Anthropic overtakes OpenAI in revenue run‑rate, briefing says

Anthropic’s latest brag is not subtle. The company said on April 6 that its revenue run-rate has passed $30 billion, up from roughly $9 billion at the end of 2025. That puts the maker of Claude ahead of OpenAI’s roughly $25 billion annualized revenue pace from late February, at least on this specific metric. The bigger story is not just who is ahead this week. It is that the center of gravity in generative AI keeps shifting from consumer hype to enterprise spend. (anthropic.com) ### What is a revenue run-rate? It is basically a snapshot, not a full-year income statement. You take the company’s current monthly or recent revenue pace and annualize it. That means $30 billion run-rate does not mean Anthropic has already booked $30 billion in realized annual revenue. It means the company says (anthropic.com)makes the comparison useful, but also a little slippery. (anthropic.com) ### Why is Anthropic suddenly ahead? Enterprise adoption. That is the whole plot. Anthropic says more than 1,000 business customers now spend over $1 million a year on an annualized basis, double the count it disclosed in February. It also said eight of the Fortune 10 are now Claude customers. Those are not vanity(anthropic.com)e across coding, support, analytics, and internal tools. (anthropic.com) ### Where is the growth actually coming from? A lot of it looks tied to coding and API-heavy business use. In February, Anthropic said Claude Code alone had already reached more than $2.5 billion in run-rate revenue, and weekly active users had doubled since January 1. That matters because coding products tend to (anthropic.com) company wires a model into developer workflows, switching gets harder. (anthropic.com) ### Does this mean OpenAI is losing? Not exactly. OpenAI is still enormous, and its business mix is broader. Anthropic is winning on a run-rate comparison that seems heavily powered by enterprise and developer demand, while OpenAI still has giant consumer scale through Cha(anthropic.com) right now.” (sacra.com) ### Why do investors care so much? Because revenue at this speed changes the valuation math. Anthropic had already said in February that it raised a $30 billion Series G at a $380 billion post-money valuation. Since then, the company has kept pairing growth disclosures with giant compute commitments — first with Google and Broadcom, then with Amazon. When (sacra.com)rastructure to serve it, investors stop treating it like an experiment and start treating it like a future public-market heavyweight. (anthropic.com) ### Why is compute part of the story? Because AI revenue is constrained by chips, power, and data-center capacity. Anthropic’s April 6 announcement was not just a victory lap. It was attached to a deal for multiple gigawatts of next-generation compute with Google and Broad(anthropic.com)ttleneck — supply is. (anthropic.com) ### What is the catch? Run-rate is not profit. These companies are still spending absurd amounts on training, inference, and infrastructure. And direct comparisons are messy because revenue recognition, partner channels, and consumer-versus-enterprise mix are not identical. But even with those caveats, the underly(anthropic.com)y leader.” (anthropic.com) ### Bottom line The important change is not the scoreboard by itself. It is what the scoreboard says about where AI money is settling. Right now, the fastest-growing pile of it seems to be flowing into enterprise tools built around Claude. (anthropic.com)