Michael Burry Expands Short Positions Betting on AI Bubble Burst
Michael Burry, famed for predicting the 2008 financial crisis, has significantly increased his short positions against the artificial intelligence (AI) sector. His new short bets include Tesla, Caterpillar, chipmaker Applied Materials, and an exchange-traded fund (ETF) tracking semiconductor stocks. These positions aim to profit if the current enthusiasm for AI fades. Burry highlighted concerns over massive investments in AI, citing recent announcements by South Korean tech giants Samsung and SK Hynix to invest over $500 billion in a new chip manufacturing center. He described this spending as "the beginning of the end" for the AI hype.
Burry's short positions also involve options on the SOXX ETF, which tracks semiconductor stocks such as Micron Technology and AMD. He expects the ETF to drop by a third by March to yield profits. Additionally, he has shorted Caterpillar, whose equipment is used in data center and chip production facilities, and Tesla, setting a price target of $416.22 per share. Burry has also increased his short on Nvidia, a leading AI chipmaker, citing concerns over circular financing that could trigger a dot-com style collapse. He previously predicted significant declines for Nvidia and Palantir by 2027, criticizing Palantir's heavy reliance on government contracts.
These bearish bets come amid a sensitive period for the AI industry, with the U.S. government intervening in Anthropic's Mythos model launch over national security concerns and companies like Microsoft introducing cheaper AI alternatives. Despite Burry's warnings, Nvidia remains the world's most valuable company, trading only 5% below his short entry point, while Palantir's stock has fallen 40%. Burry's critiques have drawn sharp responses from the targeted companies, with Nvidia denying financing issues and Palantir's CEO calling Burry "completely crazy." Neither Burry nor the companies responded to recent requests for comment.
Burry's growing short positions reflect his skepticism about the sustainability of current AI valuations and the potential risks investors are overlooking in the sector's rapid rise.
