● Covered by 1 source · 1 reportMedium impact1 negative
Study finds AI's climate benefits outweighed by increased fossil fuel production
Key points
- AI increases net carbon pollution by 0.47-1.8 gigatonnes annually.
- This represents 1-5% of the energy sector's yearly emissions.
- Fossil fuel AI applications are at scale, renewables are mostly pilot stage.
- Net emissions only fell when AI did not increase fossil fuel productivity.
AI's Net Impact on Carbon Emissions
A recent study has concluded that the productivity gains from AI in the fossil fuel industry contribute more to planet-heating pollution than the benefits derived from AI in renewable energy. The research modeled 64 scenarios, revealing an increase in net yearly carbon pollution ranging from 0.47 to 1.8 gigatonnes. This increase accounts for approximately 1-5% of the energy sector's annual emissions.
First Comprehensive Climate Impact Quantification
This study marks the first time AI's climate impact has been quantified across the entire power sector. Previous research often focused on indirect climate benefits, such as optimizing electricity grids or reducing renewable downtime, without fully accounting for the additional pollution generated by increased productivity in oil and gas extraction. Lynn Kaack, an assistant professor at the Hertie School, noted that earlier studies often compared data center energy use with AI's emission savings, omitting the picture of AI causing emission increases.
Fossil Fuel vs. Renewable Adoption Rates
The researchers found that net emissions only decreased in scenarios where AI did not enhance productivity within the fossil fuel sector. For emissions to break even, productivity gains from AI in renewables would need to be at least four times greater than those in fossil fuels, assuming similar adoption rates. Holly Alpine, a co-author of the study, highlighted that AI applications in fossil fuels are already deployed at scale with real contracts, while renewable applications are largely in pilot or academic stages, facing deployment barriers.
Industry Perspective on AI in Fossil Fuels
The International Energy Agency estimates that AI could boost technically recoverable oil and gas reserves by 5% and reduce deepwater offshore project costs by 10%. Oil and gas executives have expressed enthusiasm for AI's role, with Saudi Aramco stating last year that AI is embedded "in everything" to increase productivity.
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Reporting from
A new study indicates that AI-driven productivity gains in the fossil fuel sector lead to more planet-heating pollution than the gains from renewables avoid. Researchers modeled 64 scenarios and found that net yearly carbon pollution increased by 0.47-1.8 gigatonnes, representing 1-5% of the energy sector's annual emissions. This research is the first to quantify AI's climate impact across the entire power sector, highlighting a previously overlooked aspect of AI's environmental footprint.