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DeSmog review: Big Oil uses AI to find more oil and gas

DeSmog review: Big Oil uses AI to find more oil and gas

3 Key Points

  1. What happened

    A DeSmog review found AI is now embedded in fossil fuel operations at Aramco, Chevron, Equinor, ExxonMobil, Shell and TotalEnergies, from seismic exploration to field development, and a Nature study estimates AI could raise global energy-related CO2 emissions by 1.2 to 4.8%.

  2. Why it matters

    That study found productivity gains in fossil fuel production, not just data centers' electricity use, accounted for most of the modeled emissions increase, suggesting AI may prolong reliance on fossil fuels rather than accelerate the energy transition.

  3. What to watch

    Whether tech providers face accountability hinges on partnerships like Microsoft's 2019 Exxon deal, which the body says Microsoft did not confirm is still active, while Chevron and Exxon have both walked back their 2050 net zero plans.

WHO IT HITSThis lands hardest on corporate sustainability and ESG teams at energy and technology companies, who face scrutiny over whether AI partnerships and climate pledges line up. It also matters to investors assessing oil majors' efficiency gains against their emissions commitments.

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Context & Analysis

The article frames this as a collision between two forces UN Secretary-General António Guterres called defining challenges: Big Oil and artificial intelligence. His warning, that the danger is technology without accountability, sets up the piece's central tension: the tech companies supplying AI to fossil fuel producers are not generally held responsible for the extra production and emissions those tools may enable.

Just two years ago, fossil fuels' share of world energy supply was projected to decline. That changed as AI data centers expanded rapidly, feeding an argument that fossil fuels must also scale up. Natural gas now supplies more than 40% of the power used by U.S. data centers, according to the IEA, and Chevron CEO Mike Wirth has said AI's advance depends on the gas fields of the Permian Basin as much as Silicon Valley.

Industry examples cited in the piece show the mechanism. Equinor re-scanned the Norwegian continental shelf with AI, yielding 27 new discoveries, and saved $130 million last year. Chevron said it improved drilling and fracking efficiency in the Permian Basin by over 30%. Exxon's 2019 Microsoft partnership aimed to add up to 50,000 oil-equivalent barrels a day by 2025. The stakes hinge on whether tech providers like Microsoft, which did not confirm its Exxon partnership is still active, accept responsibility for these downstream effects, and on whether oil majors' weakened net zero timelines invite new scrutiny as their AI-driven output grows.

FAQ
How much can AI generate for the oil and gas industry?
A McKinsey & Co. report estimated AI can generate $65 billion in annual profits for the upstream oil and gas sector in the short term, rising to $230 billion at full potential.
How has Equinor used AI?
Equinor re-scanned the Norwegian continental shelf with new seismic technology and AI, resulting in 27 new oil discoveries, and AI saved the company $130 million last year.
What happened to Chevron and Exxon's net zero goals?
Both have walked back their plans to reach net zero by 2050. Exxon now says it is on track to achieve net zero across its Permian Basin operations by 2035, while Chevron continues to have the aspiration without a timeline.
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