蜜桃传媒s rarely move at random. InvestorPlace鈥檚 leading analysts break down macro trends, sector dynamics, and recurring market patterns to help investors understand what is changing, what matters most, and where opportunities may emerge.
Every major technological shift has a moment when skeptics declare it over. Today, artificial intelligence finds itself in a similar moment. My InvestorPlace colleague Louis Navellier and I agree: AI is not contracting. It is transitioning.
To give you a sense of these 鈥淕olden Rivet鈥� makers Eric discusses in his latest presentation,聽I鈥檇聽like to highlight two companies at the forefront of the AI bottlenecks鈥� and that have been overlooked by Wall Street聽almost entirely聽so far.
Beneath the surface of the AI boom, a series of hidden supply bottlenecks is beginning to tighten. And unlike interest rates or inflation data, which tell you what already happened, these bottlenecks are shaping what happens next.
In today鈥檚 guest essay, Eric explains specific bottlenecks that created massive gains during past tech booms, and why the same dynamic may now be unfolding again.
AI may look like a software story. But in reality, it depends on physical inputs 鈥� and those don鈥檛 always keep up with demand. One place this is already showing up is in memory. My colleague Eric Fry believes this could become one of the most important factors in the next phase of the AI boom.
In today鈥檚 蜜桃传媒 360, I鈥檒l explain why the 鈥減eak AI鈥� crowd still has this story wrong, why NVIDIA remains one of the great companies of our time, and why the biggest profits in the next phase of this boom may go not just to the household names, but also to the companies controlling the key bottlenecks.
Since the U.S. attacked Iran on February 28, investors have poured a net $685 million into USO alone, reversing a negative $682 million outflow since 2024. Today, I鈥檇 like to show you why this rush into USO 鈥� and the way retail investors are playing oil in general 鈥� could be a mistake. Then, I鈥檒l explain why your attention should be pointed elsewhere. It鈥檚 an investing approach you won鈥檛 regret.
The Fed holds rates steady鈥� plenty of unknowns as we look ahead鈥� an area of the market acting independently of the Fed and interest rates鈥� another red flag in private credit鈥� 鈥渇ollow the money鈥� into AI bottlenecks
Micron鈥檚 memory technology is used, among other places, in artificial intelligence, data centers, computing, autos, and mobile devices. Today, the company is rallying as demand for its memory chips soars. The memory-chip shortage shows no signs of easing, with the tech industry鈥檚 top players spending record sums to stay competitive in the AI race. That means memory companies could be among the next wave of AI stock winners.
The S&P is stuck in neutral鈥� one corner of the market that鈥檚 soaring鈥� the other lucrative bottlenecks鈥� financials are warning us鈥� when is Bitcoin a 鈥渂uy鈥�?
My colleague Eric Fry has spent decades studying how major trends play out and how investors can profit. And he says nearly everyone is looking at AI the wrong way right now. I completely agree.
I thought I was one of only a few contrarian voices speaking about AI鈥檚 emerging bottlenecks. But I鈥檓 actually joined by a growing chorus of voices behind Wall Street鈥檚 closed doors.
In this week鈥檚 蜜桃传媒 Buzz, we discussed the latest revision to U.S. GDP, how the situation in the Strait of Hormuz is evolving and the recent slowdown in consumer spending 鈥� and why seasonal factors, like winter weather, may be playing a role.
Jonathan Rose鈥檚 POET trade keeps climbing鈥� he expects a multi-bagger鈥� copper versus fiber in datacenters鈥� Luke Lango with the datacenter investing sequence鈥� why Eric Fry keeps urging investors to look at copper鈥� how to take advantage of bottlenecks
There鈥檚 a fundamental change in compute needs thanks to the rise of agentic AI. Because AI agents are task-oriented, CPUs are the ideal fit for running them, as they have fewer powerful cores than GPUs when running consecutive general-purpose tasks. And Nvidia is once again ready to profit from this shift.
