Will AI replace First-Line Supervisors of Construction Trades and Extraction Workers?
Estimated risk score: 43 out of 100
Lower 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 (24 to 62).
For the occupation as a whole, from ratings of its 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-1011.00 · 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: 1 of its 15 rated tasks. In O*NET’s words.
- Record information, such as personnel, production, or operational data on specified forms or reports.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 4 of its 15 rated tasks. In O*NET’s words.
- Provide assistance to workers engaged in construction or extraction activities, using hand tools or other equipment.
- Arrange for repairs of equipment or machinery.
- Confer with managerial or technical personnel, other departments, or contractors to resolve problems or to coordinate activities.
- Train workers in construction methods, operation of equipment, safety procedures, or company policies.
What the job is
Directly supervise and coordinate activities of construction or extraction workers.
Also called: Construction Supervisor, Roustabout Field Supervisor, Foreman, Face Boss, Mine Boss, Road Boss, Quarry Boss, Mine Captain.
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