Analysis questions whether AI emissions-cut claims are being realized

The short version

• A 2023 Google sustainability op-ed and a 2024 statement by OpenAI's CEO both projected large AI-driven climate benefits.[MIT Technology Review]
• A peer-reviewed study estimated AI could cut global emissions by 3.2 to 5.4 billion tons of CO2 annually by 2035.[MIT Technology Review]
• CATL says its AI screening cut materials search time by two orders of magnitude, while independent researchers found Didi Chuxing cut per-trip emissions 16%.[MIT Technology Review]
• Whether projected AI emissions cuts are materializing remains unresolved, and the evidence cited so far is mixed.[MIT Technology Review]

Key facts

• In a 2023 op-ed, Google's head of sustainability and a coauthor wrote that AI could reduce global emissions 5% to 10% by 2030.[MIT Technology Review]
• A peer-reviewed study led by researchers at the London School of Economics' Grantham Research Institute and Systemiq estimated AI could cut global emissions by 3.2 to 5.4 billion tons of CO2 annually by 2035.[MIT Technology Review]
• In 2024, OpenAI CEO Sam Altman said AI would bring major gains, including helping address climate change.[MIT Technology Review]
• Venture capital flowing into cultivated meat fell from a $989 million peak in 2021 to about $83 million in the latest year reported.[MIT Technology Review]
• CATL, a battery maker controlling roughly 40% of the global EV battery market, said its AI system cut candidate-material screening time by two orders of magnitude.[MIT Technology Review]
• Independent researchers found Didi Chuxing cut per-trip emissions 16% on average by using AI-optimized routing to minimize detours.[MIT Technology Review]

Sources

Outlet counts describe coverage, not independent confirmation. Reports may share a wire service or original source.

• The climate case for AI has not been madeMIT Technology Review metered