Burry: Nvidia's Real Risk Is $3 Trillion in AI Commitments, Not Huang

Jensen Huang resigned as Nvidia's CEO, President, and board member on November 12, 2026, effective immediately — and Michael Burry says the leadership scandal is the smaller problem. The bigger one is how the AI boom is being paid for. CFO Colette Kress took over as interim CEO while keeping her CFO title.

The market reaction was sharp. Nvidia traded at $166.92 late that morning, down 3.92% on the day, 16.59% over the past week and 26.25% over the past month.

What is Burry actually warning about?

In a Substack post reported by Business Insider, Burry — the Scion Asset Management founder made famous by The Big Short — said he was "a bit shocked at how the market has turned on the company." But he questioned whether the "scandal will hurt the economics of the business tremendously." He remains bearish.

He warned that Nvidia's competitive advantage could shrink faster over the next five years than he had expected, and he described Nvidia's investments in other AI players — and its demands on them — as "mafia-like behavior."

His core argument concerns the money behind the build-out. He estimates Big Tech holds more than $3 trillion in future AI spending commitments. Aging chips, he argues, could lose value faster than customers can earn back what they paid. Hyperscalers spread GPU costs over many years through depreciation, the accounting charge for wear and obsolescence. If that schedule runs longer than the chips' real working life, today's reported profits are too high — and future purchases could slow when the true costs surface.

How exposed is Nvidia's balance sheet?

The latest numbers were strong. Nvidia's Q2 fiscal 2027 release showed revenue of $96.221 billion, up 105.85% year over year, with Data Center revenue at $89.023 billion. Non-GAAP EPS of $2.22 beat the $2.0887 consensus.

The same filing shows the risk Nvidia is carrying for its customers:

• Supply obligations: $279.00 billion, mostly memory for Vera Rubin.
• Guarantees: obligations to AI cloud and data center partners capped at $108.5 billion.
• Lab investments: nearly $50 billion put into frontier AI labs.
• Receivables: days sales outstanding rose to 60 days from 45 days.

Some financing deals include a "take-or-pay commitment on a portion of the facility's capacity, a minimum revenue guarantee." Kress addressed the criticism directly on the earnings call: "We know some will call this circular financing. We see it differently." Nvidia also invested $2 billion in CoreWeave (NASDAQ:CRWV), one of the AI cloud companies that buys its chips.

Can the chips outlast the depreciation schedules?

Management's answer to the obsolescence concern: the hardware is "fungible and durable and can be redeployed to support other customers." Huang cited a payback period of less than a year for some data centers. He noted demand runs far higher than the roughly 70% fiscal 2028 growth that supply can currently support.

Nvidia expects capital spending by the top five hyperscalers to reach nearly $800 billion in 2026 and $1.3 trillion in 2027.

That outlook depends on customers keeping their wallets open. AI labs are expected to make up roughly a quarter of Nvidia's business next year — and Kress said those labs are growing faster than their balance sheets and credit profiles can support. At a P/E of about 35, investors are paying for that spending to continue.

What to watch at Tuesday's earnings

Nvidia reports earnings Tuesday as scheduled. Guidance on record calls for revenue of $108.0 billion ±2% and gross margin of 74.0%.

Three questions matter:

• Do the guarantees and supply obligations keep growing?
• Are receivables collected faster or slower?
• Does gross margin hit its expected Q4 low of 71% to 72% on schedule?

Burry also flagged the risk of a US government crackdown on Nvidia's chip sales to China. Even so, he allowed that he could "imagine the whole market is going to think this is a heck of a trade fairly soon."

Whether that trade looks smart depends on Tuesday's numbers — and on whether Nvidia's chips keep earning their keep long after the depreciation schedules say they should.