![]() The data center industry faces a critical power supply challenge that may not be solved by simply waiting for new nuclear power sources, according to Neil Sahota, CEO of ACSILabs and UN AI advisor. He argues that energy consumption will outpace new power generation, and efficiency improvements in existing systems have reached their limits. A December 2024 Grid Strategies report projects that U.S. data center power demand could reach 90 gigawatts by 2029, representing nearly 10% of the total forecast load. Improved energy efficiency might paradoxically lead to increased computing demand rather than reduced energy consumption. Sahota proposes a radical solution: redesigning computing systems from scratch to minimize power usage and heat generation, potentially using AI to help develop these new systems. This view is shared by others, including Vaire Computing CEO Rodolfo Rosini, who is pursuing reversible computing as a solution. However, this approach faces significant challenges. The financial burden is substantial, considering the hundreds of billions already invested in existing data center infrastructure. Dell'Oro Group estimates data center capital expenditure reached $400 billion in 2024, with companies like Microsoft planning to spend $80 billion on data centers in 2025. Not everyone agrees with Sahota's perspective. Applied Digital CEO Wesley Cummins advocates for nuclear power as a long-term solution while focusing on utilizing stranded power sources, particularly wind energy in remote locations. His company is developing a 400 MW data center in North Dakota and plans expansion to Texas and Pennsylvania. The debate is further complicated by government priorities, particularly in the United States, where technological leadership in AI development may take precedence over sustainability concerns. As Cummins notes, "The United States dominating in the AI race is probably the most important thing we'll ever do."
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