Anthropic reportedly commits $200 billion to Google Cloud over five years

Anthropic has committed to spend $200 billion with Google Cloud over five years, a deal that captures how expensive the AI race has become and how much power now sits with the companies that control compute. The agreement, set to begin next year, locks in enormous cloud capacity for the maker of Claude while giving Google a long-term customer for the infrastructure it has been racing to build.

The scale is striking even by the standards of the AI boom. Reuters said the commitment could account for more than 40% of Google’s revenue backlog disclosed to investors last week, turning one customer into a meaningful share of a business that is becoming increasingly dependent on multiyear infrastructure contracts. Alphabet shares rose about 2% in extended trading after the news, a reminder that investors now treat cloud capacity and chip access as central measures of AI strength.

The deal lands after Alphabet told investors on its April 29, 2026 first-quarter earnings call that Google Cloud revenue climbed 63% year over year to more than $20 billion and that cloud backlog reached about $462 billion. Alphabet also raised its 2026 capital-expenditure outlook to as much as $190 billion, underscoring how much money the industry is pouring into data centers, networking gear and the specialized chips needed to keep frontier models running.

Anthropic has been widening its supply base even as it deepens its relationship with Google. On April 6, 2026, the company said it had signed a new agreement with Google and Broadcom for multiple gigawatts of next-generation TPU capacity expected to come online starting in 2027. On April 20, 2026, Anthropic separately announced an expanded collaboration with Amazon for up to 5 gigawatts of capacity for training and deploying Claude. Taken together, the deals show that model makers are not simply shopping for software or office space. They are negotiating for scarce infrastructure, and the firms that can supply it are becoming gatekeepers.

That shift has broad implications. As a small number of cloud providers and chip suppliers consolidate control over the AI stack, competition among labs may depend less on research talent alone and more on who can secure the most power, the most accelerators and the most reliable delivery schedules. For Google, the Anthropic contract is both validation and leverage. For the wider market, it is another sign that the economics of AI are tilting toward the firms that own the rails.