Artificial intelligence company Anthropic announced a $50 billion investment in computing infrastructure on Wednesday, including the construction of new data centres in Texas and New York. The company said it is partnering with London-based Fluidstack to develop these facilities, which will power its AI systems, including the Claude chatbot. The exact locations and energy sources for the projects have not been disclosed.
Microsoft also revealed new data centre plans on the same day, announcing an ongoing project in Atlanta, Georgia. The company described the facility as part of a “massive supercomputer” connected through a high-speed network to another data centre in Wisconsin. The supercomputer, powered by hundreds of thousands of Nvidia chips, will support Microsoft’s own AI technology as well as projects from OpenAI and other developers.
These announcements highlight the continued surge in AI infrastructure investments, even as concerns rise about potential financial bubbles, environmental impact, and the strain on local electricity resources.
Anthropic said the $50 billion investment will create around 2,400 construction jobs and 800 permanent positions. “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 company said in a statement.
According to a recent report, leading cloud service providers leased over 7.4 gigawatts of data centre capacity in the third quarter of this year, surpassing the total for all of last year. Oracle reportedly secured the most capacity, followed by Google, Fluidstack, Meta, Amazon, CoreWeave, and Microsoft.
Anthropic’s new investment follows earlier partnerships with Amazon and Google. Meanwhile, Microsoft has significantly expanded its own infrastructure spending, investing nearly $35 billion between July and September, nearly half of which went toward computer chips.
The rapid pace of AI infrastructure expansion has raised questions about sustainability and profitability, as most AI startups have yet to achieve consistent profits. Despite growing scrutiny, companies continue to invest heavily to meet soaring global demand for AI computing power.
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