Jefferies' Wood and Michael Burry warn AI spending by Microsoft, Meta could trigger bubble burst

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Christopher Wood warns that hyperscalers like Microsoft, Meta, and Alphabet risk massive capital destruction from debt-fueled AI spending. Michael Burry echoes concerns, comparing current AI investment frenzy to the dot-com bubble and placing bearish bets against major tech stocks including Nvidia and Tesla.

Hyperscalers Face Scrutiny Over Debt-Funded AI Infrastructure Investments

Jefferies' Global Head of Equity Strategy Christopher Wood has issued a stark warning about excessive AI spending by major tech companies, predicting "massive capital destruction" as markets begin pushing back against rising debt-funded investments . In his latest 'Greed & Fear' report, Wood highlighted that four major hyperscalers—Microsoft, Meta, Amazon, and Alphabet—have issued bonds worth $144 billion so far this year, compared with $83 billion in the entire previous year

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. While these companies' shares rallied up to 180% since the beginning of 2023, outperforming the S&P 500 index by 44%, they have declined nearly 9% since late May and underperformed the index by more than 10% from their relative high in early May

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Source: ET

Source: ET

AI Stock Market Bubble Concerns Echo Dot-Com Crash Warnings

The AI investment frenzy has drawn comparisons to the dot-com bubble, with Michael Burry—famous for predicting the 2008 market crash—warning that current market conditions mirror the excesses of 1999

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. Burry wrote that he sees many indicators, both technical and fundamental, lining up for the same conclusion as the dot-com crash, arguing that massive venture capital flows, rising AI debt issuance, and extreme market optimism are creating conditions where stretched valuations may detach from economic reality

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. More than $2 trillion was wiped off the total market value of the 'Magnificent 7' stocks last month as investors weighed the increasing spending of these tech giants on AI infrastructure

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AI Semiconductor Stocks Outpace Infrastructure Builders in Troubling Divergence

Burry's analysis of AI stocks reveals a widening gap between AI semiconductor stocks and the companies funding the buildout, raising red flags about unsustainable spending trends

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. His charts showed that AI semiconductor stocks have sharply outperformed the hyperscale cloud companies funding the infrastructure buildout, while the Philadelphia Semiconductor Index trades near the top of its 15-year valuation range on forward P/E

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. The chip sell-off demonstrated the market's fragility, with the Philadelphia semiconductor index dropping 6.3% on July 1 and another 5.5% on July 2

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. According to Axios, Alphabet, Amazon, Meta, Microsoft, and Oracle raised $255.34 billion through debt and equity in 2026, while planning roughly $750 billion in AI data center spending by year-end

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Bearish Bets Signal Growing Skepticism About AI-Driven Capital Flows

Burry has expanded his bearish bets against the AI bubble, recently disclosing put options on major tech names including Tesla, Nvidia, Caterpillar, Applied Materials, and Palantir

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. His hedge fund previously held put options on 1 million Nvidia shares and 5 million Palantir shares, valued at $187 million and $912 million respectively

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. Wood's prediction centers on what Austrian economists call "malinvestment," arguing that the cycle of AI frenzy will most likely end not because hyperscalers suddenly rein in their spending but because markets start to push back against that spending

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. Wood warned earlier in June that the AI trade will eventually be broken not by a sudden collapse in demand for chips but by market-wide realization that hyperscalers and leading AI labs cannot earn an adequate return on the vast capex they are undertaking

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. The scale of investment is staggering: Nvidia hit $5 trillion in market value after its shares climbed 12-fold since ChatGPT's 2022 launch, while Microsoft, Alphabet, Amazon, and Meta together carried more than $10 trillion in market value, making up 17% of the S&P 500

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. Investors should watch for signs of market correction as concerns over capital destruction intensify and spending continues to outpace demonstrated returns.

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