Will AI accelerate or delay the race to net-zero emissions?

Will AI accelerate or delay the race to net-zero emissions?

25 April 2024 | Amy Luers, Jonathan Koomey, Eric Masanet, Owen Gaffney, Felix Creutzig, Juan Lavista Ferres & Eric Horvitz
The article discusses the potential impact of artificial intelligence (AI) on global emissions and climate change. While AI is transforming various sectors, its direct and indirect effects on emissions are uncertain. Direct impacts include increased energy consumption for AI operations, which currently account for about 0.01% of global greenhouse gas emissions. Indirect effects, such as improvements in energy efficiency, supply chain optimization, and the development of new materials, could have both positive and negative consequences. The authors call for the development of policy-relevant scenarios to quantify these effects under different assumptions, emphasizing the need for improved data, analytical frameworks, and international collaboration. They suggest that an international consortium should be established to develop and regularly update these scenarios, ensuring transparency and accessibility of data and models. The goal is to provide policymakers, investors, and the scientific community with tools to make informed decisions about AI's role in achieving net-zero emissions.The article discusses the potential impact of artificial intelligence (AI) on global emissions and climate change. While AI is transforming various sectors, its direct and indirect effects on emissions are uncertain. Direct impacts include increased energy consumption for AI operations, which currently account for about 0.01% of global greenhouse gas emissions. Indirect effects, such as improvements in energy efficiency, supply chain optimization, and the development of new materials, could have both positive and negative consequences. The authors call for the development of policy-relevant scenarios to quantify these effects under different assumptions, emphasizing the need for improved data, analytical frameworks, and international collaboration. They suggest that an international consortium should be established to develop and regularly update these scenarios, ensuring transparency and accessibility of data and models. The goal is to provide policymakers, investors, and the scientific community with tools to make informed decisions about AI's role in achieving net-zero emissions.
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