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Burry Bets $1.1B Against Nvidia, Palantir in AI Short
Michael Burry's $1.1 billion put options target Nvidia and Palantir amid concerns over an AI bubble despite Nvidia's 54% stock surge this year, regulatory filings show.
- On Monday, a regulatory filing showed Scion Asset Management bought put options on Nvidia and Palantir, disclosing trades added in the quarter ending September 30.
- Michael Burry returned to X with posts warning that AI enthusiasm may be a bubble, comparing AI spending and tech titans to the dot‑com bubble and writing that `Sometimes, we see bubbles`.
- Scion Asset Management's third-quarter filing lists a 5,000,000-share equivalent put on Palantir worth $912,000,000 and a 1,000,000-share equivalent put on Nvidia valued at $186,600,000.
- Palantir and Nvidia slid after the disclosure, sparking a tech sell‑off this week as Palantir Technologies shares fell 8% and Nvidia 4%, with Alex Karp, Palantir chief executive, denouncing the short position as egregious.
- With Palantir up 174% this year, debate has intensified over whether AI valuations are a bubble, as Nvidia has risen more than 13-fold, raising concerns of a correction in recent weeks.
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One of The Short Sellers Who Predicted The 2008 Housing Crisis Now Looks to Be Betting Against AI
Michael Burry, an investor made famous by his bets against the U.S. housing market before the 2008-2009 crash who was portrayed by Christian Bale in 2015's The Big Short, appears to have a new short target: the artificial intelligence industry.
Michael Burry Returns With Two Big Shorts: Palantir and Nvidia
Signs of an AI bubble abound: Stock valuations have become uncomfortably rich, AI-related debt is ballooning, and a sustainable financial model for the technology has largely yet to emerge. Now Michael Burry, the investor who famously predicted the subprime-mortgage bubble bursting two decades ago, is betting that two stocks at the heart of the artificial-intelligence trade are set for a fall. Burry, who became widely known after Michael Lewis p
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Total News Sources137
Leaning Left15Leaning Right20Center27Last UpdatedBias Distribution44% Center
Bias Distribution
- 44% of the sources are Center
44% Center
L 24%
C 44%
R 32%
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