Markets rarely move at random. InvestorPlace’s 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.
The Fed holds rates steady… plenty of unknowns as we look ahead… an area of the market acting independently of the Fed and interest rates… another red flag in private credit… “follow the money” into AI bottlenecks
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.
The S&P is stuck in neutral… one corner of the market that’s soaring… the other lucrative bottlenecks… financials are warning us… when is Bitcoin a “buy”?
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’s emerging bottlenecks. But I’m actually joined by a growing chorus of voices behind Wall Street’s closed doors.
Jonathan Rose’s POET trade keeps climbing… he expects a multi-bagger… copper versus fiber in datacenters… Luke Lango with the datacenter investing sequence… why Eric Fry keeps urging investors to look at copper… how to take advantage of bottlenecks
In this week’s Market 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 – and why seasonal factors, like winter weather, may be playing a role.
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.
By
Thomas Yeung, CFA, InvestorPlace Markets Analyst
At its core, the former gatekeepers of AI technologies are quickly seeing their dominance vanish... some from supply chains catching up, and others due to AI itself.
In today’s Smart Money, let's walk you through some emerging bottlenecks in AI, and I'll show you why they could determine which companies win the next phase of the AI boom.
The AI era is moving faster than anything we’ve seen in market history. Investors who want to stay ahead of the megatrends that can create wealth need a different framework for identifying the companies entering their most explosive growth phases.
Right now, the bull market isn’t broad — it’s just concentrated in key assets like energy stocks, crude, and industrial metals.
When volatility spikes across these asset classes at the same time, it tells you something important: institutional capital is repositioning away from risk in droves.
As I’ve often said, the biggest gains during a technological revolution don’t always come from the companies building the technology itself. They often come from the bottlenecks – the industries supplying the infrastructure that makes the new technology possible. According to my colleague Eric Fry, that same pattern has appeared again and again throughout market history.
The AI revolution requires enormous amounts of critical materials. When demand outruns supply, bottlenecks form – and the companies controlling those choke points can become some of the market’s biggest winners.
In this guest essay below, Eric Fry explains how the first major bottleneck of the AI boom – a shortage of computing power – helped drive huge gains for companies like NVIDIA and Broadcom. More importantly, he explains why that was likely only the beginning...
JPMorgan writes down software loans… the risk of private lending and AI… what to make of Oracle’s rally yesterday… why caution is the right response… Eric Fry says this is where the next AI boom will take place
