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Unpacking AI’s Energy Dilemma: Who Bears the Cost?

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AI’s Power Problem: Who Pays the Price?

The increasing reliance on artificial intelligence (AI) and data centers is reshaping the U.S. electric grid and energy consumption. As AI models require vast computing resources, the U.S. now hosts over 3,600 data centers, primarily in 15 states, with their energy demand projected to rise from 2% to 10% by 2027. Data centers utilize significant amounts of power, comparable to that of entire states, raising concerns about local utility rates. Cooling these facilities accounts for 40% of their energy usage, further straining resources. In response, companies seek energy-efficient solutions, such as using fewer chips and optimizing AI operations during off-peak hours. Localized computing tools are emerging to minimize reliance on large data hubs. As AI continues to grow, balancing efficiency with sustainability becomes crucial. Investments from major firms underscore the urgency to develop data center infrastructure while addressing environmental impacts.

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