AI exposure by occupation, O*NET 51-2061.00
Will AI replace Timing Device Assemblers and Adjusters?
Timing Device Assemblers and Adjusters: AI can already handle 1 of 17 tasks; most of the work is hands-on, and the part AI can address mostly needs an efficient-tier model.
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Every task, scored
The 17 tasks O*NET 30.3 lists for Timing Device Assemblers and Adjusters, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Review blueprints, sketches, or work orders to gather information about tasks to be completed. | Estimated | Efficient | |
| Assemble and install components of timepieces to complete mechanisms, using watchmakers' tools and loupes. | Estimated | Efficient | |
| Replace specified parts to repair malfunctioning timepieces, using watchmakers' tools, loupes, and holding fixtures. | Estimated | Efficient | |
| Disassemble timepieces such as watches, clocks, and chronometers so that repairs can be made. | Estimated | Efficient | |
| Change timing weights on balance wheels to correct deficient timing. | Estimated | No tier | |
| Adjust sizes or positioning of timepiece parts to achieve specified fit or function, using calipers, fixtures, and loupes. | Estimated | No tier | |
| Test operation and fit of timepiece parts and subassemblies, using electronic testing equipment, tweezers, watchmakers' tools, and loupes. | Estimated | No tier | |
| Mount hairsprings and balance wheel assemblies between jaws of truing calipers. | Estimated | No tier | |
| Clean and lubricate timepiece parts and assemblies, using solvents, buff sticks, and oil. | Estimated | No tier | |
| Estimate spaces between collets and first inner coils to determine if spaces are within acceptable limits. | Estimated | No tier | |
| Bend inner coils of springs away from or toward collets, using tweezers, to locate centers of collets in centers of springs, and to correct errors resulting from faulty colleting of coils. | Estimated | No tier | |
| Turn wheels of calipers and examine springs, using loupes, to determine if center coils appear as perfect circles. | Estimated | No tier | |
| Examine components of timepieces such as watches, clocks, or chronometers for defects, using loupes or microscopes. | Estimated | No tier | |
| Examine and adjust hairspring assemblies to ensure horizontal and circular alignment of hairsprings, using calipers, loupes, and watchmakers' tools. | Estimated | No tier | |
| Tighten or replace loose jewels, using watchmakers' tools. | Estimated | No tier | |
| Bend parts, such as hairsprings, pallets, barrel covers, and bridges, to correct deficiencies in truing or endshake, using tweezers. | Estimated | No tier | |
| Observe operation of timepiece parts and subassemblies to determine accuracy of movement, and to diagnose causes of defects. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 17 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 17 of 17. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
An efficient-tier model or lower covers 24% of the role's importance-weighted task work. 24% of the work is something AI can address at some tier, and 76% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 250
- Median annual wage
- $62,620
- Middle half of earners
- $29,040 to $72,740
- Projected change, 2024 to 2034
- -17.5%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Watch and Clock Repairers 75% skill overlap, about 9 months to move Exposure16
- Electrical and Electronic Equipment Assemblers 64% skill overlap, about 13 months to move Exposure29
- Electromechanical Equipment Assemblers 62% skill overlap, about 14 months to move Exposure15
- Engine and Other Machine Assemblers 59% skill overlap, about 15 months to move Exposure38
- Calibration Technologists and Technicians 57% skill overlap, about 15 months to move Exposure47
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Timing Device Assemblers and Adjusters and AI
Will AI replace Timing Device Assemblers and Adjusters?
AI already handles 1 of the 17 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 18 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -17.5% from 2024 to 2034.
What is the AI exposure of Timing Device Assemblers and Adjusters?
18 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 17 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 17 are estimated from each task's O*NET work activity.
Which Timing Device Assemblers and Adjusters tasks can AI already do?
The tasks with the highest exposure are: Review blueprints, sketches, or work orders to gather information about tasks to be completed. It is the only task that reach 60 or more.
What AI model tier does this role need?
An efficient-tier model or lower covers 24% of the role's importance-weighted task work, and 76% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Timing Device Assemblers and Adjusters, and what do they earn?
250 people in the United States, with a median annual wage of $62,620 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -17.5% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Timing Device Assemblers and Adjusters. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/timing-device-assemblers-and-adjusters
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