Big tech companies are increasingly turning to nuclear energy to power the massive energy demands of AI training data centers. While this may seem like a solution to the growing energy crisis, experts warn that the industry is rushing into this decision without fully considering the risks involved. The text discusses the potential dangers of nuclear energy, the economic uncertainty surrounding AI's future energy needs, and the challenges of upgrading the electric grid to handle the increased load.
Big technology companies are turning their focus toward nuclear energy to power data centers required to train artificial intelligence tools, but experts are warning the industry might be moving too quickly on that front given the risks involved.recent reports show
Electricity consumption from data centers, AI and the cryptocurrency sector are expected to double from an estimated 460 terawatt-hours in 2022 by 2026, according to data from the International Energy Agency. “It is often referred to as ‘clean’ energy because it doesn’t produce carbon dioxide or other greenhouse gases when electricity is generated," climate group Greenpeace states on its website, noting nuclear waste is harmful to the environment.
If the economy slows down or the gains turn out to be smaller than the industry anticipates or their algorithms become more efficient over time, then less energy will be needed, he said. And because most benefits from nuclear energy come over several decades rather than a few years, there could be sunk costs.
Energy Business NUCLEAR ENERGY AI DATA CENTERS ENERGY CONSUMPTION ELECTRIC GRID
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