TL;DR: Anthropic has largely solved the compute access problem that once threatened its growth. But the solution has created a new version of the “Compute Trap”: hundreds of billions of dollars of long-duration capacity commitments increasingly financed through SPVs, private credit, and bank guarantees. Its coming S-1 will reveal how much of that risk is truly fixed.
Anthropic solved its compute access problem by building a far larger financing machine. Its IPO will test whether growth can absorb the commitments before those commitments begin to constrain it.
One of the greatest risks facing Anthropic a year ago was that it could not secure sufficient compute without becoming overly dependent on two shareholders who were also critical suppliers. I called compute a Single Point of Failure or the “SPOF”: The Harness was only as durable as the silicon underneath it.The silicon has a bottleneck of its own, further down the stack, in memory.
Lurking just below that SPOF was the broader problem of the Compute Trap: spend too little and you risk losing the frontier. Spend too much, and you risk overwhelming the economics of the business.
By May, when I revisited Anthropic in King Claude, the first half of that trap was no longer theoretical. Anthropic’s growth had outrun its available capacity so badly that it turned to former rival xAI, leasing the full 300 megawatts of SpaceX’s Colossus 1 for $1.25 billion per month. The contract bought Anthropic time, but not permanence: either side could terminate on 90 days’ notice.
The question had already begun to shift from compute access to what I called growth endurance: could Anthropic grow revenue fast enough, for long enough, to absorb a compute base contracted in advance against future demand?
Three months later, we have the next part of the answer.
Anthropic has largely solved the access problem by diversifying across more suppliers, which has vastly increased its capacity. But in solving the access version of the Compute Trap, Anthropic has exposed its financial version.
The company now sits atop hundreds of billions of dollars in announced compute commitments, backed by a dizzying array of complex financial instruments ranging from hyperscaler balance sheets to SPVs, private credit, and bank guarantees.
The original SPOF has been diversified. The underlying risk has been refinanced. As a result, the question is no longer simply: can Anthropic get enough compute to stay at the frontier? It is whether Anthropic can grow fast enough, for long enough, to support the financial architecture required to secure it.
Anthropic is preparing to go public carrying roughly $450 billion of announced compute commitments. The exact number matters less than what sits underneath it: how much is genuinely take-or-pay, how much is cancellable capacity, how much is lease liability, and how much remains contingent on future deployment. The S-1 should finally tell us whether Anthropic has built one of the most sophisticated financing machines in technology or simply converted an availability problem into a fixed-cost problem.
If SpaceX bought Anthropic time to address the access issues, then Volta may show what a more permanent financing model might look like.
Volta, a newly launched AI infrastructure company founded by former Brookfield executives, emerged from stealth in August with a six-year, $10 billion compute contract reported by Bloomberg to be with Anthropic. Behind it sits a sixteen-year infrastructure lease supported by roughly $1.3 billion of anticipated bank letters of credit.
Volta summarized its founding thesis in five words: compute is infrastructure and should be financed as such. That sentence captures what has changed over the past twelve months: the AI buildout has transformed from a technology or capacity story into a credit story.
And the largest private balance sheet at the center of that story is racing toward the public markets to test the viability of that strategy.