AI's Hidden Climate Cost: What Tech Companies Enable

Max Simonsson profile image Max Simonsson 2 min
High-angle view of an offshore oil platform with helipad surrounded by deep blue ocean.
© Photo: GANESH RAMSUMAIR / Pexels

A groundbreaking study reveals that artificial intelligence, while often praised for its potential to accelerate progress, is significantly worsening climate pollution. Far beyond the energy consumed by data centers, AI tools are actively boosting oil and gas production, making it faster and cheaper to extract fossil fuels. This surge in 'enabled emissions' adds billions of tons of carbon dioxide to our atmosphere annually, gravely undermining global efforts to combat the climate crisis. The research highlights an urgent need for accountability within the tech industry regarding its partnerships with fossil fuel companies.

A recent study by former Microsoft employees, Will and Holly Alpine, sheds new light on how artificial intelligence is accelerating climate change. Their research, published in Nature, found that the 'enabled emissions' from AI making oil and gas extraction more efficient are far more damaging than the energy used by AI data centers themselves. This means technology designed to innovate is inadvertently boosting the very industry we need to move away from.

These AI-driven efficiencies are dramatically expanding fossil fuel production that otherwise wouldn't occur. The study estimates this adds between 0.47 and 1.8 gigatonnes of carbon dioxide to our atmosphere annually, representing 1.2 to 4.8 percent of global energy-related emissions in 2024. To put that in perspective, this is up to 13 times greater than the emissions caused by the data centers powering AI platforms.

Oil and gas companies are eagerly adopting AI to find new reserves faster and cheaper. Consultancy firms like Boston Consulting Group and Wood Mackenzie highlight how AI can slash the time needed to analyze complex geological data from months to mere weeks. This speeds up drilling and can unlock billions of barrels of oil from existing fields, making fossil fuels more profitable and extending their lifespan against climate goals.

While AI certainly holds promise for advancing renewable energy, strengthening power grids, and improving overall efficiency—as shown by efforts from companies like Google and Microsoft to reduce their own data center emissions or match them with renewables—its current impact on fossil fuels is profoundly asymmetric. As Will Alpine notes, AI acts as an economic lever, making fossil fuels more viable and dominant, rather than accelerating the shift to cleaner alternatives.

This underscores a critical issue: until these 'enabled emissions' are properly recognized and governed, we are missing a significant piece of AI's climate footprint. Clara Vondrich of Public Citizen strongly criticized this trend, stating that tech companies, despite their climate pledges, are working closely with Big Oil to burn more fossil fuels. It's a stark reminder that addressing the climate crisis requires a comprehensive look at how all technologies are deployed, ensuring they truly support a sustainable future.