Michael Burry switches Nvidia (NVDA), Micron (MU), and Palantir (PLTR) shorts to puts, says the AI bubble could burst within a year

Nvidia, Micron, and Palantir logos above a falling red line, with the headline Michael Burry swaps his AI stock shorts for puts

Key points

  • Burry replaces AI stock shorts with puts
  • He's moved his timeline up from 2028
  • Micron reported two days after his post

Michael Burry has replaced his short positions in Nvidia (NVDA), Micron (MU), and Palantir (PLTR) with put options, betting that the AI bubble bursts within the next year. "As of today, put options completely replaced my short positions," the investor of "The Big Short" fame wrote in a Substack post on Monday.

Burry was already short all three stocks, so the bets themselves aren't new. The timing is. "Fundamentally, I am moving timelines up," he wrote. "As such, I want more leverage in my short positions."

What did Burry buy?

A put gives its owner the right to sell a stock at a specified price by its expiration date. Its value can rise as the stock falls, but the buyer can lose the entire premium if the option expires worthless.

Burry's Nvidia puts expire in September 2027 at strikes in the mid-$100s, according to Stocktwits' summary of the post. Nvidia closed Wednesday at $228.38, so those strikes sit roughly a third lower. His Palantir puts, also September 2027, are struck in the low $100s, against Wednesday's close of $187.05.

The Micron puts expire in June 2027 at strikes around $500, roughly half Wednesday's closing share price of $1,065.11.

He made the same switch in Nebius (NBIS), Oracle (ORCL), Caterpillar (CAT), and the iShares Semiconductor ETF. He covered his CoreWeave short but hadn't found puts at an attractive price. His Nasdaq 100 puts expire next September and have strikes in the 24,000s, about 20% below the index's Wednesday close of 30,408.50.

Why did he move his timeline up?

Burry said some of the trading was for tax-loss harvesting, but the "majority of it was motivated by research this past weekend." That research convinced him "the bubble in AI may burst sooner than later."

He had previously called 2028 his base case. Now he's "more confident than ever before" his thesis will "play out over the next year," Business Insider reported. His argument is about financing. "If the spending stops or slows, it all comes apart," he wrote, adding that the money is "increasingly debt, with strings attached."

Last week, he argued that the biggest cloud companies depreciate their AI chips over too many years.

What has Micron reported since?

Two days after the post, Micron reported fiscal fourth-quarter revenue of $54.2 billion and said its customer agreements carry about $150 billion in contracted future revenue. Chief Executive Sanjay Mehrotra said Micron doesn't have "line of sight to when supply and demand will return to balance."

Burry first shorted Micron on July 2, when the stock was at $1,052. We tracked how that bet and his others have done in our guide to his positions.

Frequently asked questions

Did Michael Burry buy puts on Nvidia, Micron, and Palantir?

Yes. In a Substack post on September 28, 2026, Michael Burry said he covered his short positions in Nvidia, Micron, Palantir, and several other stocks and replaced them with put options. He said he wanted more leverage because he is moving his timeline for an AI bubble up.

What are the strike prices on Michael Burry's Nvidia and Micron puts?

Burry's Nvidia puts expire in September 2027 with strikes in the mid-$100s, and his Micron puts expire in June 2027 with strikes around $500, according to summaries of his September 28 post. Nvidia closed at $228.38 and Micron at $1,065.11 on September 30, 2026.

When does Michael Burry expect the AI bubble to burst?

Burry previously called 2028 his base case. In late September 2026, he said he was more confident than ever that his thesis would play out over the next year and that the AI bubble may burst sooner than later.

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Dennis Singleton
Dennis Singleton

Dennis Singleton was born in Australia and later moved to the United States. He has spent years following the markets, but what keeps his attention is how AI is built. He writes about the companies behind the technology, from semiconductor designers and advanced packaging to photonics, memory, networking, and the hardware powering modern AI. His approach starts with filings, earnings, and industry research, then translates the important details into clear, straightforward analysis without unnecessary hype.