Hayes links GPU debt issues to Bitcoin surge to $1M

Arthur Hayes has a theory, and it’s the kind that makes you either close your laptop or start aggressively buying Bitcoin. The BitMEX co-founder is arguing that the AI infrastructure boom is building a credit bubble with a very specific, very dangerous structural flaw: lenders are financing GPU hardware over 5-6 year terms, but the chips themselves become obsolete in roughly 2-3 years. The GPU financing time bomb Here’s the thing about lending against depreciating hardware. The math only works if the borrower generates enough revenue during the loan term to cover payments long after the collateral is worthless. Hayes points to Nvidia’s H100 chips as a prime example, hardware with a useful life of about 2-3 years that’s being financed on timelines roughly double that. Hayes estimates approximately $1.5 trillion in AI-related debt has been issued between November 2022 and mid-2026. That figure isn’t random. It corresponds almost exactly to a $1.5 trillion increase in the US M2 money supply over the same period, suggesting the AI buildout has effectively absorbed the new liquidity that might have otherwise flowed into risk assets like Bitcoin. Perhaps more alarming: 75-80% of that AI ...