Via nvidia.com
The billionaire investor says Nvidia's vendor financing practices mirror the reckless credit structures that fueled the late-1990s bubble, and Michael Burry agrees.
Mark Cuban thinks Nvidia is doing something uncomfortably familiar. On July 28, the billionaire investor posted on X comparing Nvidia’s current role in the AI ecosystem to the financial engineering that powered the dot-com boom, where companies didn’t just sell products but bankrolled the customers buying them.
Nvidia shares dropped roughly 2% the following day, trading about 18% below their May 2026 peak.
The financing problem hiding in plain sight #
Cuban’s core argument is structural, not emotional. Nvidia doesn’t just dominate the market for AI accelerator chips. It also extends significant vendor financing and lending to the customers building out data centers with those chips.
Cuban pointed out that this credit exposure extends “far beyond Oracle,” suggesting the vulnerability runs through a wide swath of AI infrastructure spending. His bluntest warning was characteristically direct: “One breakthrough in another chip provider, or a misstep, and it all could crumble.”
Michael Burry, the investor who famously bet against the US housing market before the 2008 financial crisis, piled on by labeling Nvidia as “overreaching” in its financial practices. He specifically flagged the company’s debt accumulation as a concern.
Why this echoes the dot-com playbook #
The dot-com comparison isn’t just rhetorical flourish. In the late 1990s, telecom and internet infrastructure companies routinely financed their own customers, creating a closed loop where revenue growth looked explosive on paper but was actually powered by the seller’s own balance sheet. When the music stopped, the cascading defaults took down companies that had appeared untouchable.
Nvidia occupies a remarkably similar position today. The company’s dominance in AI accelerators is well-documented, and large tech firms have committed to record levels of capital expenditure on AI infrastructure. But a meaningful portion of that spending flows through credit structures where Nvidia itself bears counterparty risk.
What this means for AI stocks broadly #
The immediate market reaction, a 2% decline on a single day, was relatively modest. The 18% decline from Nvidia’s May peak already signals that some investors have been quietly repositioning. Cuban’s comments may accelerate that trend, particularly among institutional investors who need a narrative framework to justify reducing exposure to a stock that has been a portfolio staple for years.
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