AI exposure Production
Will AI replace timing device assemblers and adjusters?
Timing Device Assemblers and Adjusters. US occupation 51-2061.
The reading
3.9%
of the time timing device assemblers and adjusters spend on their work goes on tasks where AI is already being used to do that work.of timing device assemblers and adjusters' working hours go on tasks AI has already started taking off their plate.
Ranked 278 of 756 US occupations. More exposed than 62% of them.Further along than 62% of them.
Per cent of working time Square-law scale
Average US job 7.7%
Around the middle of the pack.Keeping pace with the average job.
What AI already does for timing device assemblers and adjustersWhat timing device assemblers and adjusters no longer do alone
O*NET lists 17 tasks for timing device assemblers and adjusters. AI use at work shows up in 1 of them. Each score runs from 0.5, where every observed use helps a person with the task, to 1, where every use does the task outright.
- Review blueprints, sketches, or work orders to gather information about tasks to be completed. mostly automated 1.00
What it does not touch, yetWhat still needs a human
16 of the 17 tasks show no AI use at work in the data.
- Assemble and install components of timepieces to complete mechanisms, using watchmakers' tools and loupes.Core task
- Bend parts, such as hairsprings, pallets, barrel covers, and bridges, to correct deficiencies in truing or endshake, using tweezers.Core task
- Clean and lubricate timepiece parts and assemblies, using solvents, buff sticks, and oil.Core task
- Disassemble timepieces such as watches, clocks, and chronometers so that repairs can be made.Core task
- Examine components of timepieces such as watches, clocks, or chronometers for defects, using loupes or microscopes.Core task
- Observe operation of timepiece parts and subassemblies to determine accuracy of movement, and to diagnose causes of defects.Core task
Show the other 10
- Replace specified parts to repair malfunctioning timepieces, using watchmakers' tools, loupes, and holding fixtures.Core task
- Test operation and fit of timepiece parts and subassemblies, using electronic testing equipment, tweezers, watchmakers' tools, and loupes.Core task
- Adjust sizes or positioning of timepiece parts to achieve specified fit or function, using calipers, fixtures, and loupes.
- 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.
- Change timing weights on balance wheels to correct deficient timing.
- Estimate spaces between collets and first inner coils to determine if spaces are within acceptable limits.
- Examine and adjust hairspring assemblies to ensure horizontal and circular alignment of hairsprings, using calipers, loupes, and watchmakers' tools.
- Mount hairsprings and balance wheel assemblies between jaws of truing calipers.
- Tighten or replace loose jewels, using watchmakers' tools.
- Turn wheels of calipers and examine springs, using loupes, to determine if center coils appear as perfect circles.
How that compares
Among the 98 production occupations, timing device assemblers and adjusters rank 8. The group averages 0.8%, and its most exposed job is Computer Numerically Controlled Tool Programmers at 12.1%. The average US occupation sits at 7.7%.
Just above in the ranking
- 275Therapists, All Other 4.0%
- 278Helpers--Production Workers 3.9%
- 278Magnetic Resonance Imaging Technologists 3.9%
Just below
What this does and does not mean
Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.
A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.
Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.