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Big Short Investor Eisman Sees AI Boom's Fatal Flaw: Two Startups

Big Short Investor Eisman Sees AI Boom's Fatal Flaw: Two Startups

Key takeaway

  • Steve Eisman has identified a critical vulnerability in the AI boom: the largest US technology companies depend heavily on just two startups—OpenAI and Anthropic—for AI revenue and cloud growth, while cheaper Chinese open-source models are winning customers and risk triggering a price war that could undermine the entire trade.

  • Eisman has already sold his Google stake to reduce AI exposure, joining other prominent skeptics like Michael Burry in betting against the sector.

3 Key Points

  1. What happened

    Steve Eisman, the investor known for shorting subprime mortgages, told CNBC that OpenAI and Anthropic represent roughly 70% of AI-related revenue at Microsoft, Amazon, Alphabet's Google, and Oracle, and 25% to 35% of cloud revenue at those four companies. He argued the largest US tech firms' futures now rest on whether these two startups succeed.

  2. Why it matters

    Eisman warned that Chinese open-source AI models, which cost far less, are gaining market share and could trigger a price war that would damage the sector. He sold his Google stake last month and moved to cash to reduce his exposure to AI, signaling concern about the concentration risk in the AI trade.

  3. What to watch

    Michael Burry, who famously shorted subprime mortgages before the 2008 crash, has also grown skeptical—he is short on iShares Semiconductor ETF (SOXX), Micron, Nvidia, and other AI-related holdings, and has forecasted that US stocks could suffer a 1987-type crash. Not all observers agree; BitMine Chairman Tom Lee reads AI capex (capital expenditure) fear as bullish.

In Depth

Read the full story

Steve Eisman, the investor known for correctly predicting the 2008 subprime mortgage crisis and profiting from it (the subject of the film "The Big Short"), has publicly cautioned against a fundamental weakness in the current AI investment thesis. Speaking on CNBC's Fast Money, Eisman made the case that the boom in artificial intelligence is underpinned by an unhealthy concentration of revenue and risk.

Eisman estimates that OpenAI and Anthropic together account for roughly 70% of AI-related revenue flowing to four of the largest US technology companies: Microsoft, Amazon, Alphabet's Google, and Oracle. The same two startups represent 25% to 35% of cloud revenue at those companies. This dependency means that "the futures of these massive companies, in a sense, are a bet that OpenAI, Anthropic are going to succeed," Eisman explained. The concern is acute because it creates a single point of failure: if either startup stumbles, or if the assumptions underpinning their valuations prove wrong, the entire AI revenue narrative for these four giants could unravel.

The more immediate threat, in Eisman's view, comes from Chinese competition. He highlighted that Chinese open-source AI models are far cheaper than their US counterparts and are beginning to win customers. If this trend accelerates, Eisman warned, it could trigger a sector-wide price war. "If they start really taking a lot of market share ... you could have a big price war. And then we have a problem," he stated. Such a scenario would compress margins across the entire AI supply chain, from cloud providers to AI model developers.

In response to these concerns, Eisman has taken concrete action. Last month, he sold his stake in Google and shifted his portfolio to cash, explicitly seeking to reduce his exposure to AI. His move reflects a defensive posture: rather than betting on AI success, he is stepping to the sidelines.

Eisman is not the only prominent investor expressing caution. Michael Burry, who famously shorted subprime mortgages before the 2008 financial crisis, has also positioned himself against the AI trade. Burry is currently short on the iShares Semiconductor ETF (SOXX), Micron, Nvidia, Caterpillar, Palantir, Tesla, and Applied Materials. Additionally, he has forecasted that US stocks could experience a crash reminiscent of 1987. These positions signal deep skepticism about the sustainability of both semiconductor demand and the broader equity market in the face of AI-related valuations. Not all observers agree with this bearish outlook; BitMine Chairman Tom Lee interprets AI capital expenditure fears as a bullish signal, and Mad Money host Jim Cramer has stated that the AI data center trade is regaining market leadership.

Context & Analysis

Steve Eisman's concern reveals a structural concentration risk at the heart of the AI boom. By situating OpenAI and Anthropic as the primary revenue drivers for four of the largest US technology companies—Microsoft, Amazon, Google, and Oracle—Eisman highlights an implicit bet that these two startups will maintain their competitive moat and pricing power. The body itself notes that these four giants derive 70% of their AI-related revenue from just two firms, a dependency that would normally raise red flags for investors focused on diversification and resilience.

The threat Eisman identifies is not that AI itself will fail, but that the business model underpinning the current AI trade is fragile. Chinese open-source alternatives, which the body states are "much cheaper," introduce a competitive dynamic that could compress margins across the entire sector. If customers migrate to lower-cost solutions, the premium pricing that OpenAI and Anthropic currently command would erode, and with it, the revenue streams that justify current valuations for Microsoft, Amazon, Google, and Oracle. Eisman's decision to liquidate his Google stake and move to cash signals a shift from passive participation in the AI narrative to active de-risking. His skepticism is not alone; Michael Burry's short positions across semiconductor and AI-adjacent equities suggest that a material subset of sophisticated investors are positioning for a downturn or at least a repricing of AI-linked assets.

FAQ

How much of the AI revenue at major US tech companies do OpenAI and Anthropic represent?
Eisman estimates OpenAI and Anthropic account for roughly 70% of AI-related revenue at Microsoft, Amazon, Alphabet's Google, and Oracle, and 25% to 35% of cloud revenue at those four companies.
What specific risk does Eisman cite as the 'Achilles' heel' of the AI boom?
He points to Chinese open-source models, which are much cheaper and are starting to win market share. If these models gain significant share, Eismal warns, it could spark a price war across the sector.
What action has Michael Burry taken to reflect his AI skepticism?
Burry is short on iShares Semiconductor ETF (SOXX), Micron, Nvidia, Caterpillar, Palantir, Tesla, and Applied Materials, and has forecasted that US stocks could suffer a 1987-type crash.
Yahoo Finance AIRead Original Article

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