OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Still standing — but the ground is warm.
53% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- 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
- Design or modify mining and oil field machinery and tools, applying engineering principles
- Specify and supervise well modification and stimulation programs to maximize oil and gas recovery
WHAT IT STILL CAN’T
- 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
- Coordinate the installation, maintenance, and operation of mining and oil field equipment
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 53% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16