AI: Up to 1.8 Billion Tons of CO₂ per Year by 2035
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According to a publication in NPJ Climate Action, the increase in productivity linked to AI in the oil, gas, and coal sectors could lead to more emissions than those generated by data centers. Projections based on data from the IEA foresee up to 1.8 billion additional tons of CO₂ per year by 2035. Researchers warn that the main climate impact of AI may not stem from the electricity consumption of these infrastructures.
Scenarios project an addition of 1.8 billion tons of CO₂/year by 2035
In the scenarios studied, developed from estimates by the International Energy Agency (IEA), the footprint rises to 1.8 billion tons of additional CO₂ per year by 2035. These quantified projections are derived from the study.
The productivity effect of fossil fuels would surpass that of data centers
The study indicates that productivity improvements due to AI in the extraction of oil, gas, and coal could result in emissions exceeding those of data centers. It also suggests that the major climate impact of AI may not reside in the electricity consumption of these centers.
A peer-reviewed publication in Nature Portfolio
The work has been published in NPJ Climate Action, a peer-reviewed scientific journal from the Nature Portfolio group. Researchers publish this alert, indicating that the carbon footprint of AI could surpass that of data centers.
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