Will AI replace petroleum engineers?
Not entirely. Parts of the job are likely to change as AI takes over routine tasks. Petroleum Engineers score 53 out of 100 (elevated exposure), #174 of 923 US jobs. AI could speed up 19 of the job's 23 tasks, 4 of them on its own, while 4 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which petroleum engineers tasks can AI do?
The most exposed tasks include "Maintain records of drilling and production operations"; "Write technical reports for engineering and management personnel"; "Simulate reservoir performance for different recovery techniques, using computer models".
Which petroleum engineers tasks are hardest for AI?
Tasks with little or no AI speed-up include "Test machinery and equipment to ensure that it is safe and conforms to performance specifications"; "Supervise the removal of drilling equipment, the removal of any waste, and the safe return of land to structural stability when wells or pockets are exhausted"; "Inspect oil and gas wells to determine that installations are completed".
Are people already using AI for this work?
Yes. In April–May 2026, 2 of the 23 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as petroleum engineers, and what do they earn?
About 18,060 people in the US, with median pay of $144,910 a year (BLS, May 2025).