Big Short Investor Steve Eisman Warns AI Trade Relies Heavily on OpenAI and Anthropic

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Famous 'Big Short' investor Steve Eisman warned that the artificial intelligence trade is critically dependent on two private firms, OpenAI and Anthropic. In an interview, Eisman stated that the entire tech ecosystem and U.S. economy rely on these companies, which are currently burning billions of dollars. He labeled OpenAI as the weaker entity due to decelerating revenue growth combined with soaring expenses. Eisman cautioned that any deceleration in corporate AI spending could trigger a massive selloff across the broader technology sector. Furthermore, he noted that a sudden collapse of OpenAI could potentially drive the U.S. economy straight into an immediate recession and prompt a significant market correction. While first-half revenue trends remain stable, upcoming quarters will truly test corporate spending limits as token-maxing behavior fades.

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Steve Eisman, protagonist of The Big Short, warned that the current AI theme is overly dependent on two private companies, OpenAI and Anthropic. OpenAI shows a fragile financial structure, with costs surging by $3 billion while revenues increased by $10 billion. Investors must exercise caution, as a slowdown in corporate AI spending or issues at these companies could lead to a sharp decline in the entire tech sector and an economic downturn.

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Concerns over the deteriorating financial health and slowing spending of OpenAI and Anthropic could directly impact the revenue growth valuations of major tech stocks, including NVIDIA (NVDA). In particular, as the era of token maxing ends and companies begin to prioritize cost efficiency, second-half earnings are expected to be a critical turning point.

Key indicators moving forward include the IPO progress and financial disclosures of these companies, as well as pricing competition with Chinese open-weight models. If a sharp drop in AI spending or bankruptcy risks materialize, a massive sell-off and market correction across tech stocks could occur, necessitating conservative risk management.

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