Will AI replace Roustabouts, Oil and Gas?
Estimated risk score: 4 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 23).
For the occupation as a whole, from ratings of its 13 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-5071.00 · Construction and Extraction
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 0 of its 13 rated tasks. In O*NET’s words.
None of its rated tasks.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 13 of its 13 rated tasks; the first 6 are shown. In O*NET’s words.
- Bolt together pump and engine parts.
- Move pipes to and from trucks, using truck winches and motorized lifts, or by hand.
- Unscrew or tighten pipes, casing, tubing, and pump rods, using hand and power wrenches and tongs.
- Walk flow lines to locate leaks, using electronic detectors and by making visual inspections, and repair the leaks.
- Clean up spilled oil by bailing it into barrels.
- Cut down and remove trees and brush to clear drill sites, to reduce fire hazards, and to make way for roads to sites.
What the job is
Assemble or repair oil field equipment using hand and power tools. Perform other tasks as needed.
Also called: Roustabout Hand, Roustabout Pusher, Rig Hand, Oil Rigger, Gang Worker, Gas Floor Hand, Oil Floor Hand, Field Specialist.
Closest jobs we score by hand
In the same field (Construction and Extraction). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate