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AI Boosts Oil, Gas: Climate Fears Rise
10 Aug
Summary
- AI's gains in oil and gas may add 1.8 billion tonnes of CO2 annually.
- Renewable energy sector needs huge gains to offset fossil fuel increases.
- AI's impact on fossil fuels outstrips data center emissions.

A recent peer-reviewed report suggests that artificial intelligence will substantially increase global carbon emissions, primarily by enhancing fossil fuel extraction. AI adoption in upstream oil and gas is predicted to reduce drilling costs and improve recovery rates, making fossil fuels more abundant and cheaper.
This expansion of fossil fuel supply could add between 0.5 billion and 1.8 billion tonnes of carbon dioxide to the atmosphere annually. While AI can also boost renewable energy output, the report's authors, affiliated with the Enabled Emissions Campaign, state that these gains are likely to be offset.
The research indicates that the emissions impact from energy companies utilizing AI is significantly greater than the direct environmental impact of data centers. Productivity gains in oil and gas also create broader economic ripple effects across various sectors, further increasing emissions.
The report advocates for climate and AI policy frameworks that consider 'enabled emissions' and implement carbon pricing, alongside limits on AI-driven fossil fuel expansion, to mitigate these risks.