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AI & Finance

Michael Burry Questions AI Bubble; NVDA, SMCI Volatility Noted

Michael Burry, known for 'The Big Short,' has publicly voiced concerns about a potential AI sector bubble, drawing parallels to past market exuberances.

p
pedro.marini
May 19, 2026 · 5 min read
Michael Burry Questions AI Bubble; NVDA, SMCI Volatility Noted

Illustration by IMF Alpha editorial · Reviewed by pedro.marini

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Michael Burry is not the kind of investor Wall Street can easily ignore.

When the investor made famous by The Big Short raises concerns about speculative behavior, markets tend to listen — not because he is always right on timing, but because he has built his reputation by questioning narratives that most investors were too excited to challenge.

This time, the narrative is artificial intelligence.

The AI boom has become the dominant story in financial markets. NVIDIA, Microsoft, Alphabet, Amazon, Meta and other technology giants have attracted massive investor attention as Wall Street tries to price what could become one of the most important technological shifts of this century.

But that is exactly where the risk begins.

The problem is not AI itself. Artificial intelligence is real. The productivity gains are real. The infrastructure buildout is real. Companies are spending billions on chips, data centers, cloud capacity and AI models because they believe this technology will reshape entire industries.

The problem is price.

Markets often confuse a revolutionary technology with an unlimited investment opportunity. History shows that both things can be true at the same time: a technology can change the world, and investors can still overpay for it.

That was the lesson of the dot-com bubble.

The internet was not fake. It transformed the global economy. But many internet stocks were priced as if every company would become the next Microsoft. Most did not. The technology survived. Many investors did not.

That is the uncomfortable comparison now surrounding AI.

NVIDIA has become the symbolic center of the AI trade. Its chips power much of the current AI infrastructure boom, and its earnings growth has been extraordinary. But when a single company becomes the emotional anchor of an entire market narrative, investors should pay attention.

The same applies to the broader group of AI-linked stocks. Super Micro Computer, AMD, Palantir, Microsoft, Alphabet, Amazon and Meta have all benefited in different ways from AI enthusiasm. Some have strong fundamentals. Others are being valued more on future expectations than current results.

This is where Burry’s warning becomes relevant.

He is not necessarily saying that AI is a fraud. The more important point is that investor psychology may be moving faster than business reality. When valuations expand too quickly, even great companies can become dangerous investments.

The market is also increasingly concentrated. A large portion of recent index gains has come from a small group of mega-cap technology stocks. That creates a fragile structure. If earnings disappoint, if AI monetization takes longer than expected, or if interest rates remain higher for longer, the same stocks that lifted the market could become the source of its weakness.

There is also a deeper question investors need to ask:

How much of today’s AI spending will generate real returns?

Big Tech is pouring capital into data centers, chips and infrastructure. But not every dollar spent on AI will produce profitable growth. Some of this investment will create enormous value. Some of it may simply become the cost of staying competitive.

That distinction matters.

A company can invest heavily in AI and still fail to generate attractive returns on that capital. For investors, the real question is not whether AI is important. It is whether today’s stock prices already reflect too much of tomorrow’s optimism.

In my view, the AI boom is not a simple bubble — at least not yet. It is more complex than that. We are likely witnessing a real technological revolution wrapped inside a speculative market cycle.

That makes it dangerous.

The best opportunities may still come from AI, but not every AI-related stock deserves a premium valuation. Investors need to separate three groups:

First, companies with real earnings power from AI.

Second, companies using AI as a marketing narrative.

Third, companies whose valuations already assume a nearly perfect future.

The danger is mostly in the third group.

Burry’s warning should not be interpreted as a signal to avoid AI entirely. Instead, it should be read as a reminder that great themes do not automatically create great investments.

AI may change the world.

But investors still need discipline.

Because in markets, the future can be right — and the price can still be wrong.

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