Will AI replace Engine and Other Machine Assemblers?
Estimated risk score: 15 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 34).
For the occupation as a whole, from ratings of its 12 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-2031.00 · Production
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 12 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: 10 of its 12 rated tasks; the first 6 are shown. In O*NET’s words.
- Fasten or install piping, fixtures, or wiring and electrical components to form assemblies or subassemblies, using hand tools, rivet guns, or welding equipment.
- Lay out and drill, ream, tap, or cut parts for assembly.
- Position or align components for assembly, manually or using hoists.
- Remove rough spots and smooth surfaces to fit, trim, or clean parts, using hand tools or power tools.
- Rework, repair, or replace damaged parts or assemblies.
- Set and verify parts clearances.
What the job is
Construct, assemble, or rebuild machines, such as engines, turbines, and similar equipment used in such industries as construction, extraction, textiles, and paper manufacturing.
Also called: Engine Assembler, Valve Maker, Motor Setter, Valve Setter, Engine Builder, Crane Assembler, Dyno Technician, Machine Builder.
Related jobs, estimated
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