Continuing to scale AI compute at recent rates will require exponentially more capital. Is financing a bottleneck? Probably not yet.

That's the takeaway from a new Gradient Update by @chutchesonai, which analyzes nearly $50B of debt associated with Anthropic's buildout.

Anthropic is a useful case because in November 2025 it announced plans to invest $50B in US compute infrastructure. It had less than $9B in annualized revenue at the time.

To raise the necessary funds, Anthropic turned to institutional capital and vendor credit support: Investors supply the money upfront, lending against long-term lease payments, while Broadcom and Google make the leases easier to finance by agreeing to cover some losses if payments stop.

The buildout has two legally separate sides: • Compute: $34.5B for TPU systems leased to Anthropic, $30B of which has Broadcom support • Infrastructure: ~$15.2B for data center capacity leased to Fluidstack, which provides capacity and operations to Anthropic, with Google supporting specified lease obligations

On the compute side, a dedicated equipment company borrows as Google TPU systems arrive, buys the racks and leases them to Anthropic for five years. Broadcom conditionally supports the lease obligations backing $30B of debt, with a reported maximum exposure of $29B. Investors also committed $4.5B without Broadcom's support.

That junior tranche pays 8.5%, versus 5.75% for a supported senior tranche. Because the tranches also differ in seniority, the 2.75-point gap represents an upper bound on the backstop's value.

On the data center side, project companies use investor debt to build 1.43 GW of critical IT capacity. Fluidstack's rent repays that debt. Google plays a role similar to Broadcom's: If Fluidstack stops paying rent, it conditionally covers part of investors' losses.

Broadcom, Apollo, and Blackstone call the $35B compute deal the first transaction in a platform designed to support >20 GW through 2028, including deployments for Anthropic and OpenAI.

This first buildout is a test case for investors. If it performs as expected, it will provide confidence for financing even larger projects at lower cost.

This week's Gradient Update was written by @chutchesonai. All Gradient Updates are informal, opinionated analyses that represent the views of individual authors, not Epoch AI as a whole.

Read the full essay here: https://epochai.substack.com/p/will-financing-bottleneck-ai-compute