The post Anthropic Revenue Tops $30 Billion as Google and Broadcom Sign Multi-GW TPU Deals appeared on BitcoinEthereumNews.com.

Surging demand for advanced AI models is reshaping cloud infrastructure, energy markets, and Bitcoin mining economics, with anthropic revenue emerging as a key signal of this shift. Anthropic revenue growth and Claude adoption Anthropic disclosed that its annualized revenue has climbed past $30 billion, a sharp acceleration from approximately $9 billion at the end of 2025. This jump in anthropic annual revenue reflects rapid uptake of its Claude AI models across enterprise clients and software developers. Moreover, the company is seeing strong demand from large organizations integrating Claude into workflows, products, and internal tooling. The firm also reported that the number of business customers spending more than $1 million per year on Claude has doubled in under two months, rising from 500 to more than 1,000. That said, Anthropic has framed this as an early stage of broader enterprise AI adoption, suggesting significant room for further growth as organizations scale deployments. Multi-gigawatt TPU capacity deals with Google and Broadcom To sustain this trajectory, Anthropic announced long-term infrastructure agreements with Google and Broadcom for several gigawatts of next-generation TPU (Tensor Processing Unit) compute capacity. The new infrastructure is expected to begin coming online in 2027 and will be used to train and operate future versions of Claude. However, the scale of the deal also underscores how dedicated AI hardware is now central to performance and competitive advantage. Anthropic revealed that it has secured roughly 3.5 gigawatts of next-generation Google TPU capacity through Broadcom starting in 2027. This commitment is in addition to about 1 gigawatt of Google compute that Anthropic is already slated to receive in 2026. Together, these agreements signal a multiyear build-out of specialized infrastructure to support increasingly capable models. Across the sector, major AI developers are racing to lock in long-term access to training and inference capacity. Moreover,…

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Filed under: News - @ April 7, 2026 6:19 pm