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AI impact on global fossil fuel emissions

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2026-08-15 14:23 UTC → 2026-08-16 16:24 UTC · added ~~removed~~

Research published in the journal npj Climate Action indicates that artificial intelligence may drive a net increase in global carbon dioxide emissions. While AI is utilized to optimize renewable energy, the study suggests it acts as a productivity amplifier for the fossil fuel industry. By enhancing seismic exploration, autonomous drilling, and predictive maintenance, AI makes oil and gas ~~extraction~~ extraction, refining, and power generation more cost-effective and precise. This efficiency may allow for the exploitation of previously unprofitable or complex deposits. ~~Across various modeled scenarios, researchers~~ Authored by former Microsoft sustainability experts Will and Holly Alpine, the study focuses on ‘enabled emissions’—the indirect pollution caused when AI tools increase industrial efficiency. Researchers estimate that these AI-driven productivity gains ~~in the fossil fuel sector~~ could ~~result in a net annual~~ increase ~~in CO2~~ global energy emissions of by between ~~0.47~~ 1.2% and ~~1.8 gigatonnes. This figure represents approximately 1%~~ 4.8%. In absolute terms, this impact could range from the annual emissions of Mexico to 5% those of Russia, potentially exceeding the ~~global~~ carbon footprint of data centers alone. The authors argue that these enabled emissions may outweigh the environmental benefits AI provides to the development of renewable energy ~~sector’s annual emissions.~~ sources like wind and solar.

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