Will AI replace Automotive Body and Related Repairers?
Estimated risk score: 11 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 30).
For the occupation as a whole, from ratings of its 25 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 49-3021.00 · 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: 0 of its 25 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: 23 of its 25 rated tasks; the first 6 are shown. In O*NET’s words.
- Adjust or align headlights, wheels, and brake systems.
- Apply heat to plastic panels, using hot-air welding guns or immersion in hot water, and press the softened panels back into shape by hand.
- Chain or clamp frames and sections to alignment machines that use hydraulic pressure to align damaged components.
- Clean work areas, using air hoses, to remove damaged material and discarded fiberglass strips used in repair procedures.
- Cut and tape plastic separating film to outside repair areas to avoid damaging surrounding surfaces during repair procedure and remove tape and wash surfaces after repairs are complete.
- File, grind, sand, and smooth filled or repaired surfaces, using power tools and hand tools.
What the job is
Repair and refinish automotive vehicle bodies and straighten vehicle frames.
Also called: Body Man, Auto Body Man, Body Technician (Body Tech), Automotive Body Technician (Auto Body Tech), Body Tech, Frame Man, Body Sander, Metal Bumper.
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