Will AI replace Automotive Service Technicians and Mechanics?
Estimated risk score: 18 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 37).
For the occupation as a whole, from ratings of its 30 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 49-3023.00 · Installation, Maintenance, and Repair
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 30 rated tasks. In O*NET’s words.
- Plan work procedures, using charts, technical manuals, and experience.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 26 of its 30 rated tasks; the first 6 are shown. In O*NET’s words.
- Align wheels, axles, frames, torsion bars, and steering mechanisms of automobiles, using special alignment equipment and wheel-balancing machines.
- Change spark plugs, fuel filters, air filters, and batteries in hybrid electric vehicles.
- Disassemble units and inspect parts for wear, using micrometers, calipers, and gauges.
- Install, adjust, or repair hydraulic or electromagnetic automatic lift mechanisms used to raise and lower automobile windows, seats, and tops.
- Maintain cleanliness of work area.
- Overhaul or replace carburetors, blowers, generators, distributors, starters, and pumps.
What the job is
Diagnose, adjust, repair, or overhaul automotive vehicles.
Also called: Automotive Mechanic (Auto Mechanic), Frameman, Lube Tech, Tire Tech, Trim Tech, AC Mechanic, Wheel Tuner, Wheelwright.
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