Michael Burry: AI Bubble and a Bigger "Big Short"

Michael Burry closed his hedge fund, Scion Asset Management, for many reasons, primarily stemming from his deep skepticism about current market valuations and the challenges of managing a highly scrutinized, contrarian fund in the current environment. The Securities and Exchange Commission’s database shows Scion’s registration status as “terminated” as of November 10.

In a post on the social media platform X, Burry stated, “On to much better things Nov 25th.”

In a letter to investors, Burry wrote that his “estimation of value in securities is not now, and has not been for some time, in sync with the markets.” This suggests he believes many stocks are significantly overvalued, making it difficult to find attractive investment opportunities for his clients.

If he can’t find good stocks to buy at a reasonable price, he can’t make money for his clients. He said in an interview, “I think the whole thing’s just going to come down. And it would be very hard to be in long stocks in the United States and protect yourself. And so that’s why I decided to get out.”

This decision makes sense, but it’s a complicated one. In simple terms, it’s about freedom and privacy versus managing other people’s money.

Michael Burry is famous for being a contrarian, meaning he makes money by betting against what everyone else believes (like betting against the housing market in 2008). He believes the stock market, especially large tech stocks (AI, cloud providers), is in an overvalued bubble. He’s said that his “estimation of value… is not now… in sync with the markets.”

A big part of this disconnect, according to Burry, is that AI-sector fundamentals simply do not justify current valuations. Many AI-focused companies are priced as if exponential revenue growth is guaranteed, yet actual monetization remains limited. Most AI products are still in early adoption stages, and many aren’t generating profits proportional to their skyrocketing market caps.

Additionally, AI model training and inference require massive capital expenditures. Cloud providers and tech giants are spending tens of billions on data centers, specialized cooling systems, and, most importantly, Nvidia GPUs hardware that does not generate immediate or predictable cash flow.

This mismatch between massive upfront spending and uncertain long-term profits is a core reason Burry believes AI valuations have outpaced reality.

Because Scion Asset Management managed over $100 million for outside investors, the U.S. Securities and Exchange Commission (SEC) required it to be a Registered Investment Advisor (RIA). Being an RIA means public disclosure. Specifically, Scion had to file a form (called a 13F) every quarter that listed its major stock holdings.

As a high-profile investor, his public filings were instantly analyzed by the media and retail traders. This made him a huge target for copy-trading or “front-running,” which could undermine his long-term strategy.

By deregistering and closing the fund to outside money, he no longer manages the $155 million in client assets. This means he is no longer required to file those public reports. He can now manage his personal wealth in a private vehicle (often called a “family office”) and operate in secret, which is exactly what a contrarian investor needs to be successful.

Burry claims that major cloud companies (like Microsoft, Google, and Meta) are using an accounting trick by saying their new, expensive AI hardware (Nvidia chips, servers) will last for 5-6 years instead of a more realistic 2-3 years.

When a company estimates an asset will last longer, it spreads out the cost (depreciation expense) over more years. This makes their current year’s profits look higher than they really are.

This connects directly to another fundamental weakness Burry sees: reliance on extremely costly Nvidia chips could strain financials in the long term. If depreciation assumptions are overly optimistic, companies may be hiding the true burn rate of the AI boom. The moment they shorten useful-life estimates or replace hardware faster than expected reported profits could collapse.

This means today’s AI-driven earnings might not just be inflated but potentially unsustainable.

He believes this inflated profit is masking the true, massive cost of the AI boom, and the market will eventually realize this, leading to a crash in the stock prices of the companies buying and selling the equipment.

With this backdrop overvaluation, accounting distortions, and unsustainable capital expenditures Burry’s next move becomes easier to understand. His strategic exit from public reporting wasn’t just about privacy; it directly set the stage for his market positioning.

He is strategically positioning himself in the shadows, unburdened, to wait for the systemic collapse he is predicting. The size of the potential profit is directly tied to the scale of the disaster he is betting on. If his prediction about the AI bubble and the $176 billion accounting time bomb is correct, the resulting market correction could be massive.

“Waiting to See the Fall” Strategy

The Financial Calculus: A Bigger “Big Short”

Before disappearing into private markets, Burry had already begun quietly building his position. And this is where his short exposure becomes crucial not as a separate topic, but as a continuation of his broader strategy.

Before he closed the fund, his public filings revealed a highly concentrated and massive bearish bet against key stocks in the AI boom, including Nvidia and Palantir, with a notional value well over $1 billion.

When a short position (a bet that a stock will fall) is public, other traders can easily trade against the short seller, driving the price up and forcing the short seller to take a loss.

If he is right, the fall of a sector that accounts for a huge portion of the S&P 500’s recent gains (like the AI stocks) would trigger a broad market crash. His secretive position would then multiply his wealth exponentially, potentially making a personal profit many times larger than his 2008 gain.

His exit is the strongest possible signal that he has placed his huge bet and is moving “off the grid” to wait for it to pay off without regulatory scrutiny or client interference. Going dark just confirms his bearish trade in the long term one that he cannot afford for the public market, the media, or short-sellers to track.

He is now free to position himself for the severe downturn he is predicting, unburdened by the system he is betting against.

All of this is interesting, but what scares economists and investors is “the big fall” a bigger one we’re all worried about.

✓ Verified: This entry was personally compiled and reviewed by Milan Ignjatovic using primary sources.

Founder & Sole Curator, Bankinfobook | Master Manager of ICT · Graduated Economist

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