Headline risk
14%
Low RiskWatch and clock repairers
AI displacement pressure score for United States AI Work Index, combining global AI task overlap with local wages, employment trends, and demand signals.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Repair, clean, and adjust mechanisms of timing instruments, such as watches and clocks. Includes watchmakers, watch technicians, and mechanical timepiece repairers.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 60,690
Employment 2024
1.4K
Projected Change (2024–34)
-1.1%
Openings (2024–34)
0.1K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Reassemble timepieces, replacing glass faces and batteries, before returning them to customers. AI use: 0%
- 2. Clean, rinse, and dry timepiece parts, using solutions and ultrasonic or mechanical watch-cleaning machines. AI use: 0%
- 3. Adjust timing regulators, using truing calipers, watch-rate recorders, and tweezers. AI use: 0%
- 4. Repair or replace broken, damaged, or worn parts on timepieces, using lathes, drill presses, and hand tools. AI use: 0%
- 5. Oil moving parts of timepieces. AI use: 0%
- 6. Disassemble timepieces and inspect them for defective, worn, misaligned, or rusty parts, using loupes. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 42.1 · 5.1M employed
Under 25: 11% · 25–54: 66% · 55+: 23%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Data quality
Employment data available
Narrative & sources
Important context
This score measures structural AI displacement pressure, not actual job losses. Local wages and demand data are specific to United States AI Work Index; the underlying AI task overlap analysis is consistent across all countries.