AI Productivity Gains Drive Global CO₂ Increase, Study Finds
TL;DR. A new energy-economy model shows AI-driven productivity increases global CO₂ emissions by 0.47–1.8 gigatonnes annually. - AI boosts fossil fuel sector efficiency more than it aids renewables, leading to higher net emissions. - The study quantifies both enabled emissions from fossil fuel gains and avoided emissions from renewables. - Policy intervention is required to steer AI's effects towards reducing carbon intensity, researchers conclude.
- AI-driven productivity gains are projected to increase net annual CO₂ emissions by 0.47–1.8 gigatonnes.
- AI's impact on fossil fuel productivity enables more emissions than it helps avoid through renewables optimization.
- Net emissions reductions require renewables gains to be 4–5 times greater than fossil fuel gains.
- Without policy steering, AI's effects will likely increase the global economy's carbon intensity and reinforce fossil fuel use.