The Impact of AI Implementation on Electricity Demand and Climate Change Mitigation

From methane monitoring to integrating more renewables into the power mix, artificial intelligence has the potential to transform the energy transition. It can be used to reduce emissions from food systems, and hard-to-abate sectors, like steel and cement manufacturing. 

But the amount of energy AI will require is generating interest, uncertainty and concern. And this is in addition to the need for more electricity to help decarbonize multiple sectors.

So what are the high potential opportunities for using AI to combat climate change and what are the risks? How will AI exacerbate existing stress on the power sector? And what are some of the opportunities to lower costs and increase efficiencies?  

This week host Jason Bordoff talks with two of the authors of the “Roadmap on Artificial Intelligence for Climate Change Mitigation,” David Sandalow and Alp Kucukelbir.

David Sandalow is the inaugural fellow at the  Center on Global Energy Policy. Previously, David served at the U.S. Department of Energy and was a senior fellow at the Brookings Institution. He has served as assistant secretary of state for oceans, environment, and science, and as a senior director on the National Security Council staff. 

Alp Kucukelbir is the co-founder and chief scientist  at Fero Labs. He is an adjunct professor of computer science at Columbia University and leads the entrepreneurship efforts at Climate Change AI.