At the end of 2025, Anthropic was generating roughly $9 billion in annualized revenue.
Ninety days later, that number crossed 30 billion. CFO Krishna Rao announced the milestone on April 6, 2026, alongside an infrastructure deal that made the revenue figure look like the easy part.
The math is simple. The implications are not. A threefold revenue increase in a single quarter is the kind of growth curve that forces a company to rethink everything: its compute supply chain, its hiring pipeline, its infrastructure partnerships, and its entire relationship with the physical world of electricity and silicon.
Anthropic’s answer came in a single announcement that rewrites the scale of what an AI startup can demand from the global chip industry.
For context: In late March, LDS reported on Anthropic’s accelerating revenue trajectory and its plans for a potential IPO. The company has since blown past every projection in that article.
The Biggest Compute Deal an AI Startup Has Ever Signed
On April 6, Broadcom disclosed an expanded agreement to design and supply custom Tensor Processing Units for Google, paired with a networking and components deal extending through 2031. Anthropic is the anchor customer.
Starting in 2027, Anthropic will gain access to approximately 3.5 gigawatts of next-generation TPU capacity, built on Broadcom-designed chips and deployed through Google Cloud. That capacity builds on the 1 gigawatt already flowing to Anthropic in 2026.
Krishna Rao called it “our most significant compute commitment to date.”
To put 3.5 gigawatts in perspective: the average U.S. nuclear power plant generates about 1 gigawatt. Anthropic is contracting for the equivalent output of three and a half nuclear reactors, dedicated entirely to running AI models. The majority of the new capacity will be built in the United States, extending Anthropic’s November 2025 commitment to invest $50 billion in American AI computing infrastructure.
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