
AI could unlock about $230 billion annually in global upstream oil and gas as technology matures and autonomous operations spread, McKinsey said in a report. Near-term opportunities with existing technology are worth…
AI could unlock about $230 billion annually in global upstream oil and gas as technology matures and autonomous operations spread, McKinsey said in a report. Near-term opportunities with existing technology are worth $65 billion a year, with a medium-term potential of $125 billion as proven tools are adopted more widely.

The report said the value is concentrated in a few applications: the top 10 use cases account for nearly half the potential. Key gains lie in production optimisation, drilling, reservoir management and predictive maintenance. AI-driven exploration could add over $35 billion in balance-sheet value through reserves accretion.
McKinsey warned the shift could challenge oilfield services and equipment firms, with up to $60 billion of revenue at risk at full potential. The industry must move from pilots to large deployments and develop commercial models that share gains.
The upstream oil and gas sector has invested heavily in digital tools over the past decade, but McKinsey's figures show the payoff has been uneven. The report's estimate of $230 billion at full potential assumes autonomous operations, which would require not just technology but regulatory changes and workforce reskilling. The warning on OFSE revenue is notable: if efficiency gains reduce billable work, companies that profit from drilling days or rig hours will need new pricing models. The next signal to watch is whether major operators, particularly state-owned companies in the Gulf and India, announce large-scale AI rollouts beyond pilot projects.
Source: thehindubusinessline.com
This brief was synthesised by AI from the source linked above.