Will AI replace Electromechanical Equipment Assemblers?
Estimated risk score: 7 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 26).
For the occupation as a whole, from ratings of its 14 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-2023.00 · 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 14 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 14 rated tasks; the first 6 are shown. In O*NET’s words.
- Assemble parts or units, and position, align, and fasten units to assemblies, subassemblies, or frames, using hand tools and power tools.
- Attach name plates and mark identifying information on parts.
- Connect cables, tubes, and wiring, according to specifications.
- Disassemble units to replace parts or to crate them for shipping.
- Inspect, test, and adjust completed units to ensure that units meet specifications, tolerances, and customer order requirements.
- Measure parts to determine tolerances, using precision measuring instruments such as micrometers, calipers, and verniers.
What the job is
Assemble or modify electromechanical equipment or devices, such as servomechanisms, gyros, dynamometers, magnetic drums, tape drives, brakes, control linkage, actuators, and appliances.
Also called: Final Assembler, Radio Assembler, Washer Assembler, Segment Assembler, Appliance Assembler, Typewriter Assembler, Wave Guide Assembler, Electro-Instrumentist.
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