Will AI replace Timing Device Assemblers and Adjusters?
Estimated risk score: 10 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 29).
For the occupation as a whole, from ratings of its 17 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-2061.00 · 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: 1 of its 17 rated tasks. In O*NET’s words.
- Review blueprints, sketches, or work orders to gather information about tasks to be completed.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 14 of its 17 rated tasks; the first 6 are shown. In O*NET’s words.
- Assemble and install components of timepieces to complete mechanisms, using watchmakers' tools and loupes.
- Bend parts, such as hairsprings, pallets, barrel covers, and bridges, to correct deficiencies in truing or endshake, using tweezers.
- Clean and lubricate timepiece parts and assemblies, using solvents, buff sticks, and oil.
- Disassemble timepieces such as watches, clocks, and chronometers so that repairs can be made.
- Observe operation of timepiece parts and subassemblies to determine accuracy of movement, and to diagnose causes of defects.
- Replace specified parts to repair malfunctioning timepieces, using watchmakers' tools, loupes, and holding fixtures.
What the job is
Perform precision assembling or adjusting, within narrow tolerances, of timing devices such as digital clocks or timing devices with electrical or electronic components.
Also called: Clockmaker, Watch Technician, Poiser, Pallet Maker, Calibrationist, Timing Adjuster, Watch Assembler, Barrel Assembler.
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