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Reading: Former ‘Big Short’ Trader Warns of AI Market Bubble Amid Ongoing Tech Boom
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Former ‘Big Short’ Trader Warns of AI Market Bubble Amid Ongoing Tech Boom

News Desk
Last updated: December 21, 2025 11:20 am
News Desk
Published: December 21, 2025
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In a climate ripe with speculation about the artificial intelligence (AI) market, Danny Moses, a former trader at FrontPoint Partners and a notable figure in the financial world, has provided critical insights on the evolving landscape. His comments come as the AI boom prompts finance professionals to grapple with pressing questions: Is there a bubble in the AI market? If so, how does it compare to the dot-com era of the early 2000s?

Moses unequivocally believes that the answer to both queries is affirmative. While acknowledging the genuine growth potential within the AI sector, he draws parallels to the tech explosion that characterized the turn of the millennium, suggesting caution for investors. “The growth was real, but the math didn’t work,” he remarked, indicating a growing concern that the financial fundamentals underpinning many AI investments could be faltering.

Despite his cautious stance, Moses clarified that he is not advocating for shorting the AI sector. Instead, he urges investors to conduct thorough research and focus on established tech giants capable of weathering market fluctuations. He highlights companies such as Amazon, Google, Meta, and Microsoft, which possess the resources necessary to scale and remain profitable even amid changing economic conditions. “They can turn down their capex at any point, and they’re still cash flowing positive,” he stated, contrasting these behemoths with smaller firms dependent on consistent AI spending.

However, Moses does express skepticism about certain major tech players, specifically pointing to Oracle’s high debt levels and the capital it will require to satisfy client orders. He also raised concerns about more volatile stocks like Super Micro Computer and CoreWeave, categorizing them as riskier ventures within the AI sphere.

Moses observed a clear trend among investors, noting that they are becoming increasingly discerning about the AI stocks they choose, recognizing that not all are created equal. “I think it’s proof that investors are beginning to sort out the winners and losers of the trade,” he remarked. This shift suggests a preference for companies with stronger balance sheets, as investors gravitate toward firms that can provide a more stable investment during tumultuous periods.

On a different note, Moses expressed optimism about uranium, citing its potential significance in the infrastructure needed for the AI industry’s growth. He cautioned, however, that the timeline for uranium’s role to influence the AI market is often misunderstood. “There’s a mismatch in the timing of how people think that companies will experience AI growth and actually the infrastructure that it’s going to take to power it,” he explained, emphasizing the need for investors to align their expectations accordingly.

As the AI market continues to evolve, Moses’s insights serve as a call for vigilance among investors, encouraging them to remain astute and informed as they navigate this dynamic landscape.

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