Anthropic Commits To Spending $200 Billion On Google’s Cloud And Chips, Deepening AI Ties

Artificial intelligence startup Anthropic has reportedly agreed to spend $200 billion with Google Cloud over the next five years. It is one of the biggest infrastructure commitments seen in the AI space so far.

The deal shows how significant Anthropic has become for Google. The company is believed to make up more than 40% of the revenue backlog Google recently shared with investors. This backlog reflects contractual commitments from cloud customers. It also points to the sheer scale of demand for AI computing power right now.

Deeper Partnership

The relationship between Anthropic and Alphabet has been getting deeper over time.

Earlier this year, Alphabet announced plans to invest up to $40 billion in Anthropic. Google has already put in $10 billion in cash, valuing Anthropic at $350 billion. Another $30 billion may follow, depending on performance targets. While both companies work closely in some areas, they are also competitors in the global AI space.

Massive Infrastructure Push

Anthropic’s spending commitment is closely tied to its growing need for computing capacity. In April, the company signed a deal with Google and chip partner Broadcom for multiple gigawatts of tensor processing unit (TPU) capacity. This infrastructure is expected to come online starting in 2027.

The company has also been expanding its access to alternative computing resources:

• A multi-year agreement with CoreWeave
• Plans to secure nearly one gigawatt of capacity via Amazon chips by the end of the year

Anthropic has said it trains and runs its Claude models across a mix of hardware, including:

• Amazon Web Services’ Trainium
• Google TPUs
• Nvidia GPUs

AI Demand Reshaping Cloud Economics

Strong demand for Anthropic’s Claude family of AI models has prompted the company to lock in large-scale infrastructure deals. Contracts involving Anthropic and OpenAI now account for more than half of the $2 trillion in backlogs at major cloud providers, including:

• Amazon Web Services
• Microsoft Azure
• Google Cloud Platform

This shows how AI workloads are rapidly becoming the dominant force shaping the economics of global cloud computing.

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