Economy

Anthropic Commits $50 Billion to Us AI Data Centers in Deal with Fluidstack

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Anthropic has announced a $50 billion plan to build data centres in the United States, partnering with Fluidstack to place facilities in Texas and New York, with more locations planned. The sites will be built to handle Anthropic’s specific computing needs and to support its ongoing AI work.

The company expects the project to create about 800 permanent jobs and roughly 2,400 construction jobs. The new centres are due to come online through 2026. Anthropic said the move fits with the federal AI Action Plan aimed at strengthening domestic technology and infrastructure.

“We’re getting closer to AI that can accelerate scientific discovery and help solve complex problems in ways that weren’t possible before,” said Dario Amodei, CEO and co‑founder of Anthropic. He added that reliable infrastructure is needed to keep advancing AI safely and effectively, and that the new sites will help the company scale while keeping a focus on safety, alignment and interpretability research.

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Anthropic cited growing demand for its AI assistant, Claude, which now serves more than 300,000 business customers. The firm said the number of large accounts, those bringing in over $100,000 a year has risen nearly sevenfold in the past year.

Anthropic chose Fluidstack for its fast delivery of large power systems. “Fluidstack was built for this moment,” said Gary Wu, co‑founder and CEO of Fluidstack. He said the partnership will speed deployment of the power and cooling needed for large AI workloads.

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The announcement comes as other cloud and AI firms secure capacity. AWS, an Anthropic investor, recently agreed a $38 billion deal with OpenAI to host and scale OpenAI’s core workloads. OpenAI has also made partnerships with NVIDIA, AMD and Broadcom that together represent more than 26 gigawatts of planned capacity and potential infrastructure commitments totaling well over $1 trillion.

Taken together, these moves show how leading AI companies are racing to lock in compute power and build the facilities needed to run next‑generation models.

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