Michael Jensen
Hello, everyone If you’ve been following my updates over the past months, you know I’ve been warning that the AI trade was becoming extremely crowded. Not wrong — just overcrowded. And when positioning gets that one-sided, it doesn’t take bad news to trigger rotation. It just takes a shift in expectations. We’re starting to see exactly that. Let’s begin with $GOLD because the move there is more telling than it looks. Precious metals pulled back, largely due to seasonal demand pauses in Asia. When a major marginal buyer temporarily steps aside, price cools — simple mechanics. But here’s the interesting part: gold relative to the $NSDQ100 has quietly strengthened this year. That’s not about jewelry demand; that’s capital hedging tech concentration risk. And that connects directly to what’s happening in equities. We’re entering a new wave of global AI model releases, and the key theme isn’t just innovation — it’s cost efficiency. Lower inference costs, more modular systems, increasing open-source competition. For users, that’s great. For mega-cap tech margins, it introduces questions. For over a year, valuations have been built on massive AI capex, data center expansion and the assumption of premium pricing power. But if AI becomes cheaper and more accessible faster than expected, margins compress. And when margins compress, multiples follow. That’s how narratives change. We’re already seeing technical deterioration. Several mega-cap names are no longer in clean uptrends. Some are below key moving averages, and leadership has narrowed. This isn’t panic selling. It’s repositioning — the kind that happens when capital begins to reassess risk-reward. Interestingly, companies that didn’t aggressively burn billions on AI infrastructure may now look more disciplined than late to the party. In hype cycles, capital efficiency often outperforms raw spending. That’s a theme I’ve emphasized repeatedly — and it’s becoming increasingly relevant. Zooming out, the macro backdrop isn’t providing much cushion. China is advancing technologically, but its property market remains weak, which limits credit expansion and consumption. In the US, the issue isn’t asset collapse — it’s affordability. Consumers still feel the pressure from elevated living costs. That doesn’t create a recession overnight, but it does cap upside enthusiasm. So we currently have stretched AI expectations, early signs of margin compression risk, fragile global consumption and technical fatigue in leadership stocks. That combination doesn’t scream crash — but it also doesn’t justify blind optimism. The recent rally lacked fundamental confirmation. It felt like relief, not conviction. And as I’ve said before, relief rallies without structural improvement tend to stall. Now we’re in consolidation mode. If AI excitement regains momentum, indices can push higher again. But if margin concerns gain traction, we could see a broader leadership reset within the $SPX500 and Nasdaq. This is a transition phase — and being early in recognizing rotation is far more valuable than reacting to it after it becomes obvious. Clear & Simple Recap Gold cooled mainly because seasonal Asian demand paused, but more importantly, capital is quietly diversifying away from extreme tech concentration. AI is getting cheaper globally, which is good for innovation but potentially challenging for mega-cap profit margins. Several large tech stocks are losing technical strength, and consumers remain under pressure both in the US and abroad. In short: the market is shifting from pure AI euphoria toward a more critical evaluation of profitability and return on investment. That’s not bearish — it’s healthy. But it requires selectivity and discipline. And if you’ve been reading my updates, this rotation shouldn’t come as a surprise. $NVDA (NVIDIA Corporation) $TSLA (Tesla Motors, Inc.)
3 replies
null
.