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Episode 14 explores the often-overlooked environmental impacts of artificial intelligence — from massive electricity and water use in data centers to rare mineral demand and growing e-waste. It explains how efficiency gains can be offset by the rebound effect as AI use expands.
The show outlines five practical responses: standardized measurement, greener data center design, responsible recycling, policy and incentives, and using AI itself to drive sustainability — showing both the risks and the potential for AI to help solve climate challenges.
Episode 14 explores the often-overlooked environmental impacts of artificial intelligence — from massive electricity and water use in data centers to rare mineral demand and growing e-waste. It explains how efficiency gains can be offset by the rebound effect as AI use expands.
The show outlines five practical responses: standardized measurement, greener data center design, responsible recycling, policy and incentives, and using AI itself to drive sustainability — showing both the risks and the potential for AI to help solve climate challenges.