The shift away from tech at the height of its dominance is a profitable one that we’ve seen play out before. In today’s Smart Money, I’ll explain how I used this strategy in the dot-com era… and why I’m using it again today.

Louis and I don’t always see eye to eye, especially when it comes to a stock like Nvidia. But that’s what makes our conversation so valuable. You get two different ways of looking at the same market. I look at big-picture trends that drive huge, multiyear moves in entire sectors of the market. On the other hand, Louis focuses on the stocks already showing strong fundamentals and momentum.

The short-term story for copper is simple; demand is growing faster than expected, supply is growing slower than expected, and the market is already slipping into deficit.

In today’s issue, InvestorPlace Senior Analyst Brian Hunt uses a simple Easter egg hunt analogy to illustrate a powerful truth: the fewer competitors you have, the better your odds of finding outsized opportunities.

In today’s Smart Money, let’s examine the latest AI developments that are leading the push toward AGI. Then, I’ll share my three-part investment strategy you need to know before we’re fully submerged in the AI waters.

Oil prices are not merely high, they are thrashing around wildly from day-to-day. But even though oil is grabbing most of the headlines, it is not the only commodity under the thumb of the Iran conflict. It turns out that when a butterfly flaps its wings in the Straight of Hormuz, a tsunami of chaos sweeps over nearly every commodity industry in the world.

Today, Louis is joining us to explain why a key deadline — June 30 — could force long-hidden problems into the open. That’s when certain funds will have to mark their assets more realistically, potentially revealing losses that have been building for months.

When most investors hear the word “crisis,” they think about danger. But every crisis on Wall Street has another side: Opportunity.

We can't predict the exact contours of energy markets. A handful of individuals are now dictating where oil prices go, and even they don’t seem to know what’s coming next. However, there is logic behind a buy-and-hold strategy in energy and commodity stocks.

My colleague Louis Navellier has flagged a potential “black swan.” It's the private credit market — a $3 trillion corner of finance where problems can grow out of sight. Louis is joining us today to walk you through what’s happening inside the private credit market, why it matters right now, and what it could mean for your portfolio.

In today’s Smart Money, we’ll unpack how this shift is redefining Meta’s broader AI strategy and further examine the widespread deployment of AI agents. Then, before AI agents enter every C-suite, I'll reveal how the best course of action is not to invest in the firms developing those agents… but in the companies powering them.

I like to remind readers that good things tend to happen to cheap stocks, while bad things tend to happen to pricey stocks – no matter how serene or chaotic the world might be.

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.

Today, let’s dive into the latest change on the AI block – the rise of agentic AI – and what it means for where the smart money flows next.

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’d like to show you why this rush into USO – and the way retail investors are playing oil in general – could be a mistake. Then, I’ll explain why your attention should be pointed elsewhere. It’s an investing approach you won’t regret.

Micron’s 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’s 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.

I thought I was one of only a few contrarian voices speaking about AI’s emerging bottlenecks. But I’m actually joined by a growing chorus of voices behind Wall Street’s closed doors.

There’s 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.

In the 1990s, the explosion of internet infrastructure, personal computers, and networking hardware meant the world suddenly needed far more metals than usual. The result was a classic supply bottleneck. From 1998 to 2001, I recommended four mining stocks to my readers that went on to generate remarkable gains. And this same bottleneck is happening again.