The cost of the asset just went up 15%
Every loan written against AI hardware was sized against a cost per unit that has just moved against the borrower, not the lender.
Bloomberg reported on 22 August, and Reuters and CNBC confirmed, that some of Nvidia's biggest customers have been told the price of servers built around its AI chips will rise more than 15% in many cases, driven by soaring memory costs. The increases apply to Vera Rubin and Grace Blackwell systems shipped early next year. This is not a headline about sentiment. It is a change in the unit cost of the collateral underneath the entire AI financing complex. Consider how a neocloud works. It signs a multi-year contract to supply compute at an agreed price, then borrows against that contract to buy the hardware. CoreWeave closed a $2.6bn delayed-draw term loan at SOFR plus 5.5% on 10 August; Lambda raised $926m of term loan B at S+300. Both were sized against an assumed cost per rack. If the hardware costs 15% more and the revenue contract does not move, the equity cushion in each project thins — and the equity cushion is what the lender is relying on. For the hyperscalers it is simpler and less dangerous: Alphabet's $205bn 2026 capex plan buys less than it did when the plan was written, and Alphabet has the cash flow to absorb it. The tape has already sorted the two groups. Over five days Nebius is down 21.6%, CoreWeave 18.6%, Core Scientific 14.2%, Applied Digital 13.7%, IREN 11.4%. Over the same week Microsoft rose 1.6%, Alphabet 1.2%, Amazon 0.3%. What we do not know is who absorbs the increase — whether neoclouds can pass it through, eat it, or delay deliveries. Nvidia reports on Wednesday with revenue expected above $92bn, and the gross-margin line will be the first place the answer shows up.