Artificial Intelligence: Implications for Energy and the Environment

The Environmental and Energy Study Institute (EESI) held a briefing discussing the intersection of artificial intelligence (AI) and climate change in federal policy-making. While AI can aid in climate resilience and boost economic competitiveness, it is also on a trajectory to increase energy demand, greenhouse gas emissions, and water usage. This paradox presents an important opportunity for discussion on how to best minimize the negative impacts of AI on the environment and harness its powers for a sustainable future. This briefing provided a foundational understanding of AI’s role in the climate and energy arena. Panelists discussed the massive energy and water needs of data centers that run AI algorithms. They also layed out how the technology is already being put to use—from precision agriculture to resilient grid infrastructure and improved weather forecasting. The briefing highlighted the frontiers of AI, including the federal government’s role in research and development at the Department of Energy’s National Laboratories, and explored Congress’s role in aligning the rapid rise of AI development and usage with global goals to reduce greenhouse gas emissions and adapt to climate impacts.

You can listen to Artificial Intelligence: Implications for Energy and the Environment online on Radio and Podcast. Open the player on this page to stream the available audio.

Artificial Intelligence: Implications for Energy and the Environment is an episode from Environmental and Energy Study Institute (EESI) by Carol Werner.

This episode is 57:09 long.

This episode was published on Oct 9, 2025.

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