This article first appeared on GuruFocus.
Michael Burry (Trades, Portfolio) is taking aim at Nvidia's (NASDAQ:NVDA) $500 billion AI-infrastructure financing strategy, arguing that Wall Street is building a dangerously leveraged system around GPU demand that echoes risks seen before the 2008 financial crisis. The criticism puts a new spotlight on one of the biggest questions surrounding the AI boom: whether soaring chip demand reflects sustainable end-user economics or increasingly complex financing designed to keep capital flowing.
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Nvidia has partnered with Apollo (NYSE:APO), BlackRock (NYSE:BLK), Blackstone (NYSE:BX), Brookfield, Goldman Sachs (NYSE:GS) and KKR on financing platforms intended to mobilize more than $500 billion of third-party capital for AI infrastructure over time. Nvidia stresses that the figure is not revenue or a single committed fund and that financing firms will independently assess customer demand, utilization, cash flow and residual values.
Burry sees something more concerning.
The "Big Short" investor described the initiative as a Wall Street stunt and argued that the structures can involve private credit, asset-backed debt and Nvidia capital ultimately funding purchases of Nvidia GPUs.
"I have an idea how that will look," Burry wrote. "Meet the new Boss. Same as the old Boss."
One focal point is Nvidia's potential backstop. The company says that, in some projects, it may provide residual-value support covering up to 25% of an opportunity. Nvidia argues that older GPUs remain commercially useful and can be redeployed across customers, helping preserve collateral value.
That assumption is crucial. If rapidly improving AI chips cause older hardware to depreciate faster than expected, the economics underlying leveraged GPU financing could weaken.
For Nvidia investors, Burry's critique turns GPU residual values and customer economics into increasingly important metrics.
Watch rental prices for older GPUs, utilization rates, customer defaults and how much direct financial support Nvidia ultimately provides. The bullish case holds if chips remain productive for years and financed AI projects generate enough cash to service their debt.
The bearish scenario emerges if new architectures rapidly erode older GPU values or heavily financed customers struggle to monetize capacity.
Nvidia reports fiscal second-quarter results on Aug. 26, giving investors another opportunity to assess data-center demand, margins and whether infrastructure financing is broadening genuine end-market growth.