Artificial intelligence company Anthropic, developer of the chatbot Claude, announced Wednesday that it will invest $50 billion in new computing infrastructure, including data centers in Texas and New York, as it ramps up efforts to meet rising demand for its AI products.
According to The Associated Press, the company said it is partnering with London-based Fluidstack to build the facilities, which will power Claude and other AI systems.
While Anthropic did not disclose the precise locations or the source of electricity for the new centers, the move is part of a broader surge in U.S. data center activity driven by AI workloads.
A recent report from TD Cowen noted that leading cloud providers leased more than 7.4 gigawatts of U.S. data center capacity in the third fiscal quarter of 2025 — surpassing the total leased in all of last year.
During that period, Oracle secured the largest share of capacity, much of it supporting AI systems for OpenAI, the maker of ChatGPT, followed by Google and Fluidstack, with Meta, Amazon, CoreWeave, and Microsoft trailing behind.
Anthropic said its new projects are expected to create roughly 800 permanent jobs and 2,400 construction jobs. In a statement, the company said, “The scale of this investment is necessary to meet the growing demand for Claude from hundreds of thousands of businesses while keeping our research at the frontier.”
The announcement highlights the rapid expansion of AI computing infrastructure in the tech industry, a trend that has fueled concerns about a potential AI investment bubble.
Many AI startups are spending billions on data centers and specialized hardware before turning a profit, raising questions among investors about the long-term sustainability of such massive investments.
Anthropic said it will continue to “prioritize cost-effective, capital-efficient approaches” while scaling its business, acknowledging the need to balance rapid growth with financial responsibility.
The $50 billion investment underscores the competitive stakes in the AI sector, as companies race to build the infrastructure needed to power increasingly sophisticated AI tools for enterprise and consumer markets.
