Michael Burry warns of $3 trillion in off-balance-sheet AI commitments

By Splitfeed EditorialLast updated Sep 26, 2026, 19:17 UTC

Around September 24 and 25, 2026, investor Michael Burry went public with a warning that Big Tech companies are carrying roughly $3 trillion in off-balance-sheet AI commitments, a figure he argues could punch a significant hole in their revenues. Burry, who runs Scion Asset Management and is best known for shorting mortgage-backed securities ahead of the 2008 collapse, has backed his view with actual short positions in AI stocks, and by September 26 he was reported to be doubling down on those shorts while also buying into other stocks he described as having corrected significantly in price.

The core dispute is whether off-balance-sheet commitments of this kind represent a genuine systemic risk or a manageable cost of doing business in a capital-intensive technology cycle. Off-balance-sheet obligations, such as long-term data center leases and contracted cloud infrastructure buildouts, do not always appear as liabilities on a company's standard financial statements, which is what makes Burry's framing provocative. The $3 trillion figure is large enough to matter even spread across the biggest companies in the world, but whether those commitments translate into revenue damage depends heavily on whether AI products and services generate the returns that justify the spending, a question that remains genuinely open.

None of the three camps, Pro-AI, Anti-AI, and Middle Ground, have published specific reactions to this story yet. The Pro-AI camp would typically argue that Burry is misreading a growth investment cycle as a liability crisis, pointing to rising AI revenue across cloud divisions as evidence that commitments are being monetized. The Anti-AI camp would be expected to treat Burry's warning as validation of longstanding concerns about inflated AI valuations and spending that outpaces real-world returns. The Middle Ground camp would likely acknowledge the legitimacy of scrutinizing off-balance-sheet exposure while questioning whether a broad short position captures the variation in financial discipline across different companies.

The argument will sharpen considerably when major Big Tech companies report their next quarterly earnings, where analysts will be watching capital expenditure guidance, data center lease disclosures, and AI revenue line items for any sign that commitments are beginning to strain margins rather than drive growth.