Why AI Might Actually Prolong the Fossil Fuel Era

A paper published in the journal npj Climate Action warns that the industry’s adoption of AI could reinforce fossil fuel incumbency. The authors argue that for net emissions to decrease, efficiency gains in renewables must outpace those in the oil sector by a factor of four or five—a threshold current trends fail to meet. Because the same digital tools optimize both sectors, the fossil fuel industry is effectively capturing the technological revolution to secure its own longevity.

Energy supermajors are already translating these capabilities into tangible results. Rystad Energy projects that AI and digitalization will generate nearly $500 billion in value for exploration and production firms between 2026 and 2030, driven by cost reductions and increased recovery rates. Wood Mackenzie analysts suggest the technology could even unlock an extra trillion barrels of oil from existing reservoirs by identifying resources previously considered inaccessible.

Major players are moving quickly to integrate these tools. ExxonMobil CEO Darren Woods recently credited AI with identifying new drilling opportunities in Guyana’s Stabroek Block, while Chevron CEO Mike Wirth noted that such technology is already shortening cycle times and improving subsurface visibility. Rather than signaling a shift away from hydrocarbons, these investments reflect a strategic push to extract more value from traditional assets, challenging the assumption that AI-driven efficiency will serve primarily environmental goals.