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I'm Dr. Anthony Lisewitz, and this is Climate Connections. AI data centers use a huge amount of energy, so as more come online, the demand for electricity is surging, according to an analysis by the Union of Concerned Scientists. Meeting that growing demand could come at a steep cost to the climate and people's health. Co author James Geniak says that under current federal and state policies, utilities will likely invest more in fossil fuels, for example, by building new gas power plants or extending the life of old coal plants.
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When we use more fossil fuels, they lead to more climate, pollution and health consequences.
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But the analysis also shows that if the federal government enacts ambitious clean energy policies and incentives, data center energy needs could be mostly met with wind and solar. And Geniac says tech companies could be required to pay for the development of the clean energy resources and grid upgrades that their data centers require.
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If we have stronger policies, we can avoid increased use of fossil fuels and avoid unnecessary climate pollution and health damages.
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So federal policy changes are critical to minimizing harm from AI data center growth. Climate Connections is produced by the Yale center for Environmental Communication. To learn more about climate change, visit climateconnections.org.
Climate Connections — June 25, 2026
Host: Dr. Anthony Leiserowitz (A)
Guest: James Geniak, Union of Concerned Scientists (B)
This brief episode explores the rapidly growing electricity demands of AI data centers and the environmental implications of that growth. It highlights the risks of increased fossil fuel use if policy remains unchanged, and the opportunities for cleaner solutions with ambitious action.
This episode succinctly connects AI’s growth with urgent choices around energy sourcing and climate policy, emphasizing that the future environmental footprint of AI is still very much in our hands.