Michael Burry Challenges Nvidia's AI Economics Amid Record Earnings

Reviewed byNidhi Govil

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Big Short investor Michael Burry questions Nvidia's accounting practices and the sustainability of AI investments, arguing that true end demand is much smaller than reported while Nvidia defends its chip longevity and business model.

The Big Short Investor Takes Aim at AI Giant

Michael Burry, the renowned investor famous for predicting the 2008 subprime mortgage crisis, has launched a sharp critique of Nvidia's accounting practices following the AI chip giant's blockbuster third-quarter earnings. The hedge fund manager, who recently disclosed bearish positions against both Nvidia and Palantir, is questioning the fundamental economics of the artificial intelligence spending boom that has driven the company's meteoric rise

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Source: Economic Times

Source: Economic Times

Burry's criticism centers on what he sees as significant discrepancies in how Nvidia reports its costs, particularly around stock-based compensation (SBC). According to his analysis, while Nvidia has reported $20.5 billion in SBC since early 2018, the company simultaneously repurchased $112.5 billion worth of stock during the same period yet still ended up with 47 million more shares outstanding

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Nvidia's Defense of Chip Longevity

In response to growing concerns about the rapid obsolescence of AI hardware, Nvidia's Chief Financial Officer Colette Kress defended the company's position during the earnings call. She emphasized that Nvidia's hardware remains productive far longer than critics claim, thanks to the company's CUDA software system. "The A100 GPUs we shipped six years ago are still running at full utilization today, powered by vastly improved software stack," Kress stated

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The company argues that CUDA's compatibility across its massive installed base extends the life of Nvidia systems well beyond their original estimated useful life, providing customers with significant Total Cost of Ownership advantages. This defense addresses a key concern on Wall Street about whether corporate buyers can monetize their AI investments before newer, more efficient chips make their hardware obsolete.

The Circular Investment Web

Burry's critique extends beyond Nvidia's individual accounting practices to encompass what he sees as a broader pattern of questionable financial arrangements across the AI industry. He highlighted a complex web of more than $1 trillion in intertwined investments, partnerships, and capital flows involving major players including Microsoft, AMD, Oracle, CoreWeave, xAI, and others

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"Every company listed below has suspicious revenue recognition," Burry wrote, describing the arrangement as a picture of fraud rather than a legitimate business flywheel. He pointed to recent deals like Anthropic's agreement to buy $30 billion in Azure compute from Microsoft, while Nvidia and Microsoft committed significant new investments into the startup, as examples of these circular arrangements

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The Power Efficiency Paradox

At the heart of Burry's thesis lies a fundamental contradiction he sees in Nvidia's messaging. While the company promotes its newest chips as vastly superior in performance and efficiency, it simultaneously argues that older hardware remains economically valuable. Burry contends that newer GPUs consume far less power, making older hardware uncompetitive and forcing companies to continually invest in new AI infrastructure not because it's profitable, but because they have to keep up

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He noted that Nvidia's A100 processors consume two to three times more power than H100s, while the H100 is about 25 times less energy efficient than Nvidia's next-generation Blackwell chips for inference tasks. "Just because something is used does not mean it is profitable," Burry emphasized

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