Michael Burry Says Nvidia Has Bigger Problems Than Jensen Huang

AI & Compute

Burry's $176 Billion Warning: Nvidia's Real Risk Is Not Huang

Michael Burry estimates hyperscalers may understate AI depreciation by $176 billion through 2028, a risk he says outweighs Jensen Huang's resignation at Nvidia.

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Sophie Lindqvist
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Investor Michael Burry estimates that hyperscalers could understate depreciation on AI infrastructure by $176 billion between 2026 and 2028 — a figure he argues dwarfs the leadership crisis now gripping Nvidia. Jensen Huang resigned as CEO this morning amid revelations about his personal relationships. CFO Colette Kress has taken over as interim chief executive. Burry, known for predicting the 2008 housing collapse, says the accounting issue will outlast the leadership controversy.

What is the $176 billion problem?

The dispute centers on how AI buyers account for their chips. When Microsoft, Amazon and other technology giants buy Nvidia processors, they do not charge the full purchase against earnings immediately. They depreciate the equipment over its estimated useful life. The longer the period, the smaller the annual expense, and the higher reported profits appear.

Burry has argued for months that these schedules ignore how quickly AI chips become obsolete. He put the resulting understatement of depreciation at up to $176 billion across 2026 to 2028.

The arithmetic is simple. A $10 billion processor investment spread over six years produces roughly $1.67 billion in annual depreciation. Shorten the useful life to three years and the expense doubles to $3.33 billion. Nothing about the underlying business changes. Yet annual accounting profits fall by another $1.67 billion.

There is a caveat. Longer depreciation schedules are not automatically improper. Older chips can remain productive after newer generations arrive. Burry's concern is that rapid technological progress makes those assumptions increasingly optimistic. That is a forecast, not a finding.

Are Nvidia's customers spending beyond their means?

The more immediate threat is customer behavior. Amazon's October 29 earnings release offered a revealing case. AWS revenue rose 39% to $46 billion in the third quarter. Yet companywide free cash flow swung from a $14.8 billion inflow to a $42.4 billion outflow over the trailing twelve months, primarily on AI infrastructure spending.

Microsoft tells a different story. Azure revenue grew 48% in the September quarter. The company generated $18.6 billion in free cash flow despite $45.2 billion in capital expenditures. Both companies are expanding. Their cash flows diverge.

Nvidia's own numbers show no demand slowdown yet. Fiscal second-quarter revenue surged 106% to $96.2 billion, per the company's reporting. Data center revenue climbed 117% to $89 billion. Gross margin reached 75%. Customers have not stopped buying.

The risk runs the other way. If hyperscaler AI investments fail to deliver adequate returns, today's spending boom becomes tomorrow's capital expenditure cuts. Nvidia would feel those reductions directly.

What happens after Huang?

Huang's departure introduces genuine uncertainty. Investors must now judge whether the transition disrupts customer relationships and the product roadmap. The stock has already fallen more than 30%, and dropped 8.3% after hours on a report of a second affair, per 24/7 Wall St. That damage shows how quickly confidence evaporates.

Burry's warning reaches past one executive. Nvidia's greatest long-term vulnerability is not losing Jensen Huang. It is losing the willingness of its largest customers to keep spending at today's pace.

Investors should not treat a 30%-plus decline as proof the stock is cheap. Three metrics matter more than the name on the CEO's door: whether hyperscaler free cash flow improves, whether depreciation expenses accelerate, and whether AI capital spending keeps growing. Those numbers, not the leadership drama, will decide whether Nvidia's growth run continues or the AI boom hits the reckoning Burry has predicted — and been early on before.

Source: 247wallst.com

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Sophie Lindqvist

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News editor covering money, funding and market shifts around Semiconductors, chip manufacturing, hardware, AI compute at Chip Dispatch.

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