3 Sources
[1]
Fossil Fuels Initially Needed for AI Boom, Nuclear Expert Says
The rise of artificial intelligence will drive a surge in electricity demand that'll initially be met by fossil fuels, before nuclear replaces that source, the head of a body advising Japan's top utility said. As data centers are built in countries like the US and Japan, more natural gas will be needed in the short term as power demand is "rising so fast that we will not have time to build nuclear plants initially," Dale Klein, chairman of the nuclear reform monitoring committee for Tokyo Electric Power Co., told Bloomberg TV. Klein is also a former chairman of the US Nuclear Regulatory Commission.
[2]
Fossil Fuels Initially Needed for AI Boom, Nuclear Expert Says
(Bloomberg) -- The rise of artificial intelligence will drive a surge in electricity demand that'll initially be met by fossil fuels, before nuclear replaces that source, the head of a body advising Japan's top utility said. As data centers are built in countries like the US and Japan, more natural gas will be needed in the short term as power demand is "rising so fast that we will not have time to build nuclear plants initially," Dale Klein, chairman of the nuclear reform monitoring committee for Tokyo Electric Power Co., told Bloomberg TV. Klein is also a former chairman of the US Nuclear Regulatory Commission. The rapid global adoption of AI has triggered a boom in demand for the energy-hungry data centers on which the technology depends, putting power grids to the test. While companies including Microsoft Corp. and Alphabet Inc.'s Google have invested in nuclear power to secure clean electricity for their facilities, that solution can't be applied universally or immediately. "We just cannot meet this big demand for these data centers without nuclear plant, if we're going to maintain a reduction in greenhouse gases," Klein said. Even in the US -- where there's bipartisan political support for atomic energy -- gas will be used to address the boom in power demand from AI, before small, modular reactors and larger plants can be built, according to Klein. In Japan, meanwhile, nuclear power remains a sensitive topic following the 2011 Fukushima disaster. While local electricity demand has been trending downward due to depopulation, experts have suggested that the decline could be reversed as the nation builds more data centers and semiconductor plants. "At the end of the day, if Japan is going to maintain their manufacturing supply chain, and all of their activities, they are going to have to have more and more electricity," Klein said.
[3]
Fossil fuels initially needed for AI boom, Tepco adviser says
The rise of artificial intelligence will drive a surge in electricity demand that'll initially be met by fossil fuels, before nuclear replaces that source, the head of a body advising Tokyo Electric Power Company Holdings said. As data centers are built in countries like the United States and Japan, more natural gas will be needed in the short term as power demand is "rising so fast that we will not have time to build nuclear plants initially," Dale Klein, chairperson of the nuclear reform monitoring committee for Tepco said. Klein is also a former chairperson of the U.S. Nuclear Regulatory Commission. The rapid global adoption of AI has triggered a boom in demand for the energy-hungry data centers on which the technology depends, putting power grids to the test. While companies including Microsoft and Alphabet's Google have invested in nuclear power to secure clean electricity for their facilities, that solution can't be applied universally or immediately.
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Dale Klein, a nuclear expert advising Japan's top utility, predicts that the rapid growth of AI will lead to a significant increase in electricity demand. This demand will initially be met by fossil fuels before transitioning to nuclear power.
The rapid adoption of artificial intelligence (AI) is set to trigger a significant surge in electricity demand, according to Dale Klein, chairman of the nuclear reform monitoring committee for Tokyo Electric Power Co. (Tepco) and former chairman of the US Nuclear Regulatory Commission. Klein predicts that this increased energy requirement will initially be met by fossil fuels before transitioning to nuclear power 1.
As countries like the United States and Japan rush to build data centers to support AI technologies, the immediate solution to meet the escalating power demand will be an increased reliance on natural gas. Klein explains, "Power demand is rising so fast that we will not have time to build nuclear plants initially" 2.
While fossil fuels may be the short-term solution, Klein emphasizes the crucial role of nuclear energy in the long run. He states, "We just cannot meet this big demand for these data centers without nuclear plants, if we're going to maintain a reduction in greenhouse gases" 2. This perspective aligns with the actions of tech giants like Microsoft and Google, who have already invested in nuclear power to secure clean electricity for their facilities 3.
The energy demands of AI-driven data centers are putting power grids to the test globally. In the United States, where there is bipartisan support for atomic energy, Klein predicts a transition from gas to small, modular reactors and larger nuclear plants to address the AI-driven power demand 2.
Japan faces a particular challenge due to its complex relationship with nuclear power following the 2011 Fukushima disaster. Despite a trend of declining electricity demand due to depopulation, experts suggest this could reverse as Japan builds more data centers and semiconductor plants. Klein notes, "At the end of the day, if Japan is going to maintain their manufacturing supply chain, and all of their activities, they are going to have to have more and more electricity" 2.
The rapid global adoption of AI has created a boom in demand for energy-hungry data centers, challenging power grids worldwide. While some tech companies have invested in nuclear power for clean electricity, this solution cannot be applied universally or immediately 3. As the AI revolution continues to unfold, the energy sector faces the complex task of meeting unprecedented demand while balancing environmental concerns and technological progress.
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