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5 min read

AI Credit Crunch?

AI Credit Crunch?

I. AI Jitters

Investors have worried that AI companies are spending too much on data centers. These companies' once ample free cash flows have turned negative, forcing them to borrow. Concerns have mounted that they are driving up financing costs and won't generate sufficient returns to justify their huge investments. Now, another concern is moving to the forefront: Does enough capital even exist to finance everyone's ambitious AI spending plans?

Meta's earnings announcement on Wednesday brought these concerns to the fore. Despite revenues rising 26% y/y to $64.6 billion, the company reported negative free cash flow of $2.1 billion. It raised the lower end of its 2026 capital expenditure guidance to $135–$145 billion and announced a new class of non-voting shares to facilitate future capital raising. Investors interpreted the move as a sign that even hyperscalers may be rushing to secure financing before competitors absorb the available capital.

Indeed, the Meta report stated: "Recent significant capital raises from peers like Alphabet and SpaceX, alongside anticipated fundraising from Anthropic and OpenAI, have created an increasingly challenging fundraising environment."

Several industry leaders have confirmed this concern. Broadcom CEO Hock Tan recently warned that capital could become the biggest constraint on AI development. BlackRock CEO Larry Fink said that competition for capital was the fiercest he had witnessed in his career. On Thursday, Nvidia CEO Jensen Huang warned that neocloud demand is "off the charts" but capital is scarce.