The Grocery Store That Brought Down the Soviet Union appeared first on InvestorPlace.

At the time, he was a rising political figure inside the Soviet Union – a reformer who had begun to question the system he had spent his life serving. He would later become the first president of Russia.

The trip was part diplomacy, part public relations, part fact-finding mission. Yeltsin toured the country, met with officials and saw the polished version of American power.

But the moment that stayed with him did not happen in Washington, D.C.

It happened in a grocery store in suburban Houston.

After visiting NASA’s Johnson Space Center, Yeltsin and his entourage made an unscheduled stop at a Randalls supermarket in the Houston suburb of Webster, Texas. The visit lasted only about 20 minutes, but it left a deep impression.

He saw the meat counter. The produce. The frozen foods. The endless shelves. The choices. The sheer abundance of ordinary American life.

Credit: Houston Chronicle

This was no Potemkin village. It wasn’t a special store for party officials or a privileged elite. It wasn’t a dog-and-pony show for foreign visitors.

It was a supermarket where regular Americans bought their milk, bread, beef, and cereal.

One of Yeltsin’s aides later said that the last vestige of Bolshevism collapsed inside him after that visit.

And in hindsight, that grocery-store visit looks like one small scene in a much larger collapse.

Two months later, the Berlin Wall finally came down.

Not long after that, Mikhail Gorbachev resigned, and the Soviet hammer-and-sickle flag was lowered over the Kremlin for the last time.

The World Gets Another Look at America

For decades, some of the smartest people in the world believed the Soviet Union might catch America. Nobel Prize-winning economist Paul Samuelson even projected that the USSR could reach economic parity with the United States by the late 1980s or 1990s.

The experts had their models. All Yeltsin needed was the grocery store.

Fast forward to today, and something similar is happening.

With the World Cup bringing fans from all over the world to the United States, social media is filling up with videos of foreign visitors having their own “Yeltsin moments.”

Only this time, it’s European soccer fans walking into a Buc-ees and trying to wrap their heads around a gas station with 100 pumps, spotless bathrooms, barbecue sandwiches, and acres of snacks.

It is visitors wandering through Bass Pro Shops and realizing that what Americans call a “store” can include boats, aquariums, waterfalls, hunting gear, and enough outdoor equipment to outfit a small army.

It is people posting videos about Chick-fil-A sandwiches served by polite young workers. It is American suburbs filled with houses that look enormous compared to what many people are used to overseas.

Some of this is funny. Some of it is culture shock. But there is a serious point underneath it.

A lot of these visitors were sold a very different story about America. They were told this country is broken, angry, poor, dangerous, and falling apart. Then they get here, visit our restaurants, walk through our stores, drive through our suburbs, and see the truth with their own eyes.

America is not perfect. Far from it. We have plenty of things to fix.

But the story many people have been told about America is a lie. Sadly, a lot of Americans have bought it, too. They are told every day that their neighbors hate them, that the country is hopelessly divided, and that the American Dream is dead.

I don’t believe that for one second.

We are not as divided as the media makes us seem. And we are not as weak as our critics want us to believe.

The American Investor’s Advantage

America’s everyday abundance still shocks people who did not grow up with it because that abundance is not an accident. It is the result of a system that has spent 250 years rewarding risk-taking, competition, innovation, capital formation, and entrepreneurship.

That’s why I love this country. And it’s why I love being an American investor.

We do not just get to live inside this system. We get to own pieces of it.

The United States is home to roughly 4% of the world’s population, yet we account for more than 26% of global GDP. Even more impressive, America represents about 43% of the world’s total stock market value.

We have the deepest, most dynamic, and most valuable stock market on Earth.

Our companies are building the next generation of microchips, data centers, power systems, software, medical breakthroughs, defense technology, robotics, logistics networks, and financial platforms.

You don’t just get to watch the American growth machine from the sidelines, folks. You can own a stake in it.

And over the long span of U.S. history, that has been one of the smartest things you could do.

Yes, there have been scary periods: wars, recessions, inflation, bear markets, banking crises, terror attacks, and pandemics. Every generation gets its own reason to think the American growth story is finished.

But again and again, America adapts, recovers, and moves higher.

That is why, over the long run, you buy the dips in America. Period.

When the United States’ best companies get knocked down by fear, headlines, or temporary profit-taking, history says those moments can create some of the best buying opportunities you will ever see.

Don’t Let the Bears Fool You

Take the recent volatility in AI-related stocks, for example.

The usual bears were back on television. People like famed British investor Jeremy Grantham were claiming that this is “the most expensive market in history,” warning of a 70% collapse.

Which is just nonsense.

A lot of this negative commentary is emanating from Europe before our American media parrots it. And I don’t think that is a coincidence… especially when it comes to AI.

The reality is Europe has fallen behind in the AI race. The United States has not.

Some of the loudest critics sound less like objective analysts and more like people who are envious of America’s lead. So, instead of celebrating the boom, they complain about it.

But the numbers tell the real story.

The AI boom is not just hype. S&P 500 earnings for the first quarter of 2026 were up nearly 28% year-over-year. FactSet now estimates earnings will grow 23% in the second quarter – and 24% for the full year.

Analysts routinely underestimate earnings, so the real number will likely be even higher. That is stunning, folks.

And the AI buildout behind much of this boom is enormous. The four largest hyperscalers alone are expected to spend about $725 billion on AI infrastructure this year.

That is showing up in real orders, real backlogs and real revenue.

Vertiv Holding Co. (VRT), which provides power and cooling systems for data centers, reportedly has a backlog north of $15 billion. GE Vernova Inc.’s (GEV) gas turbine backlog reached 100 gigawatts in the first quarter. Oracle Corp. (ORCL) has remaining performance obligations of around $638 billion on its books.

By the time it’s all said and done,Goldman Sachs thinks total spending on AI will reach $7.6 trillion between 2026 and 2031.

That is why I continue to believe the best AI and data center infrastructure stocks are screaming buys on meaningful dips.

The center of this boom is not Europe. It is not China. It is not some command-and-control economy where everyday people aren’t allowed to participate.

It is America.

So, as we head into this Fourth of July weekend, I want you to enjoy America’s 250th birthday celebration. Enjoy the fireworks. Enjoy the cookouts. Enjoy the fact that people from all over the world are coming here and seeing what too many Americans have forgotten.

The U.S. is an economic oasis. And the best way to celebrate America’s 250th birthday isn’t just to watch the fireworks. It’s to own a piece of what makes this country worth celebrating.

Find the Next Wave of AI Winners

Right now, the AI boom is creating one of the biggest opportunities we are likely to see in our lifetimes. That is why I want to help you find the right AI stocks now.

I am not talking about the obvious names everyone already hears about on CNBC or sees in every AI-generated list. I am talking about the next wave of AI winners – the companies quietly supplying the chips, memory, cooling, power, storage, software, and infrastructure that make artificial intelligence possible.

That is exactly what my stock-selection system is designed to do.

For 47 years, I have studied the numbers that matter most: sales growth, earnings growth, analyst revisions, and institutional buying pressure. My system helps me track where the real money is moving before most investors have even heard the names.

In my latest special briefing, I reveal a group of AI-related stocks that I believe could be positioned to surge 100% or more over the next six to 12 months. I will also give you the ticker symbol of my No. 1 stock to buy now – free.

Go here to learn more now.

Sincerely,

Louis Navellier

Editor, ÃÛÌÒ´«Ã½ 360

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

GE Vernova Inc. (GEV) and Vertiv Holding Co. (VRT)

The post Why You Should Be Proud to Be an American Investor appeared first on InvestorPlace.

Editor’s Note: This Fourth of July marks the 250th anniversary of the United States — and Louis Navellier thinks that’s worth celebrating as an investor, not just as an American. Louis has been in the markets for nearly 50 years. He’s watched this country navigate wars, recessions, inflation spikes, and bear markets. And he’s come to the same conclusion every time: America adapts, recovers, and moves higher.

In today’s essay, Louis explains why the current moment — the AI boom, the earnings surge, the abundance that still shocks foreign visitors — makes him as bullish as he’s ever been. He also points to a group of AI-related stocks he believes could surge 100% or more in the next six to 12 months.

From all of us at InvestorPlace, have a wonderful Fourth. Now, take it away, Louis…

In September 1989, Boris Yeltsin came to America.

At the time, he was a rising political figure inside the Soviet Union – a reformer who had begun to question the system he had spent his life serving. He would later become the first president of Russia.

The trip was part diplomacy, part public relations, part fact-finding mission. Yeltsin toured the country, met with officials, and saw the polished version of American power.

But the moment that stayed with him did not happen in Washington, D.C.

It happened in a grocery store in suburban Houston.

After visiting NASA’s Johnson Space Center, Yeltsin and his entourage made an unscheduled stop at a Randalls supermarket. The visit lasted only about 20 minutes, but it left a deep impression.

He saw the meat counter. The produce. The frozen foods. The endless shelves. The choices. The sheer abundance of ordinary American life.

This was no Potemkin village. It wasn’t a special store for a privileged elite or a dog-and-pony show for foreign visitors.

It was a supermarket where regular Americans bought their milk, bread, beef, and cereal.

One of Yeltsin’s aides later said that the last vestige of Bolshevism collapsed inside him after that visit.

And in hindsight, that grocery-store visit looks like one small scene in a much larger collapse.

Two months later, the Berlin Wall finally came down.

Not long after that, Mikhail Gorbachev resigned, and the Soviet hammer-and-sickle flag was lowered over the Kremlin for the last time.

World Cup Visitors Are Having Their Own Yeltsin Moments

For decades, some of the smartest people in the world believed the Soviet Union might catch America. Nobel Prize-winning economist Paul Samuelson even projected that the USSR could reach economic parity with the United States by the late 1980s or 1990s.

The experts had their models. All Yeltsin needed was the grocery store.

Fast forward to today, and something similar is happening.

With the World Cup bringing fans from all over the world to the United States, social media is filling up with videos of foreign visitors having their own “Yeltsin moments.”

Only this time, it’s European soccer fans walking into a Buc-ees and trying to wrap their heads around a gas station with 100 pumps, spotless bathrooms, barbecue sandwiches, and acres of snacks.

It is visitors wandering through Bass Pro Shops and realizing that what Americans call a “store” can include boats, aquariums, waterfalls, hunting gear, and enough outdoor equipment to outfit a small army.

It is people posting videos about Chick-fil-A sandwiches served by polite young workers and American suburbs filled with houses that look enormous compared to what many people are used to overseas.

Some of this is funny. Some of it is culture shock. But there is a serious point underneath it.

A lot of these visitors were sold a very different story about America. They were told this country is broken, angry, poor, dangerous, and falling apart. Then they get here, visit our restaurants, walk through our stores, drive through our suburbs, and see the truth with their own eyes.

America is not perfect. Far from it. We have plenty of things to fix.

But the story many people have been told about America is a lie. Sadly, a lot of Americans have bought it, too. They are told every day that their neighbors hate them, that the country is hopelessly divided, and that the American Dream is dead.

I don’t believe that for one second.

We are not as divided as the media makes us seem. And we are not as weak as our critics want us to believe.

The American Investor’s Advantage: Owning the Growth Machine

America’s everyday abundance still shocks people who did not grow up with it because that abundance is not an accident. It is the result of a system that has spent 250 years rewarding risk-taking, competition, innovation, capital formation, and entrepreneurship.

That’s why I love this country. And it’s why I love being an American investor.

We do not just get to live inside this system. We get to own pieces of it.

The United States is home to roughly 4% of the world’s population, yet we account for more than 26% of global GDP. Even more impressive, America represents about 43% of the world’s total stock market value.

We have the deepest, most dynamic, and most valuable stock market on Earth. 

Our companies are building the next generation of microchips, data centers, power systems, software, medical breakthroughs, defense technology, robotics, logistics networks, and financial platforms. 

You don’t just get to watch the American growth machine from the sidelines, folks. You can own a stake in it.

And over the long span of U.S. history, that has been one of the smartest things you could do.

Yes, there have been scary periods: wars, recessions, inflation, bear markets, banking crises, terror attacks, and pandemics. Every generation gets its own reason to think the American growth story is finished.

But again and again, America adapts, recovers, and moves higher.

That is why, over the long run, you buy the dips in America. Period.

When the United States’ best companies get knocked down by fear, headlines, or temporary profit-taking, history says those moments can create some of the best buying opportunities you will ever see.

Why the Bears Are Wrong About the AI Boom

Take the recent volatility in AI-related stocks, for example. 

The usual bears were back on television. People like famed British investor Jeremy Grantham were claiming that this is “the most expensive market in history,” warning of a 70% collapse.

Which is just nonsense. 

A lot of this negative commentary is emanating from Europe before our American media parrots it. And I don’t think that is a coincidence… especially when it comes to AI.

The reality is Europe has fallen behind in the AI race. The United States has not.

Some of the loudest critics sound less like objective analysts and more like people who are envious of America’s lead. So, instead of celebrating the boom, they complain about it.

AI Earnings Are Backing Up the Rally 

But the numbers tell the real story.

The AI boom is not just hype. S&P 500 earnings for the first quarter of 2026 were up nearly 28% year-over-year. FactSet now estimates earnings will grow 23% in the second quarter – and 24% for the full year.

Analysts routinely underestimate earnings, so the real number will likely be even higher. That is stunning, folks. 

And the AI buildout behind much of this boom is enormous. The four largest hyperscalers alone are expected to spend about $725 billion on AI infrastructure this year. 

That is showing up in real orders, real backlogs and real revenue. 

Vertiv Holding Co. (VRT), which provides power and cooling systems for data centers, reportedly has a backlog north of $15 billion. GE Vernova Inc.’s (GEV) gas turbine backlog reached 100 gigawatts in the first quarter. Oracle Corp. (ORCL) has remaining performance obligations of around $638 billion on its books. 

By the time it’s all said and done, Goldman Sachs thinks total spending on AI will reach $7.6 trillion between 2026 and 2031.

That is why I continue to believe the best AI and data center infrastructure stocks are screaming buys on meaningful dips.

The center of this boom is not Europe or China. It is not some command-and-control economy where everyday people aren’t allowed to participate.

It is America.

So, as we head into this Fourth of July weekend, I want you to enjoy America’s 250^th birthday celebration. Enjoy the fireworks and the cookouts. Enjoy the fact that people from all over the world are coming here and seeing what too many Americans have forgotten.

The U.S. is an economic oasis. And the best way to celebrate America’s 250th birthday isn’t just to watch the fireworks. It’s to own a piece of what makes this country worth celebrating

How to Find the Next Wave of AI Infrastructure Winners

Right now, the AI boom is creating one of the biggest opportunities we are likely to see in our lifetimes. That is why I want to help you find the right AI stocks now.

I am not talking about the obvious names everyone already hears about on CNBC or sees in every AI-generated list. I am talking about the next wave of AI winners – the companies quietly supplying the chips, memory, cooling, power, storage, software, and infrastructure that make artificial intelligence possible.

That is exactly what my stock-selection system is designed to do.

For 47 years, I have studied the numbers that matter most: sales growth, earnings growth, analyst revisions, and institutional buying pressure. My system helps me track where the real money is moving before most investors have even heard the names.

In my latest special briefing, I reveal a group of AI-related stocks that I believe could be positioned to surge 100% or more over the next six to 12 months. I will also give you the ticker symbol of my No. 1 stock to buy now – free. 

Go here to learn more now.

The post As America Turns 250, Here’s Why I’m More Bullish Than Ever appeared first on InvestorPlace.

Before we jump in today, a reminder that our InvestorPlace offices are closed tomorrow in honor of Independence Day.

If you need help from our Customer Service team, they’ll be happy to assist you when we reopen on Monday at 9 a.m. Eastern.

Have a good evening,

Jeff Remsburg

As I write on Thursday morning, the Labor Department just reported 57,000 jobs added in June – badly missing the 115,000 consensus and a sharp step down from May’s downwardly revised 129,000.

The unemployment rate did tick down to 4.2%. But that’s not really good news…

The drop came almost entirely from a falling labor-force participation rate, which slid to 61.5%, its lowest level since March 2021. So, we can translate this number as “fewer people looking for work” rather than “more people finding it.”

Now, plenty of talking heads are already taking a familiar posture – the soft jobs report takes pressure off the Fed, rate hikes get kicked further down the road, onward and upward for the market.

But there’s a wrinkle…

The man running the Fed has already told you, in his own words, that he’s not grading today’s number the way Wall Street is.

So, how is he grading it?

Yesterday, Federal Reserve Chairman Kevin Warsh gave us a preview of how he’s thinking

Speaking Wednesday at the ECB’s forum on central banking in Sintra, Portugal, Warsh once again declined to signal anything about this month’s meeting. But he didn’t stay quiet on inflation.

Here’s Warsh:

We’re all in the price stability business… but if there was a common thing I heard over the last couple of days, it was open-mindedness on these questions of AI, open-mindedness on productivity, but we’ve all looked around, and we’ve seen that prices are too high.

Translation: whatever AI is doing to boost productivity isn’t fixing the inflation problem yet.

That’s the lens Warsh brought into this morning’s number – not “did payrolls beat consensus?” but “does anything here change my inflation math?”

It’s unlikely the answer is “yes.”

One more detail from yesterday is worth noting, given this morning’s data…

In that same Sintra appearance, Warsh described the labor market as “steady.” Twenty-four hours later, payrolls missed by more than half, and a chunk of the workforce simply stopped looking for jobs altogether.

That’s either an inconvenient coincidence or an early sign of the exact disconnect we’re about to walk through…

You see, yesterday, Warsh also gave us a glimpse of where he wants the Fed’s whole approach to data to go – and when:

My hope, my aspiration, is that nine-12 months from now we’re going to be using new technologies to understand what’s happening in the real economy in a contemporaneous real time way.

That’s not a Fed chair who trusts the data he’s handed by default. It’s a Fed chair actively building his own alternative to it.

We flagged this shift three weeks ago

Regular Digest readers will remember our June 16 issue, where we laid out the case that Warsh is dismantling forward guidance itself – the dot plot, the press-conference roadmapping, the whole architecture Bernanke built and Powell expanded.

At his Senate confirmation hearing, Warsh to this plainly:

Unlike many of my colleagues, past and present, I don’t believe in forward guidance.

I don’t believe that I should be previewing for you what a future decision might be.

Our takeaway was that if the Fed stops telling you where it’s going, the incoming data becomes the new dot plot. Every economic report gets bigger. Every release becomes a larger event that can rattle markets.

Today’s jobs report was the first real-world test of that thesis. So, we should still be careful not to rush to interpret it.

Warsh already told us what’s wrong with this morning’s number – just not what should replace it

In our June 25 Digest, we showed you that Warsh doesn’t lean primarily on headline PCE – he’s called the Fed’s conventional inflation gauge little more than a “rough swag.”

Instead, he watches the Dallas Fed’s trimmed mean PCE, a measure that lops off the pricing outliers on either side to focus on what’s happening in the middle.

Warsh hasn’t given us a parallel substitute he prefers to the jobs report. But at his very first FOMC press conference as chair, on June 17, he made clear he has the same discomfort with it.

A reporter pressed him on how much weight he puts on the initial payroll print. Here’s Warsh:

What we’re less interested in is echoes of history.

Some of the data that we receive – that we’re waiting on the first Friday after the month of payroll index or something else – that might be an echo of history that’s quite useful on its third revision.

We need to take those error bounds down because we have to make hard decisions in real time.

Translating that out of Fed-speak, Warsh is saying the number that hits your screen the moment it’s released isn’t the real number. It’s a rough first draft that gets rewritten twice more over the following two months – and Warsh is telling you, directly, that he doesn’t fully trust the first draft.

Today’s data proved his point…

May’s already-strong 172,000 print got cut by another 43,000, down to 129,000. And April came down another 31,000, to 148,000.

That’s two more months of the “echo of history” Warsh is describing, rewriting itself in real time.

So, what’s a better way to read this morning’s data?

Warsh hasn’t told us what replaces the headline print. His task forces on data quality are still being staffed – he said as much yesterday at Sintra, promising more detail “next week.”

So, until the Fed builds something better, investors are left to build their own workaround.

Here’s ours: rather than reacting to any single month’s headline number, watch the three-month average payroll gain, calculated using the most recently revised figures rather than each month’s initial estimate.

To be clear, this isn’t Warsh’s framework. But it’s offered in the spirit of the problem he’s flagged.

So, what does this morning’s number look like after smoothing?

Averaging the three most recently revised prints – April’s 148,000, May’s 129,000, and June’s initial 57,000 – puts the trailing three-month pace at roughly 111,000 jobs a month.

To keep pace with population growth and keep the unemployment rate steady, the U.S. economy historically needs to add roughly 150,000 jobs per month.

So, this average is somewhat weak.

Plus, it represents a real cooling trend – and a confirmed one, since all three months just got revised in the same direction: down.

So, even though our three-month framework doesn’t let us treat today’s softer headline print, on its own, as significant enough to move Fed policy, three consecutive downward revisions point toward a real signal.

Is that enough for Warsh to ease up on his hawkishness?

A critical detail to keep in mind

Every new Fed chair gets the same treatment from the media…

Cameras find one face, and that face’s mood becomes shorthand for the whole institution’s mood.

It happened with Bernanke. It happened with Powell. It’s happening now with Warsh.

But Warsh doesn’t run the Fed the way the coverage sometimes implies. He’s chairman, but on the FOMC, his vote counts the same as everyone else’s.

And right now, that committee is deeply split – even if the vote itself doesn’t show it. At Warsh’s first meeting on June 17, the Fed held rates unanimously. But look past the vote to the dot plot underneath it, and the picture changes…

Nine of his 18 colleagues penciled in higher rates before year-end, six of those wanting two separate hikes, while eight favored holding steady and just one wanted a cut.

Warsh himself declined to submit a projection at all.

A unanimous vote with that kind of split sitting underneath it isn’t a consensus. It’s a committee that agreed to disagree quietly for one more meeting.

So, everything we’ve walked through so far – the “echo of history” comment, the discomfort with headline noise, the instinct to look past a single month’s print – tells you how Warsh is likely reading this jobs report. It doesn’t tell you how the rest of the committee reads it, divided as it is.

What this means for how you trade between now and the fall

We got a confirmation of our June 16 thesis this morning – just not a clean, one-directional one.

The initial reaction to the jobs print was textbook…

Futures ripped higher within minutes, yields fell, and traders recalculated their rate hikes expectations. But that snap judgment didn’t hold…

As I write around lunchtime, the early gains have disappeared – though the Dow is still up, the S&P has gone negative, and the Nasdaq is off almost 1%.

This is a market split on how to read a soft-but-revision-heavy print: does cooling labor demand ease the pressure that’s been keeping the Fed hawkish, or is it an early sign the economy itself is cracking?

And without a Warsh press conference to smooth that disagreement into a tidy consensus, this is what price discovery looks like instead – fast, messy, and uncertain.

But the bigger picture hasn’t changed…

Warsh isn’t going to move on one number – he needs a sustained trend. And even if he gets one, he’ll still need to bring along a committee that doesn’t fully agree with him.

Until both of those things happen, expect exactly what we’ve been suggesting is today’s new normal: bigger reactions to smaller pieces of data – and, apparently, uncertain reactions to those reactions.

It’s the logical consequence of a Fed that’s more divided, and less communicative, than it’s been in years.

We’ll keep tracking this as the story develops.

Have a good evening,

Jeff Remsburg

The post The Real Story Behind the Disappointing Jobs Report appeared first on InvestorPlace.

It can get very philosophical. But I’ll let you in on a secret: At the end of the day, the culprit is almost always the same…

Emotions are what’s driving our behavior.

That’s true today, and it was true in 100,000 B.C.

Imagine you and your hunter/gatherer tribe are out and about… moving to a place with more fresh water.

On your way, you see three dozen terrified members of your neighboring tribe running for their lives. It’s a human stampede.

Your instincts will tell you to run like the wind. Your instincts will say there’s a good reason three dozen people are running for their lives. It doesn’t matter if you can’t see a saber-toothed tiger or a rival tribe with spears… you just know it’s time to run.

This reason – survival – is the core reason why humans find comfort in crowds. It’s how we survived in the wild and became the dominant species on Earth. To this day, we know having your own crowd – your family, friends, and coworkers – leads to longer, better lives.

However, the desire to be part of a crowd can kill your stock portfolio.

We need look no further than how Wall Street responded in early April 2025, when President Trump unveiled his “Liberation Day” tariff plan.

The crowd panicked.

On Thursday, April 3, the Dow dropped 1,679 points. The S&P 500 sank 4.8%. The NASDAQ fell 6%. It was the worst day for the major indexes since the COVID-19 crash.

However, I repeatedly told investors to stand pat and wait out the storm; the market would bounce back. The reality is Wall Street is a manic crowd and it likes to “react” first and “think” later.

This proved to be the right call.

Just days later, President Trump announced a 90-day pause on most reciprocal tariffs. Stocks exploded higher. The S&P 500 jumped 9.5%, its best day since 2008. The NASDAQ surged 12%, its best day in 24 years. And the Dow jumped nearly 3,000 points.

By late June, the S&P 500 and NASDAQ were back at all-time highs.

Investors who sold in the panic missed one of the fastest rebounds in market history.

Going your own way can save it.

The reality is that the human brain is a marvelous tool for creating art, music, language, and engineering feats, but it’s a terrible tool for investing.

The more you know about the workings of your own mind, the “bugs” inside it, and how they work against our investment performance, the more you can develop strategies to mitigate the negative effects of those bugs.

In today’s ÃÛÌÒ´«Ã½ 360, I’ll explain Crowd-Seeking Bias, how it works and how you can neutralize its negative effects. Then, I’ll show you how my Precursor Intelligence system can help you sidestep costly investing mistakes… and zero in on stocks with the best chance of delivering market-beating gains.

The Problem With Crowd-Seeking

A lot of you are probably fans of momentum investing. The truth is, I am, too. You always want to capitalize on a trend, and trends are made up of people.

But while following the crowd CAN result in great momentum plays… you don’t want to do so blindly.

The crowd-seeking I’m talking about – follow the herd, think later – is responsible for a lot of failed investments. It means you won’t pick up on a shift in the trend. So, you’ll get your timing all wrong. You’ll often end up buying near the highs and selling near the lows.

With Crowd-Seeking Bias, even the best investing ideas can become a losing proposition.

The flip side is to be a contrarian. In other words, to buy the dip and sell the highs.

As I mentioned, though, it goes against our instincts. That’s why everyone isn’t Warren Buffett. But you can get his level of returns (or better) by checking your emotions at the door – and sticking with a pattern that works.

The premise is simple.

Look Off the Beaten Path…

There’s an easy way to resist our tendency for crowd-seeking, and it’s to look for buys where nobody else is looking.

It’s a lot easier to go your own way when nobody else is there to influence your decisions.

In other words, look for a company that gets little to no mainstream attention.

A company that doesn’t get fawning coverage on CNBC or on the internet.

But one that’s still growing like crazy – in terms of sales, operating margins, and especially earnings.

Whenever its stock experiences a sell-off… then that’s a great opportunity. And those fundamental factors are exactly what I’ve designed my P.I. system to detect.

But again, you only want the highest-quality companies.

Then you can shift the engine into reverse, too. When an investment starts to slip on these factors, it’s time to sell. (Especially when the crowd hasn’t caught on yet.)

In total, there’s 8 factors to look for. Apply them to fundamentally superior stocks, and that’s the basis for my Precursor Intelligence system.

Once you have these 8 precursors in mind, the results can be phenomenal. For example…

Take Sezzle Inc. (SEZL), for example.

Most investors had never heard of it.

It’s a small buy-now-pay-later credit company. It wasn’t being covered by CNBC. It wasn’t one of the same crowded AI names everyone was chasing. And it certainly wasn’t the kind of stock most retail investors were talking about.

But in early September 2024, my P.I. system identified a major shift in the stock’s ownership structure.

The “elephants” were moving in.

In other words, large institutional investors were quietly accumulating shares before the crowd caught on.

So, after doing my own vetting, I recommended Sezzle to my members.

In less than a year, they had the chance to capture a 555% gain.

That’s the power of going where the smart money is moving before the crowd gets there.

Precursor Intelligence Presentation Now Available

Operating margins, sales metrics, earnings projections…it all sounds pretty boring, I know. That’s exactly the point.

These factors don’t activate your feelings. They do activate something much more important: the system behind Precursor Intelligence.

Not a lot of people take the time to assess stocks this way – much less all 8 factors. So, it’s a great way to beat the Crowd-Seeking Bias we discussed today…and end up with better gains in half the time.

If you want to learn more, go here for the Precursor Intelligence recording and transcript. Besides the glimpse at my system, I even reveal my No.1 stock pick. Click here for details.

Sincerely,

Louis Navellier

Editor, ÃÛÌÒ´«Ã½ 360

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

Sezzle Inc. (SEZL)

The post How to Beat Wall Street’s Manic Crowd appeared first on InvestorPlace.

We wish you all a Happy Fourth of July here from InvestorPlace.

Tom Yeung here with today’s Smart Money.

I used to look forward to upgrading my smartphone.

Every new model felt revolutionary. The iPhone 3… iPhone 6… iPhone 8… every new generation was miles ahead of the one before.

Then something changed.

By the late 2010s, smartphones had become “good enough.” (I now use a Google Pixel with a version number I don’t know.)

Most people stopped upgrading every two years because the improvements simply weren’t worth it. That shift reshaped the entire industry.

Former smartphone giants like HTC, BlackBerry, and Nokia were soon replaced by low-cost manufacturers. Meanwhile, Apple Inc. (AAPL) kept winning – not because it always had the best hardware, but because it owned the ecosystem.

AI may be reaching a similar turning point.

The biggest winners of the next phase may not be the companies building the fastest chips or the largest AI models. Instead, they may be the companies building products people rely on every day.

And a little-known Chinese startup may have just given us the clearest sign yet.

Let’s take a look…

A Free AI That’s Almost as Good

Last month, Chinese startup Z.ai released GLM 5.2, an open-source AI model that ranks among the world’s best.

Unlike models from OpenAI, Anthropic, or Google, GLM 5.2 is completely free. Anyone can download it, modify it, and even use it commercially.

Even more impressive, it’s good enough to run complicated tasks. I’ve taken the model for a test-drive, and can say it’s almost on par with America’s leading AI systems.

And Z.ai isn’t alone.

It’s one of China’s “Six AI Tigers,” a group of startups just months behind the best U.S. companies. They’re giving away capable models and monetizing cloud computing instead.

In other words, cheap, “good enough” AI is arriving much sooner than many investors expected.

Today’s fourth-best AI model can already perform many real-world business tasks, and it doesn’t require Nvidia’s newest chips to do it. Instead, it runs well on the last generation’s hardware that is available to Chinese firms.

That makes AI a lot like smartphones. When technology becomes good enough, buyers become less willing to pay premium prices for cutting-edge hardware unless you own the whole ecosystem like Apple.

In fact, this has happened with almost every new technology. TVs… digital cameras… PCs… solar panels… When “good enough” versions start showing up, price becomes more important than owning the latest model.

This doesn’t mean AI is slowing down, but it does mean that the companies capturing the biggest profits will change.

Why This Changes the Investment Story

Rather than flowing primarily to hardware makers, more value could shift toward businesses that build indispensable AI-powered products, software, and ecosystems.

That’s why Eric has been cautious about chasing the hottest semiconductor stocks after their enormous gains. No one wants to be caught holding the next Blackberry.

Instead, he continues focusing on what we call AI Appliers: the companies using AI to create products customers can’t easily replace.

Several months ago, Eric and I warned that parts of the AI market were becoming overheated. Just as smartphones evolved from breakthrough hardware into everyday commodities, AI may be entering its own “iPhone Moment.”

If that’s the case, the biggest investment opportunity won’t necessarily be building better AI. It will be owning the companies that put increasingly cheap, increasingly capable AI to work.

You can learn more about Eric’s recommended AI Applier companies at Fry’s Investment Report.

Simply click here to learn more.

Until next time,

Thomas Yeung, CFA

ÃÛÌÒ´«Ã½ Analyst, InvestorPlace

The post Why AI Becoming “Good Enough” Changes Everything for Investors appeared first on InvestorPlace.

When the first American railroads began reporting revenue in the 1840s, the critics who had called the whole enterprise an overbuilt fantasy found themselves with less and less to say.

Something similar is happening in AI right now.

Exponential View just published the most comprehensive accounting of the AI economy we’ve yet seen — its State of the AI Economy 2026 report — with real revenue, utilization, and capex payback math. 

The numbers don’t leave much room for the bear narrative.

The Revenue Bears Have Run Out of Excuses — $175 Billion Says So 

Exponential View’s report estimates the global ex-China Generative AI (GenAI) economy is producing $175 billion in annualized revenue. And before anyone accuses Exponential View of creative accounting — this figure excludes chips, AI ad uplift, legacy software “AI features,” and financing.

In other words, it is only reflecting real customer demand.

Now, $175 billion in run-rate revenue sounds massive — and it is. But let’s contextualize that number. 

One hundred seventy-five billion dollars represents just 0.5% of total U.S. GDP. The broader ‘digital economy’ sector makes up about 10% of GDP. Total U.S. corporate profits — which surged to a record $4.426 trillion in Q1 of 2026 — are 25x larger than the entire GenAI revenue pool. AI revenue is enormous in absolute terms and almost minuscule in relative terms.

Therein lies the opportunity…

Because here’s the thing those relative numbers don’t capture: speed. AI revenue relative to GDP is already up 10x from Q1 2024. GenAI is scaling 3x faster than prior IT waves — faster than the internet and mobile booms. In 2023, the AI economy needed 180 days to add $1 billion of cumulative revenue. Today it needs less than two days. That is a 90x acceleration in the speed of revenue generation. Recent quarter-over-quarter growth is running ~35%, which annualizes to more than 3x.

This is the setup every long-term investor dreams about. Big enough to validate the thesis. Small enough that the runway is virtually unlimited. The penetration curve is in the very earliest innings of a generational platform shift — and the data proves it.

The CapEx Math Is Actually Working

According to the bears, while the hyperscalers are spending a combined ~$2 trillion cumulatively through 2026 on AI infrastructure — the largest technology buildout in history — there’s no possible way the economics ever pencil out. It’s a capex bubble about to burst.

Except… the math is starting to work.

The AI economy is now generating enough revenue to cover depreciation: the ongoing cost of using up the infrastructure built to run it. Not with room to spare, but the gap has closed, and the direction is positive.

For every dollar of AI infrastructure that depreciates, roughly $1.19 in hyperscaler and neocloud revenue is coming in to cover it — and $1.32 when you count the full GenAI economy. A year ago, that ratio was below 1. Now it’s above it.

This is still a race, of course. But the critics who insisted AI would never generate sufficient revenue to justify the buildout are already being proven wrong. And we are still in the early stages of the utilization ramp.

The Jevons Paradox: Why Falling Token Prices Are Bullish for AI

One of the more sophisticated bear arguments has to do with token cost. Some believe that as token prices continue to collapse — with blended pricing falling from ~$17 per million tokens to ~$2 —AI companies are destroying the economics of the industry.

‘Margins are going to zero. The boom is over.’

But that argument confuses price with value — and ignores how technology adoption actually works. 

For technologies with elastic demand, falling prices create value; cheaper tokens = more use cases.

Better models expand what AI can actually do. Reasoning models consume more tokens as they think through complex problems. So the very thing bears are pointing to as a headwind — price compression — is actually the accelerant for the next leg of volume growth.

More apps, more agents, more inference, more memory, more networking, more storage, more power, more cooling, more data centers… 

The Jevons paradox — the observation that efficiency improvements in resource use lead to increased total consumption — is playing out in real time across the AI infrastructure stack.

Bears are worried about price compression. Bulls are focused on volume elasticity. The data says volume wins.

Why AI Feels Slower Than It Is — and Why That’s Exactly What the Data Predicts

Here is one nuance worth understanding, because it explains why AI’s impact can feel underwhelming in GDP statistics even as it is very real inside companies.

Seven in 10 GenAI claims from companies in the S&P 500 focus on cost savings, time savings, throughput, or quality improvement. Explicit revenue gains are only ~6% of claims. The first killer enterprise AI app is not “create a magical new business line.” It’s “do the same work faster, cheaper, better.”

This is actually the normal pattern for platform shifts. The efficiency wave always comes first. Productivity gains show up in margins and labor leverage before they show up in GDP or revenue. The internet’s first decade was dominated by cost reduction and efficiency. Revenue came later — and when it came, it was enormous.

AI is following the same script. Efficiency now. Revenue later. And if the efficiency wave alone is already generating $175 billion in run-rate demand, imagine what happens when the revenue wave hits.

What the Revenue Inflection Means for AI Infrastructure Stocks Right Now

The macro data on AI has never been more bullish. The micro data — real company revenues, utilization trends, and capex payback — is inflecting positively. And yet AI stocks have been choppy, volatile, and in some cases well off their highs.

That combination — improving fundamentals, weak stock prices — is the definition of a buying opportunity.

The names best positioned to benefit from this data are across the full AI Builder stack, detailed most recently here:

• Chips and semiconductors
• Memory
• Networking and optics
• Servers and infrastructure
• Power and cooling

The Bottom Line: The Direction Changed

For the past two years, the race between AI capex and AI revenue has been the central question of this trade. This quarter, for the first time, the revenue side pulled ahead.

That doesn’t mean the race is over. The capex curve will keep rising. But the direction has changed — and in markets, direction matters more than destination.

The AI trade is alive, the fundamentals are inflecting, and the market is handing you a discount on one of the most compelling long-term growth stories in history.

That doesn’t happen often. Act accordingly.

Here’s one way to do that.

The infrastructure data in this piece tells you the AI buildout is real and accelerating. What it doesn’t tell you is where the most sophisticated private capital has already been positioning — months before this quarter’s numbers made the bull case undeniable.

Peter Thiel’s answer? A wholesale exit from public markets and a move into the physical substrate of the AI economy — the hard assets that get paid regardless of which model, which hyperscaler, or which application layer ultimately wins.

Most of those positions aren’t available to retail investors. Seven of them have a publicly traded equivalent.

Here’s what that portfolio looks like — and the thesis behind every position.

The post The AI Capex Bear Case Just Lost Its Best Argument appeared first on InvestorPlace.

Last week, Jeremy Grantham, British investor, billionaire, and GMO co-founder, went full bear:

This is the most expensive market in American history…

My guess is sometime between two weeks ago, two weeks from now, two months, two quarters and conceivably two years – the timing is always terribly uncertain – the market’s going to peak out and drop back to trend.

And getting back to trend from here is closer to a 70% decline than a 50% decline

Do you find this helpful?

At some point… between two weeks ago and two years from now… we’ll have a huge crash.

No disrespect to Grantham – he’s a legendary investor – but, to me, this comment is useless. Worse, it can be financially damaging.

On January 24, 2023, Grantham released his official 2023 outlook letter titled “After a Timeout, Back to the Meat Grinder!” where he warned of a potential 50% crash.

Then in April of 2023, he told the We Study Billionaires podcast that the modern “superbubble” was on the verge of popping.

And in July of 2023, he put a 70% probability on a crash matching the patterns of 1929, 2000, and 2021.

Not only has no such crash occurred since Grantham’s first January 2023 call, but stocks have surged since then. The Nasdaq 100 is up more than 150%.

If you’d sat out of stocks based on Grantham’s call, you’d have missed your account more than doubling. That’s not a rounding error – that’s a potential multi-year retirement delay.

The reality is that we will eventually have a market crash. But I don’t think it’ll be tomorrow, next month, or even this year. And today, I want to highlight one major reason why.

To be clear, I’m not saying the next 6-12 months will be smooth, or even that we won’t suffer a 10%-15% haircut somewhere along the way. But I believe “the crash” remains farther out on the horizon, which means one thing…

It’s still time to be invested and make money before the eventual pain arrives.

A magazine cover, a stock chart, and a lesson about tops

Older investors like me will recall 1991 when the U.S. economy was clawing its way out of a recession.

Auto sales had collapsed to a level that would mark the low point for the next 16 years. Investors were bearish on Detroit, and they had reason to be – TIME even ran a cover story that November asking a blunt question: “Can GM survive in today’s world?”

Thirteen months later, the mood had entirely flipped…

The economy was strengthening, auto sales had bounced back, and TIME ran a new cover featuring the CEOs of the Big Three automakers. But this one wasn’t despairing. It was triumphant: “The Big Three – How Detroit is shifting into high gear.”

Same company, same industry, 13 months apart.

So, which would have been the better time to buy GM stock? At the point of despair or the point of hope?

In November 1992, during the “despair” cover, GM shares traded around $28.

By December 1993, during the “hope” cover, they’d climbed to just above $55, nearly doubling.

And then, just 12 months after that triumphant cover ran, GM shares had fallen by about a third, back to $35.

Despair preceded the gains. Hope preceded the losses.

This teaches us a critical lesson about investment peaks and valleys that we’d be wise to remember today…

Whether on a stock-specific basis or across broad markets, “tops” tend to form when investors are wildly confident, bullish, and greedy, while bottoms are typically carved out when investors are despairing and hopeless.

Alan Greenspan coined the phrase “irrational exuberance” to describe exactly this dynamic during the dot-com run-up. And Newsweek‘s famous 1999 cover capturing that era’s FOMO ran just months before the Nasdaq collapsed.

So, here’s the question…

Does this market feel irrationally exuberant?

The sentiment data tells a different story than the headlines

If euphoria and rabid FOMO are the preconditions for a top, today’s numbers don’t support the “we’re there” thesis nearly as cleanly as Grantham’s bubble framing suggests.

Yes, some pockets of the market are experiencing FOMO, but as we’ll get to, it’s somewhat justified by earnings. More on that shortly…

First, zeroing in on sentiment, let’s start with retail investors…

The latest American Association of Individual Investors Sentiment Survey from last week shows bullish sentiment at 44.9%. That’s above the historical average of 37.5%, so it’s not nothing. But it’s well below the 60% to 70%-plus readings that marked the actual dot-com peak.

Retail investors look more like accumulators than blind speculators right now – surveys on AI-focused investors show the overwhelming majority plan to hold or add to positions, with only a small minority looking to reduce exposure.

Now look at wealthier investors…

A recent Janus Henderson survey of affluent and high-net-worth investors found that 67% are actively worried about an AI bubble bursting within the next 12 months.

That’s not complacency or “YOLO” risk-taking. That’s a market grinding higher while two-thirds of its most sophisticated participants are looking over their shoulder.

Finally, on the institutional side, Bank of America’s Global Fund Manager Survey shows funds remain structurally long tech, but positioning has eased meaningfully. Managers are taking profits on the most extended hardware names and rotating into broader equities rather than doubling down.

Put it together, and you get a market climbing the proverbial “wall of worry” – high conviction paired with persistent, widespread caution.

That combination has historically been a feature of ongoing bull markets, not a signature of imminent tops.

A true top tends to require something close to universal agreement that prices can only go up – recall Barstool Sports founder Dave Portnoy during the 2020 day-trading craze saying, “Stocks only go up” and “only losers take profits.”

Are you seeing that sentiment today?

I see the opposite: widespread, well-documented anxiety sitting underneath continued buying.

Still, caution remains critical

The lack of rabid FOMO is not an invitation to go all-in.

Grantham’s framing deserves real respect, and there’s at least one place where the data is flashing something worth watching closely.

Here’s our hypergrowth expert Luke Lango, editor of Innovation Investor, on what he’s calling an IPO Spike Warning:

The Bloomberg data showing Q2 2026 IPO value tracking toward $400 billion — roughly double the recent quarterly average — is a pattern worth monitoring precisely because it has occurred near inflection points in prior cycles.

We are not making a market crash call. The specific circumstances of each prior spike were different, and the AI infrastructure fundamentals today are categorically stronger than the earnings realities of the Dot Com era, the leverage realities of the GFC era, or the inflation shock of 2021.

But historical patterns that have repeated across multiple distinct market cycles deserve respect, and the intellectually honest posture is to acknowledge this one while maintaining our constructive stance on AI infrastructure. 

Luke recommends investors be thoughtful about position sizing, maintain dry powder for potential outsized pullbacks, and stay focused on the highest-quality, most defensible names in the AI infrastructure trade rather than speculating.

But with those defensive measures in place, he concludes:

The Summer of AI is intact. We are watching the IPO spike carefully. Both things can be true.

That posture feels right to me.

IPO mania does reflect some exaggerated FOMO, and it has shown up near inflection points before – not as a guaranteed crash signal, but as a pattern that deserves respect. However, this FOMO centers on just a handful of stocks going public.

“But Jeff, you’re missing the FOMO and greed in corners of AI like the memory trade.”

Great point! The memory/semiconductor trade is very crowded today. And I’d be surprised if we don’t see some double-digit profit-taking over the coming weeks. In fact, we’re seeing some today as I write. It could result in a longer stretch of underperformance.

But profit-taking is not the same as crashing. And there’s a big reason there will likely be loads of buyers after a bout of profit-taking…

Earnings.

Does today’s earnings backdrop support the bubble-bursting narrative?

Memory is a hot trade today – but it’s for a reason.

A week ago today, memory giant Micron (MU) told investors to expect roughly $50 billion in revenue next quarter. Analysts had penciled in $43.6 billion. That’s not a beat – that’s a different zip code.

Micron’s blowout outlook is a microcosm of a broader AI supercycle that has the entire chip sector firing on all cylinders. According to research from International Data Corporation (IDC), total global semiconductor revenues are projected to surge 52.8% to hit a historic $1.29 trillion in 2026.

Here’s more from IDC:

The memory segment is at the epicenter of this shift: DRAM revenues alone are projected to nearly triple in 2026 to $418.6 billion, driven by demand for high-bandwidth memory (HBM) and DDR from hyperscalers and AI infrastructure providers. 

But this earnings strength isn’t limited to just memory chips. It’s wider…

In last Thursday’s Digest, I highlighted a chart from Alpine Macro showing how today’s tech boom has something the dot-com era didn’t have…

Real earnings growth, not just multiple expansion.

From last Thursday’s Digest:

In the dot-com boom, P/E ratios went to the moon while profits barely budged. Today, earnings per share are compounding while multiples have stayed relatively flat.

That’s a structurally different – and arguably more durable – setup.

Better still, we can also look one layer up from tech to the wider S&P…

Wells Fargo expects headline S&P 500 earnings growth to surge to 22% growth year-over-year during Q2.

Meanwhile, FactSet’s forward-earnings data shows similarly robust expectations baked into current estimates – meaning today’s elevated valuations are, at least partly, being met by real, growing profits rather than pure multiple expansion.

Don’t misunderstand me – this market is not cheap. But these robust earnings take pressure off the “nosebleed valuation” argument, which – along with the lack of frothing-at-the-mouth FOMO – suggests disaster isn’t directly at our door.

Closing the loop on the memory trade and FOMO, yes, there’s some FOMO in memory today – but it’s chasing a massive number that just printed, not a fantasy number that people hope will print.

Coming full circle

If you had to put a magazine cover on today’s market, would it be the jubilant “shifting into high gear” version? Or the despondent “can it survive?” version?

For me, it’s neither. It’s something far less marketable – perhaps:

“Investors Aren’t Sure, and the Data Backs Them Up.”

Of course, magazines with that cover don’t sell well. But that’s usually a good sign for investors like you and me.

Most likely, we’re somewhere in the messy middle, though skewing toward the top. The evidence still supports parts of both the bullish and bearish cases. And that’s important because true market peaks usually leave very little room for debate.

Bottom line: Watch the IPO data… track the earnings… respect Grantham’s warnings…

But analyze whether you’re really seeing rabid FOMO today – and if you’re not, consider what that means for whether we’ve truly arrived at the peak.

We’ll keep tracking this as the data develops.

Have a good evening,

Jeff Remsburg

The post Grantham’s 70% Crash Call Has a Problem appeared first on InvestorPlace.

As the business author Peter Drucker observed, “The only thing we know about the future is that it will be different.”

I like to keep this in mind each January when I send out my annual Fry’s Investment Report “Forecast Issue.”

The saying continues to ring true as we hit the start of the third quarter and the back half of 2026… and especially as we take a look back at all that has proved “different.”

Political tensions in the Middle East have escalated into an ongoing war involving the U.S. and Israel with Iran. It’s led to dramatic fluctuations in oil prices, with the International Energy Agency (IEA) reporting a loss of roughly 1 billion barrels in the oil market.

Other events may have been on your bingo card, like artificial intelligence continuing to dominate the market, knocking software stocks off their feet.

Now that we’re halfway through the year, I want to focus this Smart Money on how three of my forecasts are holding up.

Some may surprise you, and some are still opportunities to join before the year ends – and I’ll guide you step-by-step on how to get started.

Forecast No. 1: The Magnificent Seven Stocks Will Lose Ground

The cost of creating competitive AI infrastructure is massive and rising, while the ultimate payoff is becoming less certain and immediate.

These dynamics do not directly threaten the hyperscale companies themselves – including Mag 7 members Alphabet Inc. (GOOGL), Amazon.com Inc. (AMZN), Apple Inc. (AAPL), Microsoft Corp. (MSFT), and Meta Platforms Inc. (META), and Nvidia Corp. (NVDA) –but they do threaten their lofty valuations.

I expected investors to start asking harder questions, like “Where does incremental free cash flow come from and when will it arrive?” or “What happens when everyone has spiffy new data centers and AI models, but no one has pricing power?”

These now seem to be on their minds.

Just yesterday, CNBC reported that $2.3 trillion has been slashed from the Mag 7’s value. And though the group peaked mid-May, the Roundhill Magnificent Seven ETF (MAGS), which tracks the septet, is now almost flat since the beginning of the year.

Wall Street is increasingly recognizing AI as a “cost center” rather than a powerful growth driver – and that could continue as Big Tech’s AI expenditure is expected to surge 70%, surpassing $700 billion this year.

To be sure, the Mag 7 companies remain dominant, but their valuations amply reflect that dominance. And with that seeming to fade, the next question is: Where does the capital go?

The answer is copper.

This brings me to my next prediction…

Forecast No. 2: The Copper Price Tops $7.50

Here’s what I told my Fry’s Investment Report readers about copper in January:

Copper prices will reach at least $7.50 per pound sometime in 2026 – driven by structural supply constraints and accelerating demand for electrification, AI infrastructure, renewables, grid expansion, and industrial modernization.

Simply put, copper demand is booming, relative to supply growth. Therefore, widening deficits in the copper market are putting upward pressure on the copper price.

Six months ago, copper’s price was $5.70; now it’s $6.19. That’s obviously not $7.50, but we’re only halfway through the year – and with the help of growing data center demand, the metal has been hitting record highs this year.

With AI as a huge driver of demand in metals and energy, there is still a great opportunity in the copper market to make some money without having to bet the house on a high-profile AI name.

The proof can be found in our copper miner position in Fry’s Investment Report, Freeport-McMoRan Inc. (FCX), up over 20% year-to-date. (And remember, the Mag 7 has barely moved over the same time period.)

However, that’s only one metal I’m looking at to hedge against the risky nature of the current AI market.

Here’s the other…

Forecast No. 3: Gold Will Outperform Bitcoin

At the start of the year, I predicted gold would outperform Bitcoin (BTC-USD) in 2026. That forecast has been spot-on, but not exactly in the way I anticipated. Both of these currency substitutes have lost value against the dollar this year, but bitcoin has lost a lot more. The premier cryptocurrency is down a whopping 32% year-to-date, while gold has slumped only 7%.

After a robust advance early in the year, the yellow metal entered a sharp correction that shaved more than $1,000 off its price. But I’m expecting it to recover during the second half of the year, as the Federal Reserve moves toward an easier monetary policy.

Position for the Second Half

Two of my forecasts are already “in the money.” The second – copper to $7.50 – is still in the “prospective” category. But all three of them could continue to produce opportunities for forward-looking investors.

For example, letting go of those Mag 7 names flying too close to the sun and instead welcoming the companies actually applying AI technologies could be far more rewarding.

With six months left in 2026, the window to position ahead of these trends – rather than chase them – is still open.

I built the Fry’s Investment Report portfolio around exactly these forecasts – and right now, I have multiple recommendations targeting the Mag 7 unwind, the copper supply crunch, and gold’s setup against bitcoin.

For specific names and tickers, click here to learn more about joining Fry’s Investment Report.

Regards,

Eric Fry

The post Halfway Through 2026: My Calls That Are Already Paying Off appeared first on InvestorPlace.

If you’ve ever read George Washington’s journal entries, they’re about as dry as the wheat Washington farmed at Mount Vernon. But they provide an interesting look into Washington as an early adopter (pivoting from tobacco to wheat) and a patient farmer who obsessed over timing.

In the Washington Papers, we’re transported back to July 1770, where a month of harsh June rain had beaten the straw flat, yielding but a few grains per head. Most of Washington’s crop had either perished or was too mildewed to harvest. It was, in his own words, “exeeding[ly] bad.”

But George knew where it had gone wrong, and he waited… tallying the month’s losses in his journal and reaffirming his thesis. That is, a three-week harvest should begin before the wheat is ripe, or one might risk the entire loss of one’s crop.

More than two centuries later, that is the question we’re asking in our collaboration with Stansberry’s Director of Research, Matt Weinschenk… are you too late to the harvest?

Micron (MU) has been one of the great winners of the AI Boom. Over the past year, the MU stock chart has run up and to the right with almost no resistance.

Micron stock’s run is exactly what makes serious people nervous, because they know the memory cycle. They have watched it come and go. It has burned investors and minted fortunes, and the oldest saying on the desk is that you own memory only as long as the music is playing (and whoever is still standing when it stops loses their shirt).

We’ve heard that warning for two years running, and we’re still in the bull camp. Our case is that this cycle is built differently. Every memory boom that came before it was capped by the number of folks buying phones and laptops. An agentic AI world has no such ceiling … every new agent wants its own memory, and the only real gauge of the cycle becomes how much the hyperscalers are willing to spend.

That number is still climbing toward a trillion dollars a year, and we do not see the peak inside the next one to two years.

So the field is still filling. The music is still playing loud. And we are watching the one gauge that will tell us when it’s time to cut. Check out the episode below:

Why AI Needs More Memory Than Ever

Here’s the case in its simplest form: compute needs context.

The GPUs that Nvidia (NVDA), Advanced Micro Devices (AMD), and increasingly Intel (INTC) and Qualcomm (QCOM) are selling are the brains of this buildout. But a brain without context can’t do much. Memory is what gives these systems the context to actually answer a question or finish a task… and as AI has shifted from chatbots that simply respond to agents that remember, plan, and execute multi-step work, that context window has become the bottleneck.

I look at the chips themselves as the clearest evidence.

Nvidia’s A100 carried 80 gigabytes of memory. The H200 jumped to 151. The Blackwell chips now ship with nearly 300. Each generation of GPU needs exponentially more memory than the one before it… and every new data center needs exponentially more GPUs than the one before that.

The demand curve is compounding.

The Memory Cycle, Explained (And Why It’s Dangerous)

Memory is also the most commoditized link in the entire semiconductor chain. DRAM is DRAM, NAND is NAND, whether Micron makes it or SanDisk (SNDK) or Seagate (STX). That commoditization is exactly what makes the cycle so violent.

The pattern repeats: a demand boom arrives (PCs, mobile, cloud, work-from-home) and suppliers race to build capacity. By the time that new supply comes online, 12 to 24 months later, the demand that justified it has already cooled. Supply glut meets falling demand, margins collapse, and the stocks that looked unstoppable get cut in half. I count seven or eight separate 50%-plus drawdowns in Micron since 2008.

That history is where the old trading rule comes from: own memory stocks only as long as the music is playing, because when it stops, whoever hasn’t found a seat also loses their shirt.

Why I Believe This AI Memory Cycle Is Different

Every memory boom before this one was capped by a number Wall Street could count: how many phones, how many laptops, how many people were buying them. Human demand has a ceiling.

Agentic AI doesn’t.

There’s no point at which all the agents have enough memory and the industry stops needing more… the answer is simply to build another agent. The cap on past cycles was the size of the human population.

The cap on this one is hyperscaler spending, and that number keeps moving in one direction: this year’s roughly $700 billion to $800 billion in AI infrastructure spend is on pace to approach $900 billion next year, with outside estimates from Goldman Sachs and Bloomberg projecting close to $1 trillion annually by 2029 or 2030. Those forecasts keep getting revised up, not down… and that’s the trend I watch most closely.

Google’s (GOOGL) recent decision to raise $80 billion (upsized to $85 billion, with $10 billion coming from Berkshire Hathaway) is the tell.

Every hyperscaler is racing the others, and none of them believe they can afford to fall behind. When one raises its spending, the rest match it… and the shockwave multiplies across Amazon (AMZN), Microsoft (MSFT), Meta (META), and the Chinese cloud giants doing the same thing in parallel.

The Rolling Bottleneck

This buildout hasn’t moved in a straight line. Rather, it has moved from constraint to constraint. GPUs came first, which is why Nvidia led. Then the industry needed to assemble those chips into servers and racks, which is why Super Micro (SMCI) ran hard before legal trouble handed that business to Dell (DELL).

Then it needed data centers to house them, then networking and optics to connect them.

Memory is simply the latest link in that chain to come into focus. And from where I sit, Wall Street is only now catching up to what should have been obvious from the start: a data center needs all of it.

How High Can Micron Stock Go

Micron has run from roughly $800 toward $1,000 in recent weeks. My framework: the stock tends to advance in sharp bursts of 70% to 80%, then give back roughly 20% before resuming the climb. I expect that pattern to hold… a pullback toward the $800 level on any catalyst, geopolitical or otherwise, followed by a resumption of the climb toward $1,200 and eventually $1,400.

My case for staying long isn’t built on multiple expansion. Despite the stock’s run, Micron trades near nine times forward earnings, against a five-year average closer to 6.7 times — only modestly above its historical range, even after a tenfold move since 2024.

What’s actually driven Micron stock is the earnings power underneath it: EBIT near $9 billion in 2024 is on pace to approach $40 billion over the trailing twelve months, with estimates near $150 billion by 2027. The dollars have moved first. The multiple has barely followed.

What Could End the AI Memory Boom

I want to be direct about the risk here: this can’t go on forever, and no buildout in history has gone in a straight line.

The vulnerability I watch is the consumer. The hyperscalers’ AI budgets are ultimately funded by ad sales and product purchases — Amazon, Meta, and Google’s spending all trace back to discretionary spending from ordinary households.

The personal savings rate has fallen to 2.6%, a level I’ve only seen matched twice before: briefly in 2022, and in the two years leading into the 2008 financial crisis.

Real wages are negative…

Consumer sentiment sits near record lows…

If oil holds above $100 or the 10-year Treasury yield pushes past 5% for a sustained stretch, discretionary spending slows, ad revenue softens, and the hyperscalers’ capacity to keep funding this race shrinks with it.

There’s a political risk layer too: proposed legislation to redirect AI profits to households, and a handful of states moving to restrict new data center construction. None of it has teeth yet.

All of it is on my watchlist.

The Bottom Line

My read: we’re in the third mile of a marathon on AI model development, but the spending race itself could end far sooner if a shock — economic or geopolitical — forces the hyperscalers to pull back. Until that signal shows up, the music is still playing, and I remain firmly in the bull camp on memory stocks.

P.S. For the full conversation, including more on the memory cycle’s history and Luke’s case for why this one breaks the pattern, watch this week’s full episode of Top Stocks with Matt Weinschenk, featuring Luke Lango. And be sure to subscribe to Top Stocks on YouTube for more exclusive content.

Also, Join Luke at this year’s Stansberry Conference & Alliance Meeting – where ideas move fast, conviction gets sharper, and the next big opportunities come into focus.

You’ll get live market updates, learn about top ideas and stock picks from Jonathan Rose and Luke Lango, and have the chance to meet some of your favorite editors – like Marc Chaikin, Whitney Tilson, Dr. David Eifrig, and Keith Kaplan.

Attendees will hear from bestselling authors and experts in economics, technology (including AI), and more. This year’s featured speaker lineup also includes famed actor Henry Winkler (aka “The Fonz” from Happy Days).

Expect two days packed with intriguing presentations and fun social events – all in luxurious Las Vegas. It pays to be in the room where it all happens.

Reserve your discounted ticket today before they sell out!

The post Micron’s Run Looks Unstoppable. Here’s the One Number We’re Watching. appeared first on InvestorPlace.

Space is suddenly having a moment again – and if you’ve been reading Brian Hunt, you knew it was coming and are up 102%.

Brian, editor of the free e-letter Money & Megatrends, laid out the bull case for the sector back in September 2025. His approach was simple: look past SpaceX (SPCX) mania.

From his September 22^nd issue:

When people think of investing in space, they often go towards the business of launching rockets and Elon Musk’s SpaceX.

But many of the most promising “space stocks” are in the business of space-based communication platforms and equipment.

Think government surveillance, military communication, GPS, internet service, and cell service.

Among the names Brian flagged at the time were Rocket Lab (RKLB), BlackSky Technology (BKSY), Planet Labs PBC (PL), and AST SpaceMobile (ASTS). Since that issue, RKLB alone is up 102% – with a nice chunk of that coming yesterday.

RKLB popped 16% after announcing it would acquire a satellite communications company in a cash-and-stock deal valued at roughly $8 billion.

The logic is straightforward: Rocket Lab already builds and launches the vehicles. Now it owns the network those vehicles serve – a global L-band satellite constellation, licensed spectrum, and more than 2.5 million subscribers spanning government, defense, aviation, maritime and commercial markets.

Basically, it’s the same vertically integrated playbook SpaceX runs with Starlink – and Wall Street approved.

But the deal is also a sign of something bigger

The commercial space industry is consolidating – and consolidation at this scale signals that serious capital now views space infrastructure as a generational asset class, not a speculative moonshot.

Which leads us to the part of the story that may sting a little if you weren’t paying attention…

The company that Rocket Lab just bought was Iridium Communications (IRDM) – a global satellite communications provider that Brian flagged back in his April 17th issue.

Yesterday, on the acquisition news, IRDM surged 25% in a single session.

If you missed it, there’s an easy fix – Brian writes Money & Megatrends every day the market is open, highlighting these kinds of opportunities before they become front-page news – and it’s 100% free.

His issues are loaded with trend analysis, actionable advice, and loads of specific tickers. You can sign up right here.

In the meantime, we’ll keep bringing you some of Brian’s top ideas here in the Digest.

What’s behind the recent bloodbath in the space sector

Brian’s readers who acted on his issue are sitting on a 102% gain in RKLB. But if you’ve been watching the sector, you know it hasn’t been a straight line up – and more recently, it’s been a straight line down.

In late May, space stocks collapsed. It started with a Blue Origin rocket explosion during a prelaunch test – unsettling on its own, but manageable. What followed was less manageable.

When SpaceX went public earlier this month at a valuation exceeding $2 trillion, investors who’d been holding smaller space names as proxies rotated out fast, dumping RKLB, ASTS and others to chase the newly listed giant.

Then, as we covered in yesterday’s Digest, SPCX itself fell more than 30% from its post-IPO peak as Wall Street grew concerned over an unexpected $20 billion to $25 billion bond sale to fund Musk’s AI ventures. The whole sector came down with it.

Which brings us to an important issue – one worth asking before putting any money to work in space right now.

In every transformative technology cycle – the internet, genomics, clean energy – a handful of companies captured most of the gains while the rest eventually went to zero. Space is unlikely to be different.

The sector is real. The opportunity is real. But not every name with “space” in its pitch deck is going to make it.

So, how do you know which ones will survive and reward investors?

In short, you watch the numbers, not the narrative.

And that dovetails into legendary investor Louis Navellier and his market approach.

Louis has spent 47 years building a quantitative system that cuts through the narrative and looks at what matters – earnings momentum, sales growth and institutional buying pressure.

Stories can win sprints, but only earnings win marathons.

So, which space stock does Louis like today?

Here he is:

Planet Labs is one worth looking at right now.

The company operates the world’s largest fleet of Earth-observation satellites — more than 200 satellites providing daily imaging of the entire planet.

Its customers include government agencies, defense contractors, agricultural companies, insurance firms, and financial institutions that use satellite imagery to make better decisions.

Louis notes that the stock got cut nearly in half in the sector crash. But the business didn’t change – its price tag just got cheaper.

Back to Louis for how it looks through his quantitative screeners today:

My Precursor Intelligence system currently rates Planet Labs an “A.”

That means both the fundamental grade — earnings momentum, sales growth, analyst revisions — and the quantitative grade, which measures institutional buying pressure, are strong.

If you’re less familiar, Louis’s Precursor Intelligence system tracks institutional money flows across 6,000 stocks – essentially reading where the smart money is moving before the pattern becomes visible to everyone else.

He just put together a research video that explains it in more detail. You can learn more about how it works right here.

Now, while Louis likes Planet Labs, his more intriguing space plays are one layer beneath the obvious – the materials companies, the semiconductor foundries, the picks-and-shovels businesses that the broader space buildout can’t function without, and that almost no retail investor is looking at right now.

He’s identified two of them in his new special report, The SpaceX Stampede Report. Both have real earnings and institutional buying pressure. Neither one looks like a space stock at all – which is exactly why Louis likes them. You can learn more here.

The OpenAI delay that isn’t really a delay

Late last week, the New York Times reported that OpenAI is leaning toward pushing its IPO to 2027, citing concerns about broader market weakness and the volatility that followed SpaceX’s debut.

The headlines quickly spun this as a potential black eye for the AI trade. Here’s one example I ran across:

OpenAI Reportedly Considers Delaying Its IPO. Should You Worry About AI Stocks?

And, in fact, Oracle (ORCL) dropped 1.7% last Friday. CoreWeave (CRWV) fell nearly 4%. SoftBank closed down 13% in Tokyo – not surprising given that each has billions tied directly to OpenAI’s trajectory.

But is the IPO delay actually bad news?

Luke Lango, editor of Innovation Investor, doesn’t think so. From his Daily Notes:

On OpenAI: this is a rational decision by one of the most sophisticated management teams in tech, not a sign of trouble.

IPO-ing now would mean going public at significant losses, against Anthropic’s rapid progress and a market that just watched SPCX’s $1.75 trillion IPO produce more volatility than anyone wanted. 

Waiting buys a few more quarters of revenue growth, a possible path to profitability, ChatGPT 5.6 winning back share, and potentially the White House’s direct participation in the offering.

OpenAI goes public within the next twelve months, and the delay sets up a stronger event when it arrives. 

There’s also something worth noting that the headlines are mostly missing.

OpenAI reportedly held back the launch of ChatGPT 5.6 specifically to give the U.S. government time to test the model – a commercial company eating real competitive cost to satisfy a government approval process.

Meanwhile, the Pentagon recently updated its classified targeting doctrine to include more AI in combat decisions. Luke notes that once AI is embedded in defense doctrine, spending will stop following commercial ROI logic and start following strategic-necessity logic.

Here he is with the implications for the AI trade:

You don’t cut spending on a capability embedded in your targeting doctrine because your stock dropped for three weeks.

Commercial demand plus national-security backstop is what gives this capex cycle the durability bears keep underestimating.

Overall, Luke urges his readers to remain focused on real AI earnings growth and momentum – not shorter-term fears like an IPO delay.

Here’s his bottom line:

OpenAI waiting for a better IPO is not panic – it is strategy.

The AI boom is intact. The July earnings season will prove it. The window between today and mid-July is the buying opportunity.

Coming full circle

As I write, we’re on pace to wrap up a strong first half of 2026, with the Nasdaq leading the three major indexes – up about 12% so far this year.

Despite these gains, there’s no shortage of headlines designed to make you nervous right now. Space stocks crash. OpenAI delays its IPO. The Fed floats a hike.

But zoom out…

Even after a nearly 50% haircut in May, Brian’s readers are up 102% on a space stock that just made one of the biggest acquisitions in commercial space history…

Louis’ system is finding “A”-rated opportunities as the post-SpaceX-IPO dust settles…

And Luke sees a buying window in AI opening, not closing…

As always, invest within your means and in line with your plan. But if the bears are telling you the AI trade is broken, today’s Digest tells a different story.

Have a good evening,

Jeff Remsburg

The post One Space Stock to Buy Today appeared first on InvestorPlace.

Victor Glover is one of them.

Glover is a Navy captain, test pilot, engineer, and NASA astronaut. He earned three master’s degrees from three different institutions. During his naval career, one of his commanding officers gave him the call sign “Ike” – short for “I know everything.” It was partly tongue-in-cheek. But it fit.

In April 2026, Glover piloted Artemis II around the moon. In doing so, he became the first African American to leave low Earth orbit and travel beyond it. Along with his crewmates, he helped set a new record for the farthest distance humans have ever traveled from Earth.

That is the kind of achievement people remember.

But as an investor, I look at that story a little differently.

I see the astronaut, the rocket, and the mission. But I also see the enormous industrial machine behind it all. Artemis II was not just a triumph of courage and exploration. It was a triumph of supply chains, chips, sensors, navigation systems, advanced materials, communications equipment, and thousands of private-sector components that had to work together perfectly.

And Artemis II was not the end of the story. It was the beginning of a much larger campaign.

That is the part most investors miss. And that brings us to the recent SpaceX IPO – and the real lesson it has to teach.

In this piece, I’ll explain why I passed on the IPO – and give you one space stock my system currently rates a “B” that just got cheaper for no fundamental reason.

A Great Story Is Not Always a Great Stock

When Space Exploration Technologies Corp. (SPCX) went public, the crowd did what crowds usually do. They saw the name. They saw Elon Musk. Then they chased the stock.

The stock priced at $150 per share. Within two trading days, it had surged more than 40%, climbing above $200. Then gravity showed up. The stock fell back to Earth, all the way back to $150 last time I checked.

A lot of investors were reminded of a lesson I’ve learned again and again in nearly 50 years in this business: A great story is not always a great stock.

SpaceX is a remarkable company. Starlink has changed the world. I would never bet against Musk. But IPOs are different. By the time a hot private company reaches the public market, the early investors have already had the first bite. Wall Street bankers have every reason to make the story irresistible. And individual investors are often left trying to calculate risk with very little useful data.

That is not how I invest. I need quarterly earnings, analyst revisions, and institutional buying data. I need to run the stock through my system. Until then, buying a hot IPO is not investing. It is guessing – and I don’t guess with my money.

There is also a structural problem nobody is talking about. Right now, only about 5% to 6% of SpaceX’s float is tradable. The rest is locked up. Those 4,400 employees who became millionaires on paper? When their lockup expires, they will start cashing out – not because they’ve lost faith, but because that is what human beings do when a number on a screen becomes life-changing. Even if they sell 10% or 20% of their holdings, that will be a wall of supply hitting the market.

SpaceX will not be profitable until at least 2028. It is betting everything on its Starship rocket – still in testing, not yet ready to launch satellites or carry humans.

I miss all IPOs, for lack of a better word. Even if it’s a great company – and the jury’s still out on SpaceX – there will always be a better window.

The Proxy Stocks Got Punished – and One of Them Is Now a Buy

Here is something that did happen as predicted.

In the months before the SpaceX IPO, investors who wanted exposure to the space story bought proxy stocks – Rocket Lab Corp. (RKLB), Planet Labs PBC (PL), AST SpaceMobile Inc. (ASTS). These were the next-best options for investors who couldn’t buy SpaceX directly.

The moment SpaceX went public, those investors dumped the proxies and bought the real thing. The proxy stocks got hammered. Some genuinely strong businesses just got cheaper for no fundamental reason.

Good stocks bounce like fresh tennis balls, though. That’s the kind of dislocation my Precursor Intelligence system was built to find.

Planet Labs is one worth looking at right now. The company operates the world’s largest fleet of Earth-observation satellites – more than 200 satellites providing daily imaging of the entire planet. Its customers include government agencies, defense contractors, agricultural companies, insurance firms, and financial institutions that use satellite imagery to make better decisions.

The stock got caught in the SpaceX proxy selloff. But the business didn’t change. My Precursor Intelligence system currently rates Planet Labs a “B.” That means both the fundamental grade – earnings momentum, sales growth, analyst revisions – and the quantitative grade, which measures institutional buying pressure, are strong.

Planet Labs is worth putting on your radar here. It got cheaper because of SpaceX, not because of anything wrong with the business.

The Better Trade Is the One Nobody Sees

But here’s what I want you to understand.

Planet Labs is the obvious SpaceX-adjacent story, and the crowd will find it eventually. The more interesting opportunities are the ones that don’t look like space stocks at all.

Think about what Artemis II actually required. Not just rockets. It needed supply chains, chips, sensors, advanced materials, navigation systems, and communications equipment. A 100-year-old aluminum company making specialized aerospace alloys for the Space Launch System and the Orion spacecraft. A semiconductor foundry making the analog chips that help spacecraft see, hear, communicate, and manage power in the brutal conditions of deep space.

These are not the stocks people think of when they hear “space.” They are not the names AI tools are pointing investors toward. They are companies three or four steps back from the headline story – the ones Wall Street’s elephants have been quietly accumulating before anyone else noticed.

I’ve identified two of them in my new special report, The SpaceX Stampede Report. Both have real earnings. Both are seeing institutional accumulation. Both are the kind of businesses I prefer to own during a boom: picks-and-shovels companies for the new space and AI infrastructure economy.

Are You Investing Like an Elephant or a Mouse?

The SpaceX IPO is a perfect small-scale illustration of something I’ve been tracking across the entire market.

There are really only two kinds of investors in the stock market. I call them elephants and mice.

Elephants are the big institutional players – pension funds, endowments, large asset managers. They move slowly and methodically. They don’t react to headlines. They analyze fundamentals, build positions quietly over months, and wait.

Mice are retail investors. They move in herds, all reacting to the same information at the same time. They’re quick to buy and even quicker to run.

What concerns me right now is that AI trading systems are rapidly turning millions of retail investors into mice moving in perfect synchronization – millions of people using the same tools, the same datasets, the same recommendations, all crowding into the same stocks at the same time. When those AI systems all receive the same “Sell” signal simultaneously, the exit door doesn’t just jam. There is simply no one left on the other side of the trade.

I call this the “50-Million AI Coordination Trap.” And July 23 – at the height of second-quarter earnings season, when AI systems will be processing identical data and reaching identical conclusions simultaneously – is when it faces its first real test at scale.

I’ve spent 47 years building a system designed to read the elephants before the mice show up. I call it Precursor Intelligence. It tracks institutional money flows across 6,000 stocks, looking for the signs that the elephants are quietly moving in or out before the pattern becomes visible to those 50 million AIs and everyone else.

I’ve put together a full presentation explaining exactly how this works – what the trap looks like, which kinds of stocks are most vulnerable, and where my system is seeing institutional accumulation right now. During that free broadcast, I also name my No. 1 stock to buy and my No. 1 stock to avoid as the AI coordination trap builds.

Victor Glover didn’t get to the moon by chasing the obvious path. He got there by understanding every system behind the mission – the ones most people never think about.

That’s how I’ve tried to invest for 47 years. The crowd can chase the rocket, but I’d rather follow the money trail behind it.

Watch that free broadcast here.

Sincerely,

Louis Navellier

Editor, ÃÛÌÒ´«Ã½ 360

P.S. Planet Labs got cheaper because of SpaceX, not because of anything wrong with its business. My system rates it a “B” right now. But the two stocks I find most interesting in the SpaceX story aren’t the obvious space names at all – they’re the behind-the-scenes materials and semiconductor companies I cover in The SpaceX Stampede Report. Watch my presentation to learn how to get that report.

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

Rocket Labs Corp. (RKLB)

The post The Most Important Lesson From the SpaceX IPO appeared first on InvestorPlace.

It was during that year that I became close friends with a neighbor of mine. He was a market maker at the Chicago Board Options Exchange (CBOE). He gave me a behind the scenes look at his operations — along with his trading statements — and I was blown away.

Despite all of my experience, I realized then there was a whole world of trading I hadn’t tapped into — options trading. I spent months managing his book for free, and after I got my sea legs, I decided to set out on my journey to become a market maker myself.

What drew me to options — and what keeps me coming back even after all these years — is their incredible versatility. Unlike stocks, options allow you to express a range of opinions about a stock’s future. Will it rise? Fall? Stay flat? With options, you can craft strategies to profit no matter the scenario.

This flexibility is why I now consider options the ultimate trading vehicle. They offer the perfect balance of leverage and risk management, which makes them the perfect instrument for traders to use their experience and creativity to find setups with truly explosive potential.

Options Provide Flexibility

With options, we’re not limited to simply buying or selling shares at the current stock price. Options traders have the ability to express their opinions on a specific company, fund, or commodity in a variety of ways. Not only can we choose directionality with calls and puts, but we can also choose what price levels we want to target…

If we think Apple Inc. (AAPL) is going to $250, we can buy the $250 out-of-the-money calls instead of buying the at-the-money $225 calls, getting our portfolio leveraged exposure to the rise in share price — usually at a fraction of the cost.

The downside, of course, is that there’s no guarantee Apple will go up, let alone approach that $250 mark before our options expire. If an option expires out of the money (OTM), its value drops to zero and we lose our initial investment. That might sound scary, but it’s also one of the reasons options are such a powerful tool when used strategically.

Unlike buying the stock outright, where a drop in price could wipe out a significant portion of your portfolio, with options your maximum loss is capped at the initial premium you paid. This built-in risk limitation is a safety net available to traders that far too many overlook.

Even better, options offer flexibility that allows us to adapt our trades to changing market conditions.

If we’re holding that $250 call and Apple starts moving in the right direction, but stalls around $240, we’re not stuck watching our trade decay into a loss… Instead, we can take action and transform that single call into a vertical spread by selling a higher strike call, say at $260. Doing this brings in premium that reduces our initial cost, lowers our breakeven point, and keeps the trade alive with a more defined risk and reward.

Let’s break that down a little…

What Is a Vertical Spread?

Simply put, vertical spreads are positions that require us to buy and sell options of the same type and expiration date at different strike prices. When we say “vertical,” we’re referring to the position of the strike prices – essentially, one position offsets the other, which defines whether it’s a credit or debit spread.

Here’s a simple rule of thumb… Bullish vertical spreads increase in value when the underlying asset rises. Conversely, bearish vertical spreads profit from a decline in price.

Going a little deeper, a bullish vertical spread would require us to buy a bullish call spread and a bullish put spread. We simply buy the option with the lower strike price and sell the option with the higher strike price. 

A bearish vertical spread requires us to use bearish call spreads or bearish put spreads. We then sell the option with the lower strike price and buy the option with the higher strike price.

In both scenarios, we need to understand the role of debits and credits.

Debit, Credit, and Implied Volatility in Vertical Spreads

A credit is simplymoney received in an account. A credit transaction is one in which the net sale proceeds are larger than the net buy proceeds (cost), thereby bringing money into the account.  

On the other side, a debit is an expense, or money paid out from an account. A debit transaction is one in which the net cost is greater than the net sale proceeds.

If we think about the examples above, the bullish call spread actually produces a net debit while the bullish put spread results in a net credit at the outset. 

When we talk about debits and credits, we’re specifically paying attention to how volatility affects the overall trajectory of our trades. In this sense, we must always be aware of how Implied Volatility (IV) affects our overall thesis. This is a measurement of how much the price of an option’s underlying stock is expected to fluctuate over the life of the options contract (non-directional).  

Now that we have some terms in mind for understanding how vertical spreads work, let’s take a high-level look at the different types of vertical spreads…

The Types of Vertical Spreads

The Power of Rolling Into Spreads  

With vertical spreads, we have the power to target our upside and downside exposure without risking all of the capital we’ve put up on a single trade.

Many of our positions make use of these kinds of spreads in particular not only because they limit our risk… They also provide us different options for trade management based on whatever the markets throw at us. That’s what’s truly powerful about these trades – they allow us to stay nimble and adapt to wherever our chosen stock is heading.

• Define Your Maximum Investment and Risk: Vertical spreads allow us to define and manage the maximum we can possibly lose on any position.

Let’s say you’re holding a call option on Apple, and the stock has risen significantly. Instead of simply selling, consider rolling into a vertical spread by selling another call at a higher strike price. Here’s why this is powerful:

• How It’s Done: When AAPL rises, you can sell a higher-strike call option against your existing position. This locks in part of your gains and reduces the position’s risk, while still keeping some upside potential.
• Why It Works: A spread gives you extended exposure to AAPL’s potential rise but with less capital at risk. It’s a favorite approach for traders who want to stay in the game without putting all their chips on the line.

Pro Tip: One of the smartest things you can do after a winning options trade is reduce your risk without giving up all your upside. That’s exactly what vertical spreads are designed to do.

By now you understand the basic mechanics of a vertical spread. But knowing how they work is only half the equation. The real advantage is knowing when to use them.

In this video, I walk through why vertical spreads have become one of the cornerstones of my options strategy. Using real trades from our own portfolio, I show how selling a higher-strike option can dramatically reduce your capital at risk, define your maximum loss, and still leave room for substantial gains if the stock keeps moving in your favor.

Rather than simply taking profits and walking away, vertical spreads allow you to stay with your best ideas while steadily shifting the odds in your favor. It’s one of the most effective ways I know to trade with discipline over the long run.

Vertical spreads are just one tool in the toolbox. The real edge comes from understanding why we use them, when to use them, and how they fit into a complete trading plan.

That’s exactly what the Masters in Trading Options Challenge is designed to teach.

I’ll take you step by step through the same process I use every day—finding opportunities, structuring trades with defined risk, managing winners, and protecting your capital along the way. No hype. No guesswork. Just a practical framework you can apply to every trade you make.

If you’re serious about becoming a better options trader, join me inside the Masters in Trading Options Challenge. I think you’ll be surprised how quickly these concepts begin to click—and how much more confident you’ll feel every time you place a trade.

The post Rolling Into Spreads: Extend Profit Potential with Lower Risk appeared first on InvestorPlace.

AI just joined the payroll.

At Kalshi, the U.S.-regulated prediction-market platform where traders bet on real-world outcomes, an internal AI agent named Harrison is already performing work that looks a lot like analyst labor. 

It tracks news, monitors competitors, recommends new markets, drafts contract language, and helps resolve markets when they close.

Functionally, AI is starting to look less like software you use and more like labor you deploy — planning, checking, calling tools, retrieving information, revising, and repeating the loop until the job is done.

And that kind of AI is far more compute-hungry than the chatbot world investors first fell in love with.

AI Agents Are Moving From Answers to Action

For the first few years of the generative AI era, the story was almost entirely about capability.

ChatGPT conducted and organized research. Sora stunned users with hyper-realistic video. Claude summarized documents, drafted emails, wrote code, and helped professionals move faster. It was dazzling. 

At the same time, impressive as it was, this was still AI in its infancy.

The business model was straightforward: user asks, AI answers, company charges a subscription. The compute profile matched: modest inference on demand, a few thousand tokens in and out, and a model that mostly sat idle between queries.

But an AI agent is different. Give it an objective, and it goes to work — planning, executing, checking its own output, calling tools, querying databases, revising, and iterating until the task is complete. That continuous loop consumes inference compute on a vastly larger scale.

Gartner estimates that agentic workflows consume 5-30x more tokens per task than single-shot generative queries. Goldman Sachs sees the monthly token count for agentic AI applications reaching roughly 120 quadrillion by 2030.

This is the structural shift that most investors are still underestimating.

Why Agentic AI Requires So Much Inference Compute

Harrison shows what agentic AI can do across information-heavy workflows: 

• Ingesting and summarizing news, social media, filings, and market data
• Reasoning over that information to identify what matters for Kalshi’s open markets
• Drafting proposed contract language for new prediction markets
• Stress-testing that language for ambiguity, edge cases, or potential disputes
• Monitoring competitor platforms to benchmark Kalshi’s market offerings

Every one of those tasks is an inference call — often multiple — with tool use, retrieval, multi-step reasoning, and iterative revision layered on top. Agents like Harrison could be making dozens of API calls per task, around the clock.

Now multiply that by the number of enterprises building their own Harrison. Then multiply that by the number of workflows inside each enterprise that are ripe for agentic automation — compliance review, customer support, financial analysis, coding, procurement, legal research, sales outreach…

This is what we mean when we say we are at the very beginning of the inference demand supercycle.

The Investment Implication: Follow the Inference Demand

Follow the compute, and you’ll find the trade. 

It doesn’t matter which app wins, which enterprise deploys the most agents, or which model — GPT, Claude, Gemini, Llama — powers them.

What matters is that every agent is sending traffic through the same physical infrastructure stack. And that stack is finite, expensive to build, and currently being stretched to its limits.

Each layer collects a different kind of toll.

Accelerators: Nvidia and AMD Power the Reasoning Loop

Nvidia (NVDA) and AMD (AMD) remain the engine room of inference compute. Every time Harrison runs a reasoning loop — planning, executing, checking its work — it draws on accelerated compute. Nvidia’s Blackwell GPUs remain the preferred hardware for many large-scale AI workloads, and the 12-month order backlog shows how intense demand remains. AMD, meanwhile, is gaining ground in cost-sensitive inference workloads as hyperscalers look for alternatives and bargaining power. Both benefit structurally from the agentic shift. 

Networking and Custom Silicon: Lowering the Cost per Token

Every agentic workflow sends repeated traffic across the networking stack. Arista Networks (ANET) has continued raising its AI networking targets as demand from cloud customers accelerates. Its latest results showed revenue growth of 35% year over year, while management described the AI demand environment as unusually strong. Credo Technology (CRDO) supplies the active electrical cables that connect GPUs at the rack level. Broadcom (AVGO) and Marvell (MRVL) are designing the custom chips hyperscalers are deploying to run inference more efficiently and at lower cost per token. 

Memory: The Bottleneck Behind Long-Context Agents

Agents maintain large context windows — tracking conversation history, tool outputs, retrieved documents, intermediate reasoning steps — making high-bandwidth memory (HBM) a critical resource. Micron’s (MU) latest quarter showed just how central memory has become to the AI buildout. Fiscal Q3 revenue surged to $41.46 billion, up roughly 346% year over year, while non-GAAP gross margin hit 84.9%. The company also guided fiscal Q4 revenue to $50 billion and said memory demand continues to exceed supply, with tight conditions expected to persist beyond calendar 2027. Only three companies on the planet manufacture HBM at commercial scale. Micron is the only U.S.-headquartered one.

Servers, Racks, and Power: The Always-On Agent Layer

All the GPUs running continuous agentic-scale workloads need to live somewhere and be kept cool. Dell (DELL) and Super Micro (SMCI) build the servers and racks. Vertiv (VRT) supplies the power and cooling infrastructure that keeps them running. In Q1 2026, VRT reported $2.65 billion in revenue — up 30.1% year over year — against a $15 billion order backlog. Training happens in big, intense bursts. Agentic inference is different: it can run continuously across millions of workflows. That persistent demand raises the importance of power and cooling infrastructure. 

Storage: Fast Retrieval for Enterprise AI Agents

Agents need to retrieve information fast, requiring instant access to large datasets. That means high-performance storage is a must. Pure Storage (PSTG), Seagate (STX), and NetApp (NTAP) are likely beneficiaries as more enterprise workflows require AI systems with fast access to massive datasets. Pure Storage in particular has been gaining strength beneath the surface. In Q1 of FY2027, product revenue surged 55%, while subscription services accounted for 45% of total revenue. Operating profit jumped over 90% year-over-year to $159 million.

Optical Connectivity: The Overlooked Agentic AI Bottleneck

This may be the most overlooked constraint in the entire stack — and one of the next bottlenecks the market wakes up to. Moving data between GPUs, servers, and data centers at the speeds required for continuous agentic inference requires optical connectivity. As agent workloads move across servers, clusters, and data centers, more of that traffic depends on fiber, optics, and photonic interconnects. Coherent (COHR), Lumentum (LITE), and Corning (GLW) are building the infrastructure that makes high-throughput inference physically possible. The optics bottleneck is coming. These names are positioned for it before the crowd arrives.

The Bottom Line: Agentic AI Turns Compute Into Labor Cost

Kalshi’s Harrison is more than another headline. It’s a signal — that enterprise AI has crossed a threshold, from “interesting capability” to “operational necessity.” 

When a company builds a purpose-built internal agent and deploys it into its core workflows, it is making a structural bet that AI will permanently change how the business operates.

That bet requires infrastructure… and lots of it. 

We are at the very beginning of the inference supercycle — the period where AI demand shifts from episodic to persistent. 

The companies supplying the accelerators, networking, memory, servers, storage, power, cooling, and connectivity behind that shift are not side bets on AI. They are the trade.

Because once AI joins the payroll, compute becomes the new labor cost. 

The billionaires building sovereign AI from the inside already understand this. Their private capital has been moving into the physical layer of this buildout — energy, nuclear, fabrication, hard assets — for longer than the headlines suggest. Most of those positions aren’t available publicly.

Seven of them are.

Here’s what we know.

The post Kalshi’s Harrison Shows Where the Next AI Trade Is Heading appeared first on InvestorPlace.

Almost three weeks ago, we urged readers to stay away from the SpaceX IPO.

From our 6/11 Digest:

Don’t you do it – don’t you buy the SpaceX (SPCX) IPO tomorrow. Or, if you insist, at least do so with your eyes open.

Behind the warning was 45 years of U.S. IPO history – more than 9,300 offerings, compiled and analyzed by University of Florida professor Jay Ritter, who is the world’s foremost academic authority on IPOs.

In short, the average investor wasn’t going to be able to buy SPCX at its initial IPO price. By the time they could get in, the stock would already be trading at an inflated first-day price (history shows an average 19% first-day bump).

The data suggested that after its initial surge, the stock would experience a meaningful pullback, leaving average buyers underwater.

History likes to repeat itself – in more ways than one

The first historical repeat?

SPCX popped 19.2% on its first trading day – matching the 45-year historical average almost exactly.

The second repeat?

The average investor who bought at the tail end of that Day 1 surge or shortly thereafter and is still holding is already sitting on a loss.

According to CNBC on June 18, the five-day volume-weighted average price sat around $182. With SPCX’s price hovering near that level, CNBC’s conclusion at that time was:

The average investor who bought SpaceX shares in the open market after its debut has seen nearly all of their gains disappear…

The average post-IPO buyer is now approximately breaking even.

As I write on Monday, with SPCX shares trading roughly 21% below that June 18 level, that average post-IPO buyer is now sitting on a double-digit loss – just as history predicted.

Let’s jump to legendary investor Louis Navellier from last week’s Accelerated Profits June issue:

Some investors learned a tough lesson recently…

During the frenzy around the IPO, folks forgot one important fact: SpaceX will not be profitable until at least 2028.

Too many investors chase companies without earnings growth, such as SpaceX. Not a smart strategy, in my opinion.

Louis has built his career – and his track record – on the opposite philosophy

His approach centers on finding companies with accelerating earnings and strong fundamental grades, the kind of businesses that don’t need a hype cycle to justify their price. When earnings drive the story, the math works in your favor from the start.

Here’s Louis with where the math is working today as he looks ahead to the start of Q2 earnings season:

If you want to make money, you have to invest in companies with earnings – e.g., technology stocks.

According to our friends at FactSet, the Information Technology sector had its earnings estimates revised more than 7% higher since the start of the second quarter.

This sector is now expected to achieve 59.6% average earnings growth in the second quarter, up from estimates of 48.7% at the end of the first quarter.

Can we quantify this earnings strength and turn it into an expected return for the tech sector?

Yes – FactSet has already done it for us. It shows that, based on earnings forecasts, analysts predict the Information Technology sector will climb 26.5% over the next 12 months.

Meanwhile, the earnings strength across the tech sector is remarkable. Here’s FactSet with the data:

Overall, 62 of the 74 companies (84%) in the Information Technology sector have seen an increase in their mean EPS estimate [since March 31].

Of these 62 companies, 23 have recorded an increase in their mean EPS estimate of more than 10%.

FactSet flags Intel (INTC), Sandisk (SNDK), Micron (MU), and Nvidia (NVDA), among others, as EPS increase leaders.

Those names aren’t likely to surprise anyone who’s been following the AI trade…

This is the exact point that Louis makes in his latest research package.

When 50 million investors are working from the same tools and arriving at the same conclusions, the most obvious winners can get crowded fast.

The smart money – what Louis calls “the elephants” – tends to move on before that crowding peaks, quietly positioning themselves in the next opportunity while everyone is still celebrating the last one.

That’s the thesis behind his Precursor Intelligence system, and he just recorded a free presentation walking viewers through where institutional “elephant” money is moving right now. You can watch it here.

Coming full circle on SPCX, tech earnings, and where to have money now, I’ll give Louis the final word:

Our AI and data center stocks have a three-year order backlog. Thanks to accelerating earnings growth, these stocks should deliver spectacular performance through 2029.

Simply put, the AI and data center boom cannot be stopped!

Investors who understand this reality and align their portfolios accordingly stand to profit handsomely in the upcoming months (and years!).

Perhaps not if a growing chorus of politicians in Washington get their way…

At the start of the year, as our analysts were unveiling their 2026 market predictions, I made a call of my own

This year will bring a wave of new, controversial legislative proposals aimed at investment wealth – proposals that may not pass immediately, but will introduce a new layer of policy risk investors will have to price in.

That prediction has been validating in stages all year.

For example, in January, California’s Billionaire Tax Act began collecting signatures. It’s now headed for the November ballot (I’ll note that the bill contains language that critics – including the Wall Street Journal – say allows the legislature to expand eligibility without voter approval).

Then, at the start of the month, Senator Elizabeth Warren, D-Mass., published an op-ed in Time calling for new taxes on AI and higher capital gains rates.

And now, for the biggest one yet…

Just over a week ago, Senator Bernie Sanders, D-Vt., introduced the American AI Sovereign Wealth Fund Act. It would impose a one-time 50% tax on the equity of every major AI company with annual revenues of more than $200 million, with those shares going into a government-managed fund.

To be clear, this isn’t a 50% tax on profits – it’s a 50% tax on equity.

I feel like “tax” isn’t the right word to use there…

Recognize the direction

Now, let’s be realistic: This bill won’t pass under the current Congress.

But my prediction back in January was never about passage. It was about political trajectory – and where that trajectory is pointing.

Last week, three Democratic Socialists swept their New York primary races, all backed by NYC Mayor Zohran Mamdani, whom we flagged back in January as a signal worth watching.

One of those NYC winners – Darializa Avila Chevalier – had a 2019 social media post calling to “seize the means of production.” She won anyway.

None of this requires you to have a political opinion. What it requires is that you follow the trajectory – from California wealth taxes, to Warren’s op-ed, to Sanders’ equity seizure proposal, to three Democratic Socialists of America candidates headed to Congress (their districts are overwhelmingly blue) – and ask yourself…

What does the political landscape look like heading into the 2026 midterm and 2028 presidential election cycles? And what does that mean for your investment plan?

There are no right or wrong answers. No political commentary. Just a recognition of the shifting social/political landscape to navigate.

Bottom line: My 2026 January prediction was for a legislative wave. But only six months into the year, we’re already watching a flood.

The first Fed official to call for a rate hike just put his name on it

This past Friday, Minneapolis Fed President Neel Kashkari delivered a notable statement at the Aspen Ideas Festival:

In March, I had penciled in one rate cut by the end of the year.

In June, I’ve changed that to one rate hike by the end of the year.

He’s the first voting FOMC member to say that publicly, and by name – though he’s not alone.

The Fed’s June dot plot showed nine of 18 officials already expect at least one hike this year. So, the hawkish view has already been growing inside the building – Kashkari just walked it outside.

His reasoning goes beyond the Middle East…

Yes, he cited oil prices and the Strait of Hormuz disruption. But he also flagged something worth noting for anyone invested in the AI trade:

…hundreds of billions of dollars a year into data centers and all of the associated infrastructure that goes with that – anything that touches those sectors, the prices are skyrocketing.

In other words, the AI capex boom isn’t just an investment story. It’s now showing up as an inflationary pressure that a voting Fed member is explicitly citing as a reason to raise rates.

Set that against what we covered last Thursday…

Federal Reserve Chairman Kevin Warsh’s preferred inflation measure – the trimmed mean PCE – has sat in a remarkably narrow band of 2.3% to 2.4% for six straight months.

This is the analytical tension at the heart of Fed policy right now: Kashkari is reading the headline noise; Warsh is trying to strip it out.

This is the fault line dividing the wider FOMC today…

For example, New York Fed President John Williams thinks current policy is well-positioned. But Chicago Fed President Austan Goolsbee has expressed concern about inflation while declining to speculate on the Fed’s next move.

Bottom line: The FOMC is no longer of one mind.

So, what does this mean for investors?

Well, the next two or three inflation reports will carry more weight than usual. And the range of outcomes – hike, hold, or eventual cut – is genuinely open.

Given that Wall Street hates uncertainty, it might make for a bumpy run.

We’ll keep you updated.

Have a good evening,

Jeff Remsburg

(Disclaimer: I own MU)

The post The AI Trade Has Three New Problems appeared first on InvestorPlace.

Space Exploration Technologies Corp. (SPCX) is cooling off after its long-awaited IPO. Micron Technology, Inc. (MU) has suddenly become one of the biggest AI stories on Wall Street. The NASDAQ has been under pressure. And investors are trying to figure out where leadership goes next.

So, on the latest episode of Navellier ÃÛÌÒ´«Ã½ Buzz, I sat down with my friend and colleague Jason Bodner to talk through what is really happening.

Jason is a former Wall Street specialist who built the Big Money Index. In plain English, he studies institutional money flow. He looks for where big money is moving into stocks and where it is moving out.

And right now, that matters.

Because the smart money does not panic when stocks oscillate. It looks for the next leg of the market.

That is exactly what Jason and I discussed in our latest conversation. We talked about Micron’s explosive earnings, why AI leadership is shifting, how the memory shortage could last through 2028 and why money may be moving away from the old software leaders and into the companies solving AI’s biggest bottlenecks.

Click the image below to watch the latest episode of Navellier ÃÛÌÒ´«Ã½ Buzz.

To see more of my videos, click here to subscribe to my YouTube channel.

Plus, the grades in Stock Grader (subscription required) have been updated this week! Click here to plug in your own stocks and see how they’re rated.

My Blueprint for Finding Tomorrow’s Winners

Now, the most important point from our conversation is simple: AI leadership is changing.

For the past few years, investors have been obsessed with the obvious AI names. They chased the companies everyone already knew. They piled into the stocks tied directly to AI software, AI chips and the first wave of the boom.

But that is not where the whole opportunity ends.

As Jason explained, the next stage of AI leadership is moving toward “pick-and-axe” companies. These are the businesses solving the bottlenecks behind the AI buildout.

That includes memory companies like Micron. It includes photonics companies. It includes the companies helping connect thousands of GPUs together. And it includes the infrastructure companies that make the whole AI machine work.

That is a very important shift.

Because when leadership changes, most investors do not notice right away. They keep chasing the stocks that already worked. They keep watching the names that already made headlines. They keep looking backward.

But institutional money is usually looking forward.

That is why Jason’s Big Money Index is so useful.

And that is also exactly the kind of environment where my Precursor Intelligence system can help.

P.I. is my way of looking for fresh tracks in the numbers. It helps me analyze roughly 6,000 stocks using eight fundamental signals and one quantitative money-flow signal.

The goal is simple: I want to find companies with accelerating fundamentals and improving money flow before they become the obvious names every investor is chasing.

That matters even more today because AI-powered trading tools could make crowding more dangerous. If millions of investors rely on the same tools, the same model portfolios and the same automated systems, they may all pile into the same obvious names at the same time.

That can push stocks higher for a while. But it can also give institutional investors the liquidity they need to quietly move on.

So, I do not want to chase the crowd. I want to look for where the smart money may be headed next.

That is why I recently recorded a special presentation on Precursor Intelligence.

I explain how P.I. works, why AI-powered crowding could become a serious risk for investors and where I believe the smart money is moving next. I also reveal several stocks my system is flagging right now.

You can click here to watch it now.

Sincerely,

Louis Navellier

Editor, ÃÛÌÒ´«Ã½ 360

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

Micron Technology, Inc. (MU)

The post AI Leadership Is Shifting. Here’s How to Follow the Big Money appeared first on InvestorPlace.

This Week’s Ratings Changes:

Upgraded: Strong to Very Strong

Downgraded: Very Strong to Strong

Upgraded: Neutral to Strong

Downgraded: Strong to Neutral

Upgraded: Weak to Neutral

Downgraded: Neutral to Weak

Upgraded: Very Weak to Weak

Downgraded: Weak to Very Weak

To stay on top of my latest stock ratings, plug your holdings into Stock Grader, my proprietary stock screening tool. But, you must be a subscriber to one of my premium services.

To learn more about my premium service, Growth Investor, and get my latest picks, go here. Or, if you are a member of one of my premium services, you can go here to get started.

Sincerely,

Louis Navellier

Editor, ÃÛÌÒ´«Ã½ 360

The post Eli Lilly Upgraded, Carvana Downgraded: Updated Rankings on Top Blue-Chip Stocks appeared first on InvestorPlace.

Louis has been watching the SpaceX IPO closely — but not because he’s tempted to buy it. What he finds fascinating is how markets react when millions of investors chase the same story at the same time.

He argues that this dynamic is no longer limited to high-profile IPOs.

Now, AI-powered trading tools are quietly pushing retail investors into the same crowded positions across the entire market. When institutional money — the “elephants,” as Louis calls them — starts heading for the exit, the investors left behind may not see it coming until it’s too late.

Below, Louis explains the risk, names one space stock his system currently rates an “A” that just got cheaper for no fundamental reason, and introduces the framework he’s spent 47 years building to track where the smart money is moving before the crowd catches on.

Without further ado, here’s Louis…

There are some stories that can’t help but make you proud to be an American.

Victor Glover is one of them.

Glover is a Navy captain, test pilot, engineer, and NASA astronaut. He earned three master’s degrees from three different institutions. During his naval career, one of his commanding officers gave him the call sign “Ike” — short for “I know everything.” It was partly tongue-in-cheek. But it fit.

In April 2026, Glover piloted Artemis II around the moon. In doing so, he became the first African American to leave low Earth orbit and travel beyond it. Along with his crewmates, he helped set a new record for the farthest distance humans have ever traveled from Earth.

That is the kind of achievement people remember.

But as an investor, I look at that story a little differently.

I see the astronaut, the rocket, and the mission. But I also see the enormous industrial machine behind it all. Artemis II was not just a triumph of courage and exploration. It was a triumph of supply chains, chips, sensors, navigation systems, advanced materials, communications equipment, and thousands of private-sector components that had to work together perfectly.

And Artemis II was not the end of the story. It was the beginning of a much larger campaign.

That is the part most investors miss. And that brings us to the recent SpaceX IPO — and the real lesson it has to teach.

In this piece I’ll explain why I passed on the IPO — and give you one space stock my system currently rates an “A” that just got cheaper for no fundamental reason.

A Great Story Is Not Always a Great Stock

When Space Exploration Technologies Corp. (SPCX) went public, the crowd did what crowds usually do. They saw the name. They saw Elon Musk. Then they chased the stock.

The stock priced at $150 per share. Within two trading days, it had surged more than 40%, climbing above $200. Then gravity showed up. The stock fell back to Earth, all the way back to $150 last time I checked.

A lot of investors were reminded of a lesson I’ve learned again and again in nearly 50 years in this business: A great story is not always a great stock.

SpaceX is a remarkable company. Starlink has changed the world. I would never bet against Musk. But IPOs are different. By the time a hot private company reaches the public market, the early investors have already had the first bite. Wall Street bankers have every reason to make the story irresistible. And individual investors are often left trying to calculate risk with very little useful data.

That is not how I invest. I need quarterly earnings, analyst revisions, and institutional buying data. I need to run the stock through my system. Until then, buying a hot IPO is not investing. It is guessing — and I don’t guess with my money.

There is also a structural problem nobody is talking about. Right now, only about 5% to 6% of SpaceX’s float is tradable. The rest is locked up. Those 4,400 employees who became millionaires on paper? When their lockup expires, they will start cashing out — not because they’ve lost faith, but because that is what human beings do when a number on a screen becomes life-changing. Even if they sell 10% or 20% of their holdings, that will be a wall of supply hitting the market.

SpaceX will not be profitable until at least 2028. It is betting everything on its Starship rocket — still in testing, not yet ready to launch satellites or carry humans.

I miss all IPOs, for lack of a better word. Even if it’s a great company — and the jury’s still out on SpaceX — there will always be a better window.

The Proxy Stocks Got Punished — and One of Them Is Now a Buy

Here is something that did happen as predicted.

In the months before the SpaceX IPO, investors who wanted exposure to the space story bought proxy stocks — Rocket Lab Corp. (RKLB), Planet Labs PBC (PL), AST SpaceMobile Inc. (ASTS). These were the next-best options for investors who couldn’t buy SpaceX directly.

The moment SpaceX went public, those investors dumped the proxies and bought the real thing. The proxy stocks got hammered. Some genuinely strong businesses just got cheaper for no fundamental reason.

Good stocks bounce like fresh tennis balls, though. That’s the kind of dislocation my Precursor Intelligence system was built to find.

Planet Labs is one worth looking at right now. The company operates the world’s largest fleet of Earth-observation satellites — more than 200 satellites providing daily imaging of the entire planet. Its customers include government agencies, defense contractors, agricultural companies, insurance firms, and financial institutions that use satellite imagery to make better decisions.

The stock got caught in the SpaceX proxy selloff. But the business didn’t change. My Precursor Intelligence system currently rates Planet Labs an “A.” That means both the fundamental grade — earnings momentum, sales growth, analyst revisions — and the quantitative grade, which measures institutional buying pressure, are strong.

Planet Labs is worth putting on your radar here. It got cheaper because of SpaceX, not because of anything wrong with the business.

The Better Trade Is the One Nobody Sees

But here’s what I want you to understand.

Planet Labs is the obvious SpaceX-adjacent story, and the crowd will find it eventually. The more interesting opportunities are the ones that don’t look like space stocks at all.

Think about what Artemis II actually required. Not just rockets. It needed supply chains, chips, sensors, advanced materials, navigation systems, and communications equipment. A 100-year-old aluminum company making specialized aerospace alloys for the Space Launch System and the Orion spacecraft. A semiconductor foundry making the analog chips that help spacecraft see, hear, communicate, and manage power in the brutal conditions of deep space.

These are not the stocks people think of when they hear “space.” They are not the names AI tools are pointing investors toward. They are companies three or four steps back from the headline story — the ones Wall Street’s elephants have been quietly accumulating before anyone else noticed.

I’ve identified two of them in my new special report, The SpaceX Stampede Report. Both have real earnings. Both are seeing institutional accumulation. Both are the kind of businesses I prefer to own during a boom: picks-and-shovels companies for the new space and AI infrastructure economy.

Are You Investing Like an Elephant or a Mouse?

The SpaceX IPO is a perfect small-scale illustration of something I’ve been tracking across the entire market.

There are really only two kinds of investors in the stock market. I call them elephants and mice.

Elephants are the big institutional players — pension funds, endowments, large asset managers. They move slowly and methodically. They don’t react to headlines. They analyze fundamentals, build positions quietly over months, and wait.

Mice are retail investors. They move in herds, all reacting to the same information at the same time. They’re quick to buy and even quicker to run.

What concerns me right now is that AI trading systems are rapidly turning millions of retail investors into mice moving in perfect synchronization — millions of people using the same tools, the same datasets, the same recommendations, all crowding into the same stocks at the same time. When those AI systems all receive the same “Sell” signal simultaneously, the exit door doesn’t just jam. There is simply no one left on the other side of the trade.

I call this the “50-Million AI Coordination Trap.” And July 23 — at the height of second-quarter earnings season, when AI systems will be processing identical data and reaching identical conclusions simultaneously — is when it faces its first real test at scale.

I’ve spent 47 years building a system designed to read the elephants before the mice show up. I call it Precursor Intelligence. It tracks institutional money flows across 6,000 stocks, looking for the signs that the elephants are quietly moving in or out before the pattern becomes visible to those 50 million AIs and everyone else.

I’ve put together a full presentation explaining exactly how this works — what the trap looks like, which kinds of stocks are most vulnerable, and where my system is seeing institutional accumulation right now. During that free broadcast, I also name my No. 1 stock to buy and my No. 1 stock to avoid as the AI coordination trap builds.

Victor Glover didn’t get to the moon by chasing the obvious path. He got there by understanding every system behind the mission — the ones most people never think about.

That’s how I’ve tried to invest for 47 years. The crowd can chase the rocket, but I’d rather follow the money trail behind it.

Watch that free broadcast here.

Sincerely,

Louis Navellier

Senior Investment Analyst, InvestorPlace

P.S. Planet Labs got cheaper because of SpaceX, not because of anything wrong with its business. My system rates it an “A” right now. But the two stocks I find most interesting in the SpaceX story aren’t the obvious space names at all — they’re the behind-the-scenes materials and semiconductor companies I cover in The SpaceX Stampede Report. Watch my presentation to learn how to get that report.

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

Rocket Lab Corp. (RKLB)

The post SpaceX Created the Chaos. Louis Found the Opportunity. appeared first on InvestorPlace.

That move — up 40% in two days, then all the way back — is a perfect snapshot of what happens when millions of investors chase the same story at the same time. Louis Navellier has a name for it: the 50-Million AI Coordination Trap. And he thinks earnings season is about to test it at full scale.

Today he explains why he passed on SpaceX, names one space stock his system rates an “A” that got caught in the fallout for no fundamental reason, and lays out how to position yourself on the right side of what’s coming.

He recently recorded a full presentation on exactly this.

Here’s Louis with more.

There are some stories that can’t help but make you proud to be an American.

Victor Glover is one of them.

Glover is a Navy captain, test pilot, engineer, and NASA astronaut. He earned three master’s degrees from three different institutions. During his naval career, one of his commanding officers gave him the call sign “Ike” — short for “I know everything.” It was partly tongue-in-cheek. But it fit.

In April 2026, Glover piloted Artemis II around the moon. In doing so, he became the first African American to leave low Earth orbit and travel beyond it. Along with his crewmates, he helped set a new record for the farthest distance humans have ever traveled from Earth.

That is the kind of achievement people remember.

But as an investor, I look at that story a little differently.

I see the astronaut, the rocket, and the mission. But I also see the enormous industrial machine behind it all. Artemis II was not just a triumph of courage and exploration. It was a triumph of supply chains, chips, sensors, navigation systems, advanced materials, communications equipment, and thousands of private-sector components that had to work together perfectly.

And Artemis II was not the end of the story. It was the beginning of a much larger campaign.

That is the part most investors miss. And that brings us to the recent SpaceX IPO — and the real lesson it has to teach.

In this piece I’ll explain why I passed on the IPO — and give you one space stock my system currently rates an “A” that just got cheaper for no fundamental reason.

SpaceX Stock: A Great Story Is Not Always a Great Stock — Especially at IPO

When Space Exploration Technologies Corp. (SPCX) went public, the crowd did what crowds usually do. They saw the name. They saw Elon Musk. Then they chased the stock.

The stock priced at $150 per share. Within two trading days, it had surged more than 40%, climbing above $200. Then gravity showed up. The stock fell back to Earth, all the way back to $150 last time I checked.

A lot of investors were reminded of a lesson I’ve learned again and again in nearly 50 years in this business: A great story is not always a great stock.

SpaceX is a remarkable company. Starlink has changed the world. I would never bet against Musk. But IPOs are different. By the time a hot private company reaches the public market, the early investors have already had the first bite. Wall Street bankers have every reason to make the story irresistible. And individual investors are often left trying to calculate risk with very little useful data.

That is not how I invest. I need quarterly earnings, analyst revisions, and institutional buying data. I need to run the stock through my system. Until then, buying a hot IPO is not investing. It is guessing — and I don’t guess with my money.

There is also a structural problem nobody is talking about. Right now, only about 5% to 6% of SpaceX’s float is tradable. The rest is locked up. Those 4,400 employees who became millionaires on paper? When their lockup expires, they will start cashing out — not because they’ve lost faith, but because that is what human beings do when a number on a screen becomes life-changing. Even if they sell 10% or 20% of their holdings, that will be a wall of supply hitting the market.

SpaceX will not be profitable until at least 2028. It is betting everything on its Starship rocket — still in testing, not yet ready to launch satellites or carry humans.

I miss all IPOs, for lack of a better word. Even if it’s a great company — and the jury’s still out on SpaceX — there will always be a better window.

The SpaceX Proxy Selloff Created a Dislocation — and Planet Labs Is the Buy

Here is something that did happen as predicted.

In the months before the SpaceX IPO, investors who wanted exposure to the space story bought proxy stocks — Rocket Lab Corp. (RKLB), Planet Labs PBC (PL), AST SpaceMobile Inc. (ASTS). These were the next-best options for investors who couldn’t buy SpaceX directly.

The moment SpaceX went public, those investors dumped the proxies and bought the real thing. The proxy stocks got hammered. Some genuinely strong businesses just got cheaper for no fundamental reason.

Good stocks bounce like fresh tennis balls, though. That’s the kind of dislocation my Precursor Intelligence (P.I.) system was built to find.

Planet Labs is one worth looking at right now. The company operates the world’s largest fleet of Earth-observation satellites — more than 200 satellites providing daily imaging of the entire planet. Its customers include government agencies, defense contractors, agricultural companies, insurance firms, and financial institutions that use satellite imagery to make better decisions.

The stock got caught in the SpaceX proxy selloff. But the business didn’t change. My P.I. system currently rates Planet Labs an “A.” That means both the fundamental grade — earnings momentum, sales growth, analyst revisions — and the quantitative grade, which measures institutional buying pressure, are strong.

Planet Labs is worth putting on your radar here. It got cheaper because of SpaceX, not because of anything wrong with the business.

The Better Space Trade Is Three Steps Behind the Headline

But here’s what I want you to understand.

Planet Labs is the obvious SpaceX-adjacent story, and the crowd will find it eventually. The more interesting opportunities are the ones that don’t look like space stocks at all.

Think about what Artemis II actually required. Not just rockets. It needed supply chains, chips, sensors, advanced materials, navigation systems, and communications equipment. A 100-year-old aluminum company making specialized aerospace alloys for the Space Launch System and the Orion spacecraft. A semiconductor foundry making the analog chips that help spacecraft see, hear, communicate, and manage power in the brutal conditions of deep space.

These are not the stocks people think of when they hear “space.” They are not the names AI tools are pointing investors toward. They are companies three or four steps back from the headline story — the ones Wall Street’s elephants have been quietly accumulating before anyone else noticed.

I’ve identified two of them in my new special report, The SpaceX Stampede Report. Both have real earnings. Both are seeing institutional accumulation. Both are the kind of businesses I prefer to own during a boom: picks-and-shovels companies for the new space and AI infrastructure economy.

The 50-Million AI Coordination Trap — and How to Avoid it

The SpaceX IPO is a perfect small-scale illustration of something I’ve been tracking across the entire market.

There are really only two kinds of investors in the stock market. I call them elephants and mice.

Elephants are the big institutional players — pension funds, endowments, large asset managers. They move slowly and methodically. They don’t react to headlines. They analyze fundamentals, build positions quietly over months, and wait.

Mice are retail investors. They move in herds, all reacting to the same information at the same time. They’re quick to buy and even quicker to run.

What concerns me right now is that AI trading systems are rapidly turning millions of retail investors into mice moving in perfect synchronization — millions of people using the same tools, the same datasets, the same recommendations, all crowding into the same stocks at the same time. When those AI systems all receive the same “Sell” signal simultaneously, the exit door doesn’t just jam. There is simply no one left on the other side of the trade.

I call this the “50-Million AI Coordination Trap.” And July 23 — at the height of second-quarter earnings season, when AI systems will be processing identical data and reaching identical conclusions simultaneously — is when it faces its first real test at scale.

I’ve spent 47 years building a system designed to read the elephants before the mice show up. I call it Precursor Intelligence. It tracks institutional money flows across 6,000 stocks, looking for the signs that the elephants are quietly moving in or out before the pattern becomes visible to those 50 million AIs and everyone else.

I’ve put together a full presentation explaining exactly how this works — what the trap looks like, which kinds of stocks are most vulnerable, and where my system is seeing institutional accumulation right now. During that free broadcast, I also name my No. 1 stock to buy and my No. 1 stock to avoid as the AI coordination trap builds.

Victor Glover didn’t get to the moon by chasing the obvious path. He got there by understanding every system behind the mission — the ones most people never think about. 

That’s how I’ve tried to invest for 47 years. The crowd can chase the rocket, but I’d rather follow the money trail behind it.

Watch that free broadcast here.

The post The Space Stocks That Got Cheaper for No Good Reason appeared first on InvestorPlace.

That matters because AI-powered trading tools could soon push millions of investors into the same crowded stocks at the same time. And when that happens, institutional investors may use the rush of buying to quietly move on.

In today’s guest essay, Louis explains the risk, the opportunity, and how his Precursor Intelligence system is helping him track where the smart money may be headed next.

Over to you, Louis…

In 1909, Theodore Roosevelt left the White House and set out for East Africa.

He was not going there as a tourist.

Roosevelt, his son Kermit and a team of naturalists were traveling on behalf of the Smithsonian Institution. Much of the journey came down to one difficult task:

Tracking elephants.

In the thick African brush, you don’t just wait for an elephant to step into view. By then, it might already be too late.

You had to look for signs: Fresh tracks in the mud. Broken branches. Disturbed grass. A path through the brush that told you something enormous had passed through before you ever saw it.

That is how I think about stocks.

I am not interested in waiting until the whole world can see the elephant. By then, Wall Street has usually figured out the story. The headlines are everywhere. The crowd has shown up. And a lot of the easy money has already been made.

That brings me to Micron Technology, Inc. (MU).

Micron is no longer hiding in the brush. The stock is up 325% year-to-date and 853% over the past year. It became a $1 trillion market cap company last month. And after this week’s blowout earnings report, it is quickly becoming one of Wall Street’s favorite AI stocks.

That did not happen by accident.

It happened because Micron is helping solve one of the biggest problems in artificial intelligence today: The memory bottleneck.

So today, we’ll dig into Micron’s blowout quarter, discuss why it matters and then talk about how my system is already helping me find winners from the next phase of the AI boom before the crowd catches on.

Micron Crushed Wall Street’s Expectations

For the past few years, NVIDIA Corporation (NVDA) has been the grand finale of earnings season. But now, I believe Micron has taken that role.

Here’s why.

NVIDIA tells us how strong demand is for GPUs, the chips that power today’s AI systems. But Micron tells us whether those systems can get the memory they need to keep running at full speed.

Micron is one of the world’s largest makers of memory and storage chips. In plain English, its chips help computers and data centers store information, access it quickly and move it where it needs to go.

That may not sound as exciting as a cutting-edge GPU. But without memory, those GPUs cannot do their job.

Think of it like this: A GPU is the engine in a race car. Memory is the fuel line. You can build the most powerful engine in the world. But if the fuel line cannot deliver enough fuel, the engine cannot run at full speed.

That is the bottleneck AI is running into now. AI models are getting bigger. More companies are using AI in the real world. Data centers are being pushed harder. And all of that creates a need for faster, more advanced memory.

That is why Micron’s results matter so much.

The stock surged out of the gates Thursday morning after releasing blowout results for its third quarter in fiscal year 2026. Revenue jumped 73.8% year-over-year to $41.46 billion, while earnings surged a whopping 1,223.1% year-over-year to $28.86 billion, or $25.11 per share.

Wall Street was already expecting a strong quarter. The consensus estimate called for earnings of $20.71 per share on $35.82 billion in revenue. So, Micron posted a 21.2% earnings surprise and a 15.7% revenue surprise.

Micron also issued a stronger-than-expected outlook. For the fourth quarter in fiscal year 2026, the company expects total revenue of about $50 billion and earnings of about $31 per share. That would represent 342% year-over-year revenue growth and 923.1% year-over-year earnings growth.

That tells me this memory boom still has legs.

And management made clear why. The company noted, “Micron’s record fiscal third-quarter financial results and even stronger outlook for the fourth quarter reflect the strategic value of memory in the AI era.”

That last phrase is the key: The strategic value of memory in the AI era.

For years, memory chips were treated like a cyclical commodity business. Important? Yes. Exciting? Not really.

But AI has changed that. Today, memory is becoming one of the most important pressure points in the entire AI buildout. And Micron is standing right in the middle of it.

Is Micron Still Cheap?

Now, I know what some folks are thinking: Can a stock be up this much and still be attractive?

That is a fair question.

For decades, memory was a brutally cyclical business. That’s why, just before announcing earnings, Micron traded at just nine times forward earnings. That is far below Western Digital Corporation (WDC) and Seagate Technology Holdings plc (STX), which both trade at more than 36 times forward earnings.

The bears say that discount makes sense. They argue that memory is still memory, and this cycle will eventually turn.

I understand that argument, but there is a real case that this time is different.

Instead of short bursts of demand tied to PCs and smartphones, Micron is now tied to the ongoing buildout of AI data centers. And those data centers need massive amounts of high-performance memory.

Micron’s long-term supply agreements support that idea. ÃÛÌÒ´«Ã½Watch reported that Micron has signed 16 strategic customer agreements, and 14 of them include pricing that represents about $100 billion in cumulative revenue, minimum.

That kind of visibility is something memory companies didn’t always have. So, there is a strong argument that this run may not be over yet.

The Trap Investors Need to Avoid

That said, I have been around long enough to know what happens when a trade gets too crowded.

The more popular a stock becomes, the more crowded it can get. And in today’s market, crowding can happen faster than ever.

That is because millions of investors are now leaning on the same AI tools, the same AI-generated research, the same model portfolios and the same automated trading systems. So, when a stock becomes the obvious AI winner, the crowd can pile in all at once.

That can feel good for a while. It can push a stock higher. It can make everyone feel like they are on the right side of the trade.

But it can also create a dangerous setup.

When retail investors and AI-driven systems rush into the same obvious names, institutional investors often get the liquidity they need to sell into that demand. In other words, the crowd may be buying just as the smart money is quietly moving on.

That is the trap I want to help my readers avoid.

Again, Micron is a great company. I still like it. But the bigger lesson is that by the time a stock becomes obvious to everyone, the elephants of Wall Street may already be looking for the next opportunity.

That is why I do not want to chase the crowd. I want to look for the fresh tracks.

That is what my Precursor Intelligence (P.I.) system is designed to do.

P.I. is my way of looking for fresh tracks in the numbers. It helps me find companies with accelerating fundamentals and improving money flow before they become the obvious names every AI tool is recommending.

In my Accelerated Profits service, we have already seen this approach lead us to several powerful winners in the AI space, including:

• Celestica, Inc. (CLS): – +836%
• Sezzle (SEZL):  +up 625%
• TechnipFMC plc (FTI): +up 254%
• And more…

These are the kinds of gains that can happen when you find the fresh tracks early, before the elephant steps into the clearing.

To further explain how my P.I. system works, I recorded a special presentation. I also discuss why AI-powered crowding could become a serious risk for investors and where I believe the smart money is moving next.

I also reveal several stocks my system is flagging right now.

You can click here to watch it now.

Sincerely,

Louis Navellier

Senior Investment Analyst, InvestorPlace

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

Celestica, Inc. (CLS), Micron Technology, Inc. (MU), NVIDIA Corporation (NVDA), Seagate Technology Holdings plc (STX), Sezzle, Inc. (SEZL) and TechnipFMC plc (FTI)

The post The Crowd Found Micron – This Is How to Find the Next One appeared first on InvestorPlace.

In 2025, two professors wanted to see whether ChatGPT made people less creative. And so, they recruited 356 participants and asked them to perform a series of tasks, including one in which they were to make a toy from a paper bag, a brick, and a fan.

The researchers forced some test subjects to use their own creativity. Others were given access to ChatGPT for help.

To no one’s surprise, the cohorts without AI came up with entirely unique ideas. (One suggested adopting the brick as a pet, while another proposed disassembling the fan and turning the parts into nunchucks.)

But those using ChatGPT came up with almost the same toys. Ninety-four percent of their ideas “shared overlapping concepts,” and nine participants independently named their toy the same thing: the “Build-a-Breeze Castle.”

It’s as if AI is turning the entire world into the blandness of 2000s beige home interiors.

Emails start sounding the same…

Movie recommendations are duller…

And everything has that “competent but forgettable” AI sheen.

In a new presentation, legendary quant specialist Louis Navellier says this convergence is also happening on Wall Street. Millions of trading algorithms, advisors, and investors are increasingly relying on the same AI-powered tools.

The danger isn’t that AI is wrong…

It’s that AI causes everyone to do the same thing.

As Louis puts it, this creates crowded trades, concentrated ownership, and the potential for violent reversals when sentiment changes. It helps explain the strange movements in SpaceX (SPCX) over the past several days, and why “groupthink” seems to be taking over markets.

In that new free broadcast, Louis calls this the 50-Million AI Coordination Trap, a phenomenon where investors are all doing identical things without realizing it. Stocks that are popular among AI algorithms keep going up, while everything else seems to go nowhere. It’s becoming increasingly important to know what AI algorithms are recommending.

Now, many investors will dislike the idea of basing their decisions on AI-powered algorithms. I’m certainly uncomfortable with it.

Nevertheless, Louis has created a stock grading system that has long dealt with this issue by balancing “follow-the-money” scores against a company’s real fundamentals. Only companies that pass both earn his top “Buy” ratings.

And so, to illustrate, I’d like to showcase three of his system’s top-rated companies in this update. And if you’d like to learn more (and get access to that system), then click here.

Stock to Buy No. 1: Quality in a Risk-On ÃÛÌÒ´«Ã½

Swarm trading (whether driven by AI or humans) can mask a lot of bad behavior.

The venture capital boom of the mid-2010s allowed Theranos to raise almost a billion dollars, and so did truck maker Nikola during the electric vehicle craze of 2021. FTX rode a wave of crypto enthusiasm that same year. The founders of all three companies ended up getting convicted of fraud.

Now, most AI semiconductor companies are not criminal enterprises. They’re making legitimate bets on which technologies will come out ahead. But I guarantee we’ll see some spectacular blowups once AI trading tools decide to start selling the hottest chip companies.

To avoid the risk of accidentally buying frauds or mediocre firms, I’ve purposely favored blue-chip semiconductor companies in this newsletter. And it turns out it’s very possible to buy well-established chipmakers for triple-digit gains. Arm Holdings plc (ARM) (+110%) and Cohu Inc. (COHU) (+120%) are some recent examples.

This week, I’d like to bring you one more company that Louis’ system favors. It’s the bluest of blue-chip semiconductor stocks that should do well long after the current AI rally fades:

Texas Instruments Inc. (TXN).

Texas Instruments is the world’s largest analog chipmaker, specializing in the type of semiconductors that handle messy, real-world signals. These are things like pressure… temperature… cell phone signals… human heart rates… and more. Its chips convert this real-world information into the clean “0’s” and “1’s” that digital chips can then process.

Growth has been solid. In the most recent quarter, the company reported a 19% increase in revenues, driven by a 30% rise from industrial customers and a 90% jump in data center demand. AI servers use huge amounts of electricity, and hundreds of analog sensors per rack are needed to track power usage, heat, and voltages.

Texas Instruments should also benefit long after the AI data center boom ends, thanks to its large exposure to self-driving vehicles, humanoid robots, and other AI-powered robotics.

Louis’ system seems to agree. It recently upgraded TXN to a “B,” and highlights the firm’s strong earnings power and upward analyst revisions to stay invested for the long haul, even as “smart money” jumps in for the short-term AI boost.

Stock to Buy No. 2: A Second Power Play

In March 2025, I highlighted three stocks to buy for the AI Revolution.

“These are firms that learned to harness the often uncontrollable power of AI,” I wrote. “And as the tech world puts their collective foot on the R&D gas, we’re going to see these firms surge ahead.”

The trio have since returned 117% on average. And the best part is that one of these companies is still a “Buy”:

Monolithic Power Systems Inc. (MPWR).

Monolithic is a leader in power management chips for AI devices. These are the tiny semiconductors that use data (often from Texas Instruments) to convert messy electricity flows into the precise voltages that semiconductors need to function.

This is an incredibly important job. In AI data centers, servers often start up all at once, creating voltage dips and spikes. (It’s why turning on a microwave can briefly dim a home’s lights.) And without proper regulation, these power surges can fry any electronic chip connected to the system.

Monolithic’s products help data centers manage this challenge. The Seattle area-based firm pioneered putting multiple power management components onto a single integrated chip (that’s the “monolithic” in the name), and its advanced devices have become the gold standard for high-end AI chips. Monolithic chips are smaller, run cooler, waste less energy, and are more reliable than the patchwork approach that rivals use.

The result is that Monolithic has been growing fast. Revenues increased 26% last year and are on track to notch a 32% gain this year. The company also has been able to take market share of the voltage regulator chip market, thanks to its higher-end designs.

Louis’ system agrees. The company scores a top “A” grade in its quantitative “follow-the-money” score, and valuations remain reasonable, thanks to its rapid earnings growth.

Stock to Buy No. 3: America’s Healthcare Pivot

Finally, I’d like to highlight one decidedly non-AI stock with a lot of “smart money” buyers:

Oncology Institute Inc. (TOI).

This cancer care company has become a potential breakout firm, with strong institutional buying (read: AI-powered investors) and the fundamentals to match.

In short, Oncology Institute runs a network of 146 clinics across five states. Health plans pay TOI a fixed per-member-per-month fee to take on cancer patients, and TOI profits if it provides care below that fee. It was a historically unexciting business that relied on acquisitions and partnerships for growth.

However, TOI now has three potential catalysts.

The first is political.

In late April, Health and Human Services Secretary Robert F. Kennedy Jr. gave testimony to Congress that would have seemed totally out of character a year ago.

“China is now eating our lunch,” a visibly shaken Kennedy said in front of a congressional committee. “They went from running 3% of clinical trials to running 30%… We are losing scientists, we’re losing our IPs… and we’re going to lose our biosecurity.”

The federal government has since pivoted toward a far more accommodating stance to the U.S. healthcare system. Following Kennedy’s testimony, a key Food and Drug Administration committee unanimously recommended its first vaccine since the start of the current Trump administration. (An mRNA vaccine, no less!) Several days later, the Department of Health and Human Services announced Operation TrialBlazer, an ambitious project designed to fast-track clinical research.

This is important because TOI generates most of its profits not from direct cancer care, but rather from the expensive oncology drugs that its patients use. And because reimbursement rates are largely set by the Centers for Medicare & Medicaid Services (CMS), favorable posturing from the federal government is a clearly positive sign for TOI. As awful as it sounds, one of the easiest ways for regulators to spur cancer drug development is to raise what the government is willing to pay for them.

The second is TOI’s shift from negative profits to positive. In May, the company reiterated it expects to flip to positive adjusted EBITDA this year, and upgraded its free cash flow to positive $10 million at its midpoint, up from a previous prediction of a $5 million outflow. That matters because conservative investors often wait for companies to become profitable before buying.

The third is TOI’s high popularity among institutional and “smart money” investors. As mentioned earlier, these traders are beginning to show convergence in their actions. And as shares continue gaining momentum, these AI algorithms usually become more willing to buy a stock, not less. Louis’ system awards TOI a solid “B” for strong institutional buying, rising earnings momentum, and very strong sales growth.

The Human Nature of Artificial Intelligence

It turns out that AI investing carries many of the same investing biases that we humans do. In one 2025 meta-study, a team of European researchers found that large language models:

• Favor U.S. stocks. 93% of portfolios were invested in American stocks.
• Pursue risky allocations. 51% of investments were beyond normal allocations.
• Chase hot stocks. 28% of portfolios were invested in the top three equities that were traded most frequently in the past three months

Ask an AI where to invest today, and it might give some combination of SpaceX, Nvidia Corp. (NVDA), and the latest meme stock.

Professionally designed AI algorithms are often not much better. They’re trained on the same data… use the same machine-learning techniques… and are even created by the same people.

It’s no surprise that momentum has emerged as the single most important factor for predicting stock market returns.

That’s why I think it’s essential for you to watch Louis Navellier’s latest presentation, where he outlines the opportunities and risks of this new convergent market.

The highs are going to be far higher than in the past. Momentum-seeking algorithms will see to that. And that means the lows will also be far more devastating.

If you invest with the crowd, be sure to do so safely.

Click here to learn how.

Until next week,

Thomas Yeung, CFA

ÃÛÌÒ´«Ã½ Analyst, InvestorPlace

Thomas Yeung is a market analyst and portfolio manager of the Omnia Portfolio, the highest-tier subscription at InvestorPlace. He is the former editor of Tom Yeung’s Profit & Protection, a free e-letter about investing to profit in good times and protecting gains during the bad.

The post 3 Stocks to Buy for the AI Convergence appeared first on InvestorPlace.

Skeptics back East called it overbuilding. The railroad men, they believed, were laying track faster than the country could possibly need it, betting fortunes on demand that hadn’t shown up yet.

Then the final spike went in at Promontory Summit. Within a decade the freight volume crossing that line made the doubters look foolish. The infrastructure came first. The economy that needed it came roaring in right behind.

I bring this up because something almost identical just happened in the AI trade, and if you only watched the headlines this week, you missed it.

The violent selloff that rattled AI stocks over the past couple weeks wasn’t the beginning of the end. It was a buying opportunity dressed up as a crisis, and I can show you exactly why.

A lot of investors are out there right now convinced the AI Boom just cracked. They watched the semiconductor sector drop six, seven, eight percent in a single session and concluded the music had stopped.

Here’s the proof: Micron (MU) reported the biggest beat-and-raise I have ever seen from that company, and the stock jumped 15% after hours. That single print reversed an entire selloff that had been building since Broadcom (AVGO)‘s earnings kicked off this wave of “extremely high expectations meets extremely high expectations” fatigue.

Beat-and-raises hadn’t been enough for the market lately. Micron came to the table and said: here’s a beat-and-raise for you, market, what do you think about that? The market said: bought.

Everybody is screaming “bubble” right now, but the data says this bubble hasn’t even started inflating yet.

In this week’s episode, I’m going to walk you through why the fundamentals never broke, why the technical setup says we’re nowhere near a real top, and the exact screener I’m running to find the highest-torque dip buys in this market right now.

Stick around to the end, because the full breakdown on this week’s Being Exponential goes even deeper:

The Fundamentals Never Moved

So let’s run through what’s actually happening underneath the noise.

SpaceX (SPCX) isn’t just launching rockets anymore. It’s renting out compute to Anthropic, to Google, and now to Reflection AI as well. That tells me SpaceX has probably sold out something like 90% of its existing compute capacity, which means it has to build more.

More Colossus data centers.

More orbital infrastructure.

We’ve spent the past couple years calling this a hyperscaler race among four titans — Microsoft (MSFT), Amazon (AMZN), Meta (META), and Alphabet (GOOGL). Now SpaceX is forcing its way into the picture, and most of the market still hasn’t priced that in.

If SpaceX and Tesla (TSLA) merge, as widely speculated, that’s even more capital flowing straight into the AI infrastructure buildout.

We’re talking hyperscaler spending of $700 billion to $800 billion this year. Add SpaceX into that mix and next year could push past $1 trillion. Run the math out to 2028, 2029, and 2030, and you get estimates climbing toward $1.1 trillion, $1.2 trillion, $1.3 trillion in those out years. That’s not a slowdown. That’s convergence.

Qualcomm (QCOM) just raised its long-term data center revenue target to more than $15 billion by 2029, with $5 billion targeted for 2027. That’s not a one-year story. That’s three straight years of structural growth baked into the guide.

And underneath all of it, there’s a shift happening from generative AI to agentic AI — a shift from training workloads to inferencing workloads, which is a shift from GPU-heavy demand to CPU-heavy demand. That’s exactly why Intel (INTC), Arm Holdings (ARM), and AMD (AMD) have been getting a wave of upgrades and rising estimates lately. The capex isn’t slowing. It’s redistributing.

The Technical Tell

Now here’s where the dot-com comparison actually matters, and where most people get it wrong. I ran an analysis on pure price action: how far the Nasdaq 100 has traded above its 200-day moving average during this AI Boom versus during the dot-com boom of the late 1990s.

From 1995 through most of 1998, tech stocks rallied steadily, trading only 10% to 15% above the 200-day average. It wasn’t until the parabolic phase — late 1998 through early 2000, after the Fed cut rates following the LTCM crisis — that the Nasdaq 100 went vertical, eventually trading more than 50% above trend by March 2000. That’s when the boom became a bust.

Right now, throughout this entire AI Boom, the Nasdaq 100 has averaged roughly 10% above its 200-day moving average. As of today, it’s sitting around 13%. We have never gone vertical. We have never even gotten close to that 50% danger zone.

History tells me every boom enters a go-vertical phase before it busts, which means that phase is still ahead of us, not behind us. The most money in the dot-com era was made in those final, overheated years — 1998, 1999, 2000. I think we’re still working toward that stretch, not past it.

What I’m Watching, and What I’m Buying

To be clear, I’m not waving off every risk.

The K-shaped economy — the gap between Wall Street’s fortunes and Main Street’s — is something to monitor closely, along with politics over the next two years.

But on the encouraging side, inflation is dropping fast, oil has fallen to around $70 a barrel, and the 10-year Treasury yield has eased to 4.4%, which should support borrowing and consumer spending in the months ahead.

So here’s my playbook…

Screen for stocks up more than 50% year to date or more than 100% over the past year. Narrow that list to names that have pulled back 10% to 20% in the past two or three weeks. Then require that they’re still holding above their 200-day moving average. That combination (high momentum, healthy pullback, intact uptrend) is where I’m hunting for high-torque buys right now, because the momentum that was is the momentum that will be.

We’re not in the ninth inning here. We’re in the sixth or seventh. Buy the dip!

P.S. For the full conversation, including more on the SpaceX-Tesla speculation and Luke’s live read of the chart, watch this week’s full episode of Being Exponential. And be sure to subscribe to Being Exponential on X (formerly Twitter) for more exclusive content.

The post Don’t Mistake the Pullback for the Peak: Why This AI Selloff Is a Gift appeared first on InvestorPlace.

There is a common pattern in new technology cycles, and it goes like this: 

The innovation itself appears. Then, a bottleneck emerges. Next, capital floods in to solve the problem. Finally, the regime changes.  

We saw this “regime change,” or complete reorganization of stock market winners and losers, in the in the dot-com bust phase. 

Capital rotated out of the high-profile names and into a variety of other sectors, including base metals, precious metals, energy insurance, and utilities. Those sectors delivered solid double-digit or triple-digit returns over the early part of the 2000s, even while the Amazons, Intels, and Ciscos of the world fell 80% or more. 

Another regime change is happening now.  

Since the early AI revolution, the Magnificent Seven companies have been sat securely on the throne. The group includes Alphabet Inc. (GOOGL), Amazon.com Inc. (AMZN), Apple Inc. (AAPL), Meta Platforms Inc. (META), Microsoft Corp. (MSFT), Nvidia Corp. (NVDA), and Tesla Inc. (TSLA).  

But their seat is soon to be usurped. We are starting to see a rotation out of some of the highest profile, high beta tech stocks and into more real-world, asset-backed sectors. 

In today’s Smart Money, let’s look at a singular, but powerful, example.

Then, I’ll share one of my favorite stocks that is significantly outperforming the Mag 7 so far this year. 

Supplier Over Spender

In the past six months, Corning Inc. (GLW) – a supplier of the data center buildout – is up nearly 140%. On the other hand, Nvidia – a customer of Corning – is only up around 1.4%. 

Investors are rotating away from AI chips and toward AI picks and shovels. Corning is essentially the “glass backbone” of AI data centers, which is why investors are rediscovering it. 

The fiber-optic, hard-asset company is eclipsing the gains of the Wall Street darling with ease. Nvidia would need huge upside surprises to keep rising, while Corning simply needs to show steady AI-driven growth. 

That’s a Mag 7 killer.   

This dynamic will only increase as we move forward.

That means it’s important to own the companies that are providers or suppliers to this massive AI buildout, rather than the companies that spending the money to do build. 

Mag 7 Killer: A Prolific Energy Producer 

One of my favorite Mag 7 killer is one of America’s most prolific energy producers, and it’s firmly positioned to fuel America’s AI buildout. Data center demand for natural gas could become especially acute in the Delaware Basin, with a new “Data Center Alley” potentially blossoming in the region. 

As one of the leading producers in the Delaware Basin, Devon Energy Corp. (DVN) is well-positioned to benefit from structurally improving pricing trends in the region. 

For the last few years, the Delaware Basin has been rapidly boosting its production of both oil and gas. Unfortunately, gas volumes have overtaken pipeline capacity. As a result, much of the gas from the Delaware Basin is “stranded” – the oil and gas industry’s polite way of saying “worthless unless you can move it.” 

Producers flared it. Trucked it. Discounted it to oblivion. As such, the Delaware Basin has behaved for years like a brilliant student stuck in detention. It held enormous potential, but had no way to express it. 

But detention is ending. Two major pipeline projects are improving the economics of the Delaware Basin, especially for Devon. 

At the start of this year, the Wall Street brain trust expected Devon to post adjusted earnings-per-share (EPS) of roughly $3.95 in 2026. Today, those same prognosticators expect the company to earn $5.63 per share this year – a 35% increase.

Therefore, even though Devon shares have advanced 26% this year, the company’s expected earnings have increased even more.

To learn more about all of the Mag 7 killers that I recommend, join me today at Fry’s Investment Report.

Regards,

Eric Fry

The post One Mag 7 Killer Hiding in Plain Sight appeared first on InvestorPlace.

It was late in the fourth quarter. Indianapolis Colts quarterback Payton Manning jogged to the line of scrimmage and crouched behind his center. Eighty thousand fans were screaming. The play clock was winding down.

Most people in the stadium, and folks at home, were staring at the football.

Manning was already looking at something else. He had told receiver Brandon Stokley that if the San Diego Chargers gave him a certain look on defense, he’d give him a signal to change his route.

Before the ball was snapped, he had a game plan. When the Chargers set up as Manning expected, he read the defense and gave Stokley the sign.

A few seconds later, the ball was in the air. The receiver broke free exactly where Manning expected. Touchdown.

The crowd watched the play develop. SportsCenter showed the highlight and talked about the result.

But the play was over long before the ball crossed the goal line. Manning knew it was a touchdown waiting to happen because he recognized the setup that made it possible.

Credit: Philip Hoeppli

That’s the difference between watching the play and understanding the conditions that create the play.

Most investors are watching the play, focusing on what has already happened

They see a stock that’s climbing, or they hear analysts talking about it.

They read glowing headlines. Nowadays, they might even ask ChatGPT or Claude whether it’s a good buy.

But that’s a lot like watching the touchdown replay.

The real question is what happened before the play began. Who was buying before the headlines appeared?

The trick, of course, is getting into the right stocks before the crowd has caught on.

Investing legend Louis Navellier made his reputation by reading the field and acting before the rest of the market. Here is a great example from his Accelerated Profits service with Celestica (CLS).

Celestica started by building computer hardware, but expanded into aerospace, healthcare and renewable energy technology. Today, it plays a key role in manufacturing complex electronics, including components for electric vehicles, cloud computing and AI-driven technology.

Here’s Louis with why he picked this small firm as a future player in the AI Revolution:

Celestica plays a key role in the AI Boom by helping companies design, manufacture and optimize the hardware that powers AI systems like data centers.

The company builds high-performance computing (HPC) infrastructure, as well as products like switches, data storage products, processors and more.

The company also created Photonic Fabric, an optical compute and memory fabric solution that can help boost AI infrastructure. It has the ability to create, scale and sustain future AI models.

Louis recommended this stock to his Accelerated Profits readers in December 2023, when it traded at $27.70. As you can see below, the stock experienced some volatility, but is up more than 800% since the recommendation, and now trades for more than $350.

Better still, even with that gain, because Celestica continues to grow its earnings, CLS remains below Louis’ buy limit, so this stock still has further upside.

How Louis keeps reading the market before the crowds

Louis finds his winners with his proprietary screening tool, Stock Grader. If you’re unfamiliar, Stock Grader ranks more than 5,000 stocks every week for fundamental quality and institutional buying pressure (Louis’ quant score).

Finding quality companies is one thing … but detecting institutional buyers piling into a stock is another. That’s the signal Louis sees that tells him how the market is going to move. While retail investors and new AI systems focus on headlines and watch the play develop, Louis has already seen what is going to happen and gotten his readers into the trade.

The challenge for investors today is that everyone has access to the same information.

Aside from the Wall Street analysts and financial television talking heads, AI systems now have access to the information and can process it in seconds.

But information alone doesn’t create great investments.

The best opportunities often emerge before the story becomes obvious. Even before AI systems begin recommending stocks after scanning market headlines on the Internet.

That’s why Louis recently sat down to explain what he believes is one of the biggest changes ever to hit financial markets: the rise of Agentic AI.

The AI challenge you’re not hearing about

According to Louis, millions of investors are increasingly relying on the same AI systems, the same data sources, and the same recommendations.

And that creates a simple question:

What happens when everyone starts running the same play?

More importantly, how do you read the signals to position yourself before the crowd sees what is happening?

In his new presentation, Louis explains why he believes institutional buying pressure remains one of the most important clues in the market – the setup that tells him how the play is going to break – and how he uses it to identify opportunities long before they become obvious to everyone else.

He also reveals the stocks he believes are most vulnerable as investors increasingly follow AI-generated recommendations, along with several opportunities where he sees institutional money moving today.

Peyton Manning didn’t wait for the touchdown to know the play would work.

He recognized the opportunity before the ball was snapped.

Louis believes investing is entering a similar era where reading the market correctly is critical.

As millions of investors begin relying on the same AI tools and recommendations, the crowd may become increasingly focused on the same stocks at the same time.

The question is whether you’ll be reacting to what everyone else already sees – or identifying opportunities before they become obvious.

If you’d like to see how Louis identifies institutional buying pressure before it becomes obvious to everyone else, I encourage you to watch his new presentation here.

Enjoy your weekend,

Luis Hernandez

Editor in Chief, InvesorPlace

The post The One Question Every Investor Should Ask Before Buying a Stock appeared first on InvestorPlace.

Is this the next blockbuster IPO – or a pure meme stock?

Two weeks ago, Elon Musk had investors frantically debating the answer to that question when his aerospace juggernaut, SpaceX, finally IPO’d 24 years after its founding.

You probably know the headlines already — SpaceX commanding a staggering $2 trillion valuation at IPO, the largest IPO in history. The stock opening north of $160 and then peaking at $225 — or more than 67% above its IPO price.

Musk headlines have been everywhere since: planned vessel launches, Starlink government contracts, and newly gained trillionaire status for the world’s richest man.

I spent plenty of time reading the headlines too. But I was chasing a completely different narrative.

While everyone else was fixated on the scale and the capex, I went straight to the S-1 and dug through SpaceX’s FTC and SEC disclosures — the same kind of research I bring you every single day on Masters in Trading LIVE.

Now, let me be clear: I’m a huge fan of Musk’s companies. And I’m genuinely excited about SpaceX’s mission.

But what I found in the filings was not what the headlines were telling you.

SpaceX IPO Valuation: The Numbers Behind the Narrative

Let’s go back to that eye-popping $2 trillion valuation.

In 2025, SpaceX’s revenue machine kicked into overdrive — right when IPO talk started heating up.

But here’s the spread most people missed: that revenue beat wasn’t coming from rockets. SpaceX generated 61% of its cash that year from Starlink.

And Starlink wasn’t just the biggest piece — it was the only profitable piece. Not only that, but those profits couldn’t completely offset the losses bleeding out of SpaceX’s space and AI divisions.

Musk’s companies tend to run this way — lots of silos, lots of side bets, all feeding off each other. But for a SpaceX investor today, those side bets are actually dead weight.

The AI division — home to X and xAI — posted a $6.4 billion operating loss in 2025. And rather than pare back those investments, spending is only ramping up from here.

So strip away the headline number, factor in the debt and the lack of profitability, and here’s what that valuation actually means to investors: 107 times 2025 sales. That’s what you’re really paying for the stock.

That’s a price that reflects enormous confidence in the company’s future, even as profitability remains a work in progress.

Of course, none of this mattered to retail traders riding the hype. Because they all asked the obvious question: how do I get a piece of this at whatever price the market dictates?

I asked a different one — it’s the same one I’ve been putting to my viewers for months:

Does an IPO like SpaceX actually serve retail traders, or is it built for the most well-capitalized players to make a killing while everyone else holds the bag?

Today, I want to answer that question — and show you where the real opportunities are emerging for traders looking for exposure to the AI megatrend.

So let’s start by answering that question with yet another question traders rarely ever consider.

The IPO Trap

Behind SpaceX’s IPO, there’s a fundamental question the headlines aren’t asking:

Who is actually allowed to sell stock — and when?

Consider this…

Right now, only 639 million SpaceX shares are tradable. That’s a fraction of the more than 13 billion shares outstanding. And almost all of that float is already in the hands of long-term holders — names like Ron Baron of Baron Capital and Cathie Wood of ARK Invest, plus loyal retail investors who got in early through Musk’s other companies.

For everyone else, buying in now isn’t like getting in early on the next Amazon. You’re just buying the scraps left behind by the insiders who got there first.

And here’s what makes it extra infuriating. It’s all part of a hiddendynamic that most traders have no idea about. SpaceX is part of the problem. But there are dozens of companies all aiming for the same massive debut right now – on the same unfair terms.

The Lockup Expiration

That brings us to one handy tool in the IPO playbook that few investors ever consider – the lockup expiration period.

These contracts determine when insiders, employees, venture investors, and early backers can unload shares after an IPO. Typically, the lockup period extends 180 days post-IPO.

But with IPOs like SpaceX, that period is starting to get suspiciously longer. And that’s nothing but bad news for retail investors like us.

Here’s how it actually works. Say we own a company — Masters in Trading, ticker: MIT — and you’re all my employees. We IPO, and I hand each of you a million dollars in stock. Great news, right?

Except you can’t sell it. We’ve got an agreement: no selling for six months. Why? Because I don’t want our IPO crushed on day one. If nobody can sell, the stock has a real shot to rally.

In the hottest IPOs, 85% to 93% of shares stay locked up early like this. That means the real supply event hits months after everyone’s already stopped paying attention.

Now, let’s say our MIT stock finally trades 25% above the IPO price after months on the public market. And that’s the threshold over which I’m allowing you to sell your shares. Congratulations! You can go ahead and sell it. Have some fun.

But how about if it never hits that threshold? Then all you’re left with are shares that are becoming more and more worthless by the trading day that you still can’t sell.

And there’s the trap.

When companies do that, they’re taking advantage of their employees. And they’re also putting retail traders at a massive disadvantage, locking them out of the most valuable part of the IPO timeline.

We’re seeing that now in SpaceX. But it’s the same case with other recent flop IPOs I’ve covered like Figma Inc. (FIG) and Cerebras Systems Inc. (CBRS).

And it’s only getting worse from here.

The $3 trillion-dollar AI IPO pipeline — which includes names like OpenAI, Anthropic, Databricks, and others — may be setting up the exact same dynamics as I write to you.

Same hype. Same limited float. Same lockup mechanics. But potentially much bigger stakes.

So how does a trader get around the headline hype and the unreasonable lock-up periods? Here’s where the Masters in Trading playbook fully comes into play.

What We See in the Latest IPO Pipeline

Here’s the thing about names like SpaceX and Anthropic: their insiders have been positioned long before the public ever got a look. That capital advantage is exactly what prices retail out of the trade.

So here’s some common-sense trading. Don’t buy these IPOs with money you can’t afford to lose chasing someone else’s exit liquidity. Wait for the pullback. Don’t buy at the open — you’ll be underwater immediately.

Watch for the warning signs: small floats, unusual trading restrictions, any change to standard IPO mechanics, performance-based early-release triggers.

Two or three of these together is enough to stay away. Read the filings. And don’t buy the next Cerebras, Figma, or SpaceX at the open.

Now here’s the actual playbook.

Instead of chasing the giant — SpaceX — look at the supply chain underneath it. Look at what rallies alongside Musk’s biggest names. That’s exactly what we do at Masters in Trading. The moment SpaceX’s IPO took off, I actually turned to Tesla Inc. (TSLA)— and a deal flying completely under the radar. Tesla and Sunrun Inc. (RUN) just announced a framework to aggregate more than 16 gigawatts of home-energy capacity, sold straight to hyperscalers and utilities in Virginia.

It’s actually a three-way deal: Sunrun and Tesla are supplying hundreds of thousands of home batteries as dispatchable electrons, with Renew Home layering in 8 million-plus smart thermostats for demand response.

RUN ripped 21% on the news, adding roughly $522 million in market cap.

The catch: it’s a framework, a memorandum of understanding (MOU), not a signed contract. The concrete piece in Virginia is only about 300 megawatts so far. But the re-rate is real — this turns RUN from an installer into an AI-power demand play.

That move dragged short interest into the spotlight — and it lit up on my Unusual Options Activity scanner.

RUN’s setup going in: roughly 29% of float short, 53 to 59 million shares short, a borrow fee near 0.29%. Cheap and available.

That tells you those shorts weren’t trapped — they were just wrong. Now they may be forced to buy back, which only adds fuel to the move.

The unusual options flow gave us the spark while the deal gave us the confirmation.

So we got in with a short call position right as the stock started trading around our strike, then sold off another set of calls against it, converting into a vertical spread — lowering our capital at risk while keeping plenty of upside if RUN kept working higher.

The market is finally catching up to something we’ve been saying for a while: the power grid is one of the biggest bottlenecks in the AI buildout, and the companies that can bring new capacity online fast are the ones worth watching.

That’s exactly where Sunrun fits — right alongside past winners like MP Materials Corp. (MP), The Metals Company Inc. (TMC), and Freeport-McMoRan Inc. (FCX). They’re all sitting at the center of the modern tech arms race – whether that’s AI or aerospace.

I’m finding setups like this every day on Masters in Trading LIVE, 11 a.m. ET. And if you want the next opportunity hiding behind the headlines, that’s exactly what the Masters in Trading Options Challenge is built for.

The Challenge takes everything from my daily LIVEs — fixed risk, thesis-driven exits, laddered entries, defined-duration trades, emotional discipline — and puts it into practice in a structured, step-by-step environment.

Click here to check out what the Masters in Trading Options Challenge has in store for you.

Remember, the creative trader wins.

Jonathan Rose,

Founder, Masters in Trading

The post The $2 Trillion Question Nobody’s Asking About the SpaceX IPO appeared first on InvestorPlace.

But no team gets there by accident.

More than 200 national teams spend years fighting through regional qualifying matches. Every win, loss and draw affects the standings. And those standings decide who gets a shot at the trophy and who gets left watching from home.

Yesterday, Wall Street finished its own version of qualifying.

Through the Russell Reconstitution, thousands of smaller companies get promoted or left behind in the Russell indices. But the real story here isn’t who made the cut.

For some investors, that may not sound like much. But it matters.

Because when a company moves into a major Russell index, mutual funds and exchange-traded funds that track that index may be forced to buy shares. That can send billions of dollars moving through the market at the same time.

But the real story this year is not just which stocks made the cut.

It is what those moves can tell us about where institutional money may be headed next.

So, in today’s ÃÛÌÒ´«Ã½ 360, I’ll explain how the Russell Reconstitution works, why you should pay attention to it now and how I look for the early signals that may reveal tomorrow’s market leaders.

What Is the Russell Reconstitution?

Every year in June, Russell reviews thousands of publicly traded companies and ranks them by size.

Over several weeks, Russell released updated rankings showing which companies were moving up and which were moving down.

The largest 1,000 companies are then placed in the Russell 1000. The next 2,000 make up the Russell 2000. The final rankings were released yesterday. And beginning Monday, the changes will officially take effect. That’s when it’ll get interesting.

Many mutual funds and exchange-traded funds (ETFs) are designed to track the Russell indices. So, when a company is added, those funds have no choice but to buy shares.

And when billions of dollars move at the same time, the market notices. But the Russell Reconstitution is about more than the buying it can trigger. It’s one of the few times each year when investors get a clear look at which companies are moving up in the ranks. And this year, those rankings matter more than usual.

Why You Should Pay Attention Now

The market is changing faster than before. That’s why, for the first time since 1988, Russell is moving to a semi-annual schedule.

Instead of updating its small-cap indices once a year, it will now do so twice – once in June and again in December.

Here’s why.

According to FTSE Russell, recent market volatility, a widening gap between winning and losing stocks and the growing amount of money tied to its indices highlighted the need for a “more regular and responsive approach” to reconstitution.

In other words, Russell believes investors need a more up-to-date picture of what’s happening with small-cap stocks. The reaction to last year’s reconstitution helps explain why.

When last year’s final list was released, a record $102.5 billion in shares were traded on the NASDAQ, while another $114.7 billion was traded on the New York Stock Exchange.

And in some cases, that surge can have a noticeable impact.

Take Power Solutions International, Inc. (PSIX) for example. I recommended it to my Accelerated Profits subscribers in January last year.

Power Solutions makes engines and power systems used in heavy equipment, commercial vehicles and backup power applications – and increasingly, in data centers.

At the time, it showed a history of posting big earnings surprises and increased analyst estimates. So, I had to make sure my subscribers could get in.

Five months later, it was added to the Russell 3000 during last year’s reconstitution. Once it became official, PSIX climbed 21% in the first week.

That’s a big move in just a week. All told, we ended up making a 121% gain on PSIX by the time we sold it in May this year.

But it also raises an important question.

How do you identify companies like that before everyone else does?

How I Find Tomorrow’s ÃÛÌÒ´«Ã½ Leaders

Just as World Cup teams have to qualify for the tournament, companies have to earn their place in the Russell indices.

And I have my own way of deciding which stocks deserve my attention.

I call it my Precursor Intelligence system.

P.I. is my way of finding the companies that are already starting to qualify before Wall Street updates the official standings.

I use it to analyze roughly 6,000 stocks and rank them based on eight fundamental signals and one quantitative money-flow signal.

Those eight fundamental signals help me determine whether a company has the kind of sales growth, earnings growth, cash flow, margins and management efficiency institutions want to own.

The ninth signal helps me detect when institutional buying pressure may already be building.

Without a system like this, a stock like PSIX might not even be on the radar for most investors until after the buying pressure has already shown up.

That is why I recently put together a special report called Four P.I. Trades for 400% Gains.

Inside, I reveal four companies my Precursor Intelligence system is flagging right now. These are stocks where I believe the same kinds of signals that showed up in PSIX may already be forming.

You can get the details here.

Sincerely,

Louis Navellier

Editor, ÃÛÌÒ´«Ã½ 360

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

Power Solutions International, Inc. (PSIX)

The post How to Spot Small-Cap Winners Before the Crowd appeared first on InvestorPlace.

Most investors are focused on what that means for Micron. My friend and colleague Louis Navellier — who recently recorded a presentation focused on uncovering where the smart money is moving next — is on the hunt for the next great investment opportunities.

Louis has spent five decades finding where institutional money moves before the rest of the market catches on. Today he explains why Micron’s blowout quarter is actually a signal about the next bottleneck in AI — and how his system is already tracking the names that could benefit before Wall Street figures it out.

Read on for all the details.

In 1909, Theodore Roosevelt left the White House and set out for East Africa.

He was not going there as a tourist.

Roosevelt, his son Kermit and a team of naturalists were traveling on behalf of the Smithsonian Institution. Much of the journey came down to one difficult task:

Tracking elephants.

In the thick African brush, you don’t just wait for an elephant to step into view. By then, it might already be too late.

You had to look for signs: Fresh tracks in the mud. Broken branches. Disturbed grass. A path through the brush that told you something enormous had passed through before you ever saw it.

That is how I think about stocks.

I am not interested in waiting until the whole world can see the elephant. By then, Wall Street has usually figured out the story. The headlines are everywhere. The crowd has shown up. And a lot of the easy money has already been made.

That brings me to Micron Technology, Inc. (MU).

Micron is no longer hiding in the brush. The stock is up 325% year-to-date and 853% over the past year. It became a $1 trillion market cap company last month. And after this week’s blowout earnings report, it is quickly becoming one of Wall Street’s favorite AI stocks.

That did not happen by accident.

It happened because Micron is helping solve one of the biggest problems in artificial intelligence today: The memory bottleneck.

So, in today’s ÃÛÌÒ´«Ã½ 360, we’ll dig into Micron’s blowout quarter, discuss why it matters and then talk about how my system is already helping me find winners from the next phase of the AI boom before the crowd catches on.

Micron Crushed Wall Street’s Expectations. Here’s What the Numbers Actually Mean.

For the past few years, NVIDIA Corporation (NVDA) has been the grand finale of earnings season. But now, I believe Micron has taken that role.

Here’s why.

NVIDIA tells us how strong demand is for GPUs, the chips that power today’s AI systems. But Micron tells us whether those systems can get the memory they need to keep running at full speed.

Micron is one of the world’s largest makers of memory and storage chips. In plain English, its chips help computers and data centers store information, access it quickly and move it where it needs to go.

That may not sound as exciting as a cutting-edge GPU. But without memory, those GPUs cannot do their job.

Think of it like this: A GPU is the engine in a race car. Memory is the fuel line. You can build the most powerful engine in the world. But if the fuel line cannot deliver enough fuel, the engine cannot run at full speed.

That is the bottleneck AI is running into now. AI models are getting bigger. More companies are using AI in the real world. Data centers are being pushed harder. And all of that creates a need for faster, more advanced memory.

That is why Micron’s results matter so much.

The stock surged out of the gates Thursday morning after releasing blowout results for its third quarter in fiscal year 2026. Revenue jumped 73.8% year-over-year to $41.46 billion, while earnings surged a whopping 1,223.1% year-over-year to $28.86 billion, or $25.11 per share.

Wall Street was already expecting a strong quarter. The consensus estimate called for earnings of $20.71 per share on $35.82 billion in revenue. So, Micron posted a 21.2% earnings surprise and a 15.7% revenue surprise.

Micron also issued a stronger-than-expected outlook. For the fourth quarter in fiscal year 2026, the company expects total revenue of about $50 billion and earnings of about $31 per share. That would represent 342% year-over-year revenue growth and 923.1% year-over-year earnings growth.

That tells me this memory boom still has legs.

And management made clear why. The company noted, “Micron’s record fiscal third-quarter financial results and even stronger outlook for the fourth quarter reflect the strategic value of memory in the AI era.”

That last phrase is the key: The strategic value of memory in the AI era.

For years, memory chips were treated like a cyclical commodity business. Important? Yes. Exciting? Not really.

But AI has changed that. Today, memory is becoming one of the most important pressure points in the entire AI buildout. And Micron is standing right in the middle of it.

Is Micron Stock Still Worth Buying After a 325% Run?

Now, I know what some folks are thinking: Can a stock be up this much and still be attractive?

That is a fair question.

For decades, memory was a brutally cyclical business. That’s why, just before announcing earnings, Micron traded at just nine times forward earnings. That is far below Western Digital Corporation (WDC) and Seagate Technology Holdings plc (STX), which both trade at more than 36 times forward earnings.

The bears say that discount makes sense. They argue that memory is still memory, and this cycle will eventually turn.

I understand that argument, but there is a real case that this time is different.

Instead of short bursts of demand tied to PCs and smartphones, Micron is now tied to the ongoing buildout of AI data centers. And those data centers need massive amounts of high-performance memory.

Micron’s long-term supply agreements support that idea. ÃÛÌÒ´«Ã½Watch reported that Micron has signed 16 strategic customer agreements, and 14 of them include pricing that represents about $100 billion in cumulative revenue, minimum.

That kind of visibility is something memory companies didn’t always have. So, there is a strong argument that this run may not be over yet.

The AI Crowding Trap — and Why Micron’s Popularity Is the Warning Sign

That said, I have been around long enough to know what happens when a trade gets too crowded.

The more popular a stock becomes, the more crowded it can get. And in today’s market, crowding can happen faster than ever.

That is because millions of investors are now leaning on the same AI tools, the same AI-generated research, the same model portfolios and the same automated trading systems. So, when a stock becomes the obvious AI winner, the crowd can pile in all at once.

That can feel good for a while. It can push a stock higher. It can make everyone feel like they are on the right side of the trade.

But it can also create a dangerous setup.

When retail investors and AI-driven systems rush into the same obvious names, institutional investors often get the liquidity they need to sell into that demand. In other words, the crowd may be buying just as the smart money is quietly moving on.

That is the trap I want to help my readers avoid.

Again, Micron is a great company. I still like it. But the bigger lesson is that by the time a stock becomes obvious to everyone, the elephants of Wall Street may already be looking for the next opportunity.

That is why I do not want to chase the crowd. I want to look for the fresh tracks.

That is what my Precursor Intelligence (P.I.) system is designed to do.

P.I. is my way of looking for fresh tracks in the numbers. It helps me find companies with accelerating fundamentals and improving money flow before they become the obvious names every AI tool is recommending.

In my Accelerated Profits service, we have already seen this approach lead us to several powerful winners in the AI space, including:

• Celestica, Inc. (CLS): +836%
• Sezzle (SEZL): +625%
• TechnipFMC plc (FTI): +254%
• And more…

These are the kinds of gains that can happen when you find the fresh tracks early, before the elephant steps into the clearing.

To further explain how my P.I. system works, I recorded a special presentation. I also discuss why AI-powered crowding could become a serious risk for investors and where I believe the smart money is moving next.

I also reveal several stocks my system is flagging right now.

You can click here to watch it now.

The post The Hidden Risk Building Inside the Most Popular AI Stocks Right Now appeared first on InvestorPlace.

That’s the lesson legendary investor Louis Navellier wants investors to take away from today’s Friday Digest takeover.

Using Micron (MU) as an example, Louis explains why AI’s latest bottleneck has created enormous winners – but also why the next opportunity may already be taking shape somewhere else. His focus isn’t on chasing yesterday’s headlines. It’s on identifying where institutional money is quietly flowing before the crowd catches on.

That’s the idea behind Louis’ Precursor Intelligence system, which he designed to identify where institutional money is flowing before a stock becomes an obvious AI favorite.

Louis dives deeper into this approach in a free presentation, where he discusses the next phase of the AI boom and the stocks his system is flagging today. You can watch it right here.

If history is any guide, the biggest AI winners of tomorrow probably won’t be the stocks everyone is talking about today.

I’ll let Louis take it from here.

Have a good evening,

Jeff Remsburg

In 1909, Theodore Roosevelt left the White House and set out for East Africa.

He was not going there as a tourist.

Roosevelt, his son Kermit and a team of naturalists were traveling on behalf of the Smithsonian Institution. Much of the journey came down to one difficult task:

Tracking elephants.

In the thick African brush, you don’t just wait for an elephant to step into view. By then, it might already be too late.

You had to look for signs: Fresh tracks in the mud. Broken branches. Disturbed grass. A path through the brush that told you something enormous had passed through before you ever saw it.

That is how I think about stocks.

I am not interested in waiting until the whole world can see the elephant. By then, Wall Street has usually figured out the story. The headlines are everywhere. The crowd has shown up. And a lot of the easy money has already been made.

That brings me to Micron Technology, Inc. (MU).

Micron is no longer hiding in the brush. The stock is up 325% year-to-date and 853% over the past year. It became a $1 trillion market cap company last month. And after this week’s blowout earnings report, it is quickly becoming one of Wall Street’s favorite AI stocks.

That did not happen by accident.

It happened because Micron is helping solve one of the biggest problems in artificial intelligence today: The memory bottleneck.

So today, we’ll dig into Micron’s blowout quarter, discuss why it matters and then talk about how my system is already helping me find winners from the next phase of the AI boom before the crowd catches on.

Micron Crushed Wall Street’s Expectations

For the past few years, NVIDIA Corporation (NVDA) has been the grand finale of earnings season. But now, I believe Micron has taken that role.

Here’s why.

NVIDIA tells us how strong demand is for GPUs, the chips that power today’s AI systems. But Micron tells us whether those systems can get the memory they need to keep running at full speed.

Micron is one of the world’s largest makers of memory and storage chips. In plain English, its chips help computers and data centers store information, access it quickly and move it where it needs to go.

That may not sound as exciting as a cutting-edge GPU. But without memory, those GPUs cannot do their job.

Think of it like this: A GPU is the engine in a race car. Memory is the fuel line. You can build the most powerful engine in the world. But if the fuel line cannot deliver enough fuel, the engine cannot run at full speed.

That is the bottleneck AI is running into now. AI models are getting bigger. More companies are using AI in the real world. Data centers are being pushed harder. And all of that creates a need for faster, more advanced memory.

That is why Micron’s results matter so much.

The stock surged out of the gates Thursday morning after releasing blowout results for its third quarter in fiscal year 2026. Revenue jumped 73.8% year-over-year to $41.46 billion, while earnings surged a whopping 1,223.1% year-over-year to $28.86 billion, or $25.11 per share.

Wall Street was already expecting a strong quarter. The consensus estimate called for earnings of $20.71 per share on $35.82 billion in revenue. So, Micron posted a 21.2% earnings surprise and a 15.7% revenue surprise.

Micron also issued a stronger-than-expected outlook. For the fourth quarter in fiscal year 2026, the company expects total revenue of about $50 billion and earnings of about $31 per share. That would represent 342% year-over-year revenue growth and 923.1% year-over-year earnings growth.

That tells me this memory boom still has legs.

And management made clear why. The company noted, “Micron’s record fiscal third-quarter financial results and even stronger outlook for the fourth quarter reflect the strategic value of memory in the AI era.”

That last phrase is the key: The strategic value of memory in the AI era.

For years, memory chips were treated like a cyclical commodity business. Important? Yes. Exciting? Not really.

But AI has changed that. Today, memory is becoming one of the most important pressure points in the entire AI buildout. And Micron is standing right in the middle of it.

Is Micron Still Cheap?

Now, I know what some folks are thinking: Can a stock be up this much and still be attractive?

That is a fair question.

For decades, memory was a brutally cyclical business. That’s why, just before to announcing earnings, Micron traded at just nine times forward earnings. That is far below Western Digital Corporation (WDC) and Seagate Technology Holdings plc (STX), which both trade at more than 36 times forward earnings.

The bears say that discount makes sense. They argue that memory is still memory, and this cycle will eventually turn.

I understand that argument, but there is a real case that this time is different.

Instead of short bursts of demand tied to PCs and smartphones, Micron is now tied to the ongoing buildout of AI data centers. And those data centers need massive amounts of high-performance memory.

Micron’s long-term supply agreements support that idea. ÃÛÌÒ´«Ã½Watch reported that Micron has signed 16 strategic customer agreements, and 14 of them include pricing that represents about $100 billion in cumulative revenue, minimum.

That kind of visibility is something memory companies didn’t always have. So, there is a strong argument that this run may not be over yet.

The Trap Investors Need to Avoid

That said, I have been around long enough to know what happens when a trade gets too crowded.

The more popular a stock becomes, the more crowded it can get. And in today’s market, crowding can happen faster than ever.

That is because millions of investors are now leaning on the same AI tools, the same AI-generated research, the same model portfolios and the same automated trading systems. So, when a stock becomes the obvious AI winner, the crowd can pile in all at once.

That can feel good for a while. It can push a stock higher. It can make everyone feel like they are on the right side of the trade.

But it can also create a dangerous setup.

When retail investors and AI-driven systems rush into the same obvious names, institutional investors often get the liquidity they need to sell into that demand. In other words, the crowd may be buying just as the smart money is quietly moving on.

That is the trap I want to help my readers avoid.

Again, Micron is a great company. I still like it. But the bigger lesson is that by the time a stock becomes obvious to everyone, the elephants of Wall Street may already be looking for the next opportunity.

That is why I do not want to chase the crowd. I want to look for the fresh tracks.

That is what my Precursor Intelligence (P.I.) system is designed to do.

P.I. is my way of looking for fresh tracks in the numbers. It helps me find companies with accelerating fundamentals and improving money flow before they become the obvious names every AI tool is recommending.

In my Accelerated Profits service, we have already seen this approach lead us to several powerful winners in the AI space, including:

• Celestica, Inc. (CLS): – +836%
• Sezzle (SEZL):  +up 625%
• TechnipFMC plc (FTI): +up 254%
• And more…

These are the kinds of gains that can happen when you find the fresh tracks early, before the elephant steps into the clearing.

To further explain how my P.I. system works, I recorded a special presentation. I also discuss why AI-powered crowding could become a serious risk for investors and where I believe the smart money is moving next.

I also reveal several stocks my system is flagging right now.

You can click here to watch it now.

Sincerely,

Louis Navellier

Senior Investment Analyst, InvestorPlace

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

Celestica, Inc. (CLS), Micron Technology, Inc. (MU), NVIDIA Corporation (NVDA), Seagate Technology Holdings plc (STX), Sezzle, Inc. (SEZL) and TechnipFMC plc (FTI)

Jeff Remsburg also owns MU.

The post Micron Was Yesterday’s Win — Here’s How to Find Tomorrow’s appeared first on InvestorPlace.

He was not going there as a tourist.

Roosevelt, his son Kermit and a team of naturalists were traveling on behalf of the Smithsonian Institution. Much of the journey came down to one difficult task:

Tracking elephants.

In the thick African brush, you don’t just wait for an elephant to step into view. By then, it might already be too late.

You had to look for signs: Fresh tracks in the mud. Broken branches. Disturbed grass. A path through the brush that told you something enormous had passed through before you ever saw it.

That is how I think about stocks.

I am not interested in waiting until the whole world can see the elephant. By then, Wall Street has usually figured out the story. The headlines are everywhere. The crowd has shown up. And a lot of the easy money has already been made.

That brings me to Micron Technology, Inc. (MU).

Micron is no longer hiding in the brush. The stock is up 325% year-to-date and 853% over the past year. It became a $1 trillion market cap company last month. And after this week’s blowout earnings report, it is quickly becoming one of Wall Street’s favorite AI stocks.

That did not happen by accident.

It happened because Micron is helping solve one of the biggest problems in artificial intelligence today: The memory bottleneck.

So, in today’s ÃÛÌÒ´«Ã½ 360, we’ll dig into Micron’s blowout quarter, discuss why it matters and then talk about how my system is already helping me find winners from the next phase of the AI boom before the crowd catches on.

Micron Crushed Wall Street’s Expectations

For the past few years, NVIDIA Corporation (NVDA) has been the grand finale of earnings season. But now, I believe Micron has taken that role.

Here’s why.

NVIDIA tells us how strong demand is for GPUs, the chips that power today’s AI systems. But Micron tells us whether those systems can get the memory they need to keep running at full speed.

Micron is one of the world’s largest makers of memory and storage chips. In plain English, its chips help computers and data centers store information, access it quickly and move it where it needs to go.

That may not sound as exciting as a cutting-edge GPU. But without memory, those GPUs cannot do their job.

Think of it like this: A GPU is the engine in a race car. Memory is the fuel line. You can build the most powerful engine in the world. But if the fuel line cannot deliver enough fuel, the engine cannot run at full speed.

That is the bottleneck AI is running into now. AI models are getting bigger. More companies are using AI in the real world. Data centers are being pushed harder. And all of that creates a need for faster, more advanced memory.

That is why Micron’s results matter so much.

The stock surged out of the gates Thursday morning after releasing blowout results for its third quarter in fiscal year 2026. Revenue jumped 73.8% year-over-year to $41.46 billion, while earnings surged a whopping 1,223.1% year-over-year to $28.86 billion, or $25.11 per share.

Wall Street was already expecting a strong quarter. The consensus estimate called for earnings of $20.71 per share on $35.82 billion in revenue. So, Micron posted a 21.2% earnings surprise and a 15.7% revenue surprise.

Micron also issued a stronger-than-expected outlook. For the fourth quarter in fiscal year 2026, the company expects total revenue of about $50 billion and earnings of about $31 per share. That would represent 342% year-over-year revenue growth and 923.1% year-over-year earnings growth.

That tells me this memory boom still has legs.

And management made clear why. The company noted, “Micron’s record fiscal third-quarter financial results and even stronger outlook for the fourth quarter reflect the strategic value of memory in the AI era.”

That last phrase is the key: The strategic value of memory in the AI era.

For years, memory chips were treated like a cyclical commodity business. Important? Yes. Exciting? Not really.

But AI has changed that. Today, memory is becoming one of the most important pressure points in the entire AI buildout. And Micron is standing right in the middle of it.

Is Micron Still Cheap?

Now, I know what some folks are thinking: Can a stock be up this much and still be attractive?

That is a fair question.

For decades, memory was a brutally cyclical business. That’s why, just before to announcing earnings, Micron traded at just nine times forward earnings. That is far below Western Digital Corporation (WDC) and Seagate Technology Holdings plc (STX), which both trade at more than 36 times forward earnings.

The bears say that discount makes sense. They argue that memory is still memory, and this cycle will eventually turn.

I understand that argument, but there is a real case that this time is different.

Instead of short bursts of demand tied to PCs and smartphones, Micron is now tied to the ongoing buildout of AI data centers. And those data centers need massive amounts of high-performance memory.

Micron’s long-term supply agreements support that idea. ÃÛÌÒ´«Ã½Watch reported that Micron has signed 16 strategic customer agreements, and 14 of them include pricing that represents about $100 billion in cumulative revenue, minimum.

That kind of visibility is something memory companies didn’t always have. So, there is a strong argument that this run may not be over yet.

The Trap Investors Need to Avoid

That said, I have been around long enough to know what happens when a trade gets too crowded.

The more popular a stock becomes, the more crowded it can get. And in today’s market, crowding can happen faster than ever.

That is because millions of investors are now leaning on the same AI tools, the same AI-generated research, the same model portfolios and the same automated trading systems. So, when a stock becomes the obvious AI winner, the crowd can pile in all at once.

That can feel good for a while. It can push a stock higher. It can make everyone feel like they are on the right side of the trade.

But it can also create a dangerous setup.

When retail investors and AI-driven systems rush into the same obvious names, institutional investors often get the liquidity they need to sell into that demand. In other words, the crowd may be buying just as the smart money is quietly moving on.

That is the trap I want to help my readers avoid.

Again, Micron is a great company. I still like it. But the bigger lesson is that by the time a stock becomes obvious to everyone, the elephants of Wall Street may already be looking for the next opportunity.

That is why I do not want to chase the crowd. I want to look for the fresh tracks.

That is what my Precursor Intelligence (P.I.) system is designed to do.

P.I. is my way of looking for fresh tracks in the numbers. It helps me find companies with accelerating fundamentals and improving money flow before they become the obvious names every AI tool is recommending.

In my Accelerated Profits service, we have already seen this approach lead us to several powerful winners in the AI space, including:

• Celestica, Inc. (CLS): +up 836%
• Sezzle, Inc. (SEZL):  +up 625%
• TechnipFMC plc (FTI): +up 254%
• And more…

These are the kinds of gains that can happen when you find the fresh tracks early, before the elephant steps into the clearing.

To further explain how my P.I. system works, I recorded a special presentation. I also discuss why AI-powered crowding could become a serious risk for investors and where I believe the smart money is moving next.

I also reveal several stocks my system is flagging right now.

You can click here to watch it now.

Sincerely,

Louis Navellier

Editor, ÃÛÌÒ´«Ã½ 360

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

Celestica, Inc. (CLS), Micron Technology, Inc. (MU), NVIDIA Corporation (NVDA), Seagate Technology Holdings plc (STX), Sezzle, Inc. (SEZL) and TechnipFMC plc (FTI)

The post Missed Out on Micron? My System Can Find the Next Big AI Winner appeared first on InvestorPlace.