Google and Elementl Power Team Up for Nuclear Projects to Power AI

CIOTech Outlook Team | Monday, 12 May 2025, 14:00 IST

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Google in cooperation with Elementl Power is creating three advanced nuclear energy facilities, each with a capacity of 600 megawatts, to match the growing power needs of AI-driven data centers. It was disclosed on Wednesday that Google will supply funds to the projects, with the exact investment amount unsettled at this time.

“Our collaboration with Elementl Power enhances our ability to move at the speed required to meet this moment of AI and American innovation,” said Amanda Peterson Corio, Google’s head of data center energy.

The companies will collaborate with utilities and regulated power providers to advance these projects, delivering safe, carbon-free, base load electricity. “We look forward to working with Google to execute these projects and bring safe, carbon-free, base load electricity to the grid,” said Elementl Power Chairman and CEO Chris Colbert.

The agreement is part of an industry-wide shift as Google, Amazon, and Microsoft look for greener energy to power their AI infrastructure. Within days of Google’s move in October, Amazon disclosed that it was also putting money into small nuclear reactors. Last month, Constellation Energy outlined intentions to restart the site of the 1979 accident at Pennsylvania’s Three Mile Island nuclear plant, in order to supply power to Microsoft’s data centers.

The movement toward nuclear energy in the U.S. is being supported by states, with 25 states passing supportive laws in the past year and over 200 bills being introduced so far in 2025, the Nuclear Energy Institute notes. The rising need for climate-conscious energy options has made advanced nuclear reactors an attractive solution to supply power to the technology sector.

Google, Amazon, and Microsoft are proceeding with investments in solar and wind energy to add to their sources of clean power. This collaboration underscores Google’s commitment to innovative energy solutions, ensuring scalable power for AI advancements while supporting a sustainable future.

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