The entire market is reading the leaked draft of Anthropic's IPO prospectus to work out whether its bet pays off, which is a fair question if you are deciding whether to buy into the listing when it comes. For anyone running a business that now depends on this technology, it is not as useful. Read from the operating side of the table, the filing is really a detailed memo about three things coming for the P&L.
Let’s begin with the number sitting underneath the one in the headlines. According to the leaked draft, Anthropic has committed roughly $518 billion to compute over the coming years, and about $414 billion of that is non-cancelable, owed whether or not the company ever uses the capacity. Having spent more than a decade advising technology companies on their capital structure at J.P. Morgan, I can tell you that a commitment of that shape behaves far more like debt than like a flexible cost, and a company carrying it has only one way to service it, which is to pull the revenue through its customers. Anthropic, and OpenAI on broadly similar terms, now has to monetize those commitments, and that monetization lands on your invoice before it touches their margin.
The first consequence is that you should stop building budgets around the assumption that AI costs keep falling. The familiar story that inference gets cheaper every year is now running into several hundred billion dollars of fixed bills that have to be paid down over the decade, and the structural pressure that creates flows toward the buyer. I would model the AI line in your plan rising over the next few years and make whoever owns that forecast defend any assumption that it falls.
The second is that if you have standardized your workflows on a single model, you have taken on a counterparty whose solvency you ought to be underwriting the way you would any critical supplier. By outside estimates, Anthropic needs to reach around $134 billion in annual revenue by 2028 simply to break even against these obligations, and a dependency of that size belongs in your risk register and your board materials well before your engineering roadmap.
The third is the one I rarely hear discussed, and it is the closest to home. The same committed-spend structure that will make or break Anthropic has become standard in the AI and cloud contracts your own company is signing. I have been on both sides of these deals, structuring committed-use agreements while running the commercial side at AWS and signing them as an operator since, and the pattern holds every time. The discount that comes with a multi-year reserved commitment is genuine, and so is the obligation underneath it, which surfaces the moment your usage comes in below what you promised to buy. The discipline is to model that downside before you sign.
None of this is a verdict on Anthropic’s bet, which is Anthropic’s to win or lose. The questions that actually touch your P&L are how much of it you are now riding on, and how much of your own spending you have already committed on exactly the same terms.