Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They fix and maintain watches and clocks by examining them, identifying problems, and making necessary repairs to keep them running accurately.
This role is evolving
The career of watch and clock repair is labeled as "Evolving" because while most of the work is still done by skilled human hands, there's potential for AI to play a supportive role in the future. AI could help with tasks like organizing records or spotting tiny defects, but repairing delicate and unique timepieces remains a job that relies on human expertise and fine motor skills.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
The career of watch and clock repair is labeled as "Evolving" because while most of the work is still done by skilled human hands, there's potential for AI to play a supportive role in the future. AI could help with tasks like organizing records or spotting tiny defects, but repairing delicate and unique timepieces remains a job that relies on human expertise and fine motor skills.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Watch and Clock Repairers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Even today, watch and clock repair is overwhelmingly a human-driven job. Official data (O*NET) notes this work as “95% not at all automated” [1]. Repairers still clean parts by hand or with ultrasonic machines and make tiny gears on small lathes [1] [1].
They ask owners about the problem and then inspect the watch directly [1] – something no AI tool currently does on its own. Shops do use basic software (QuickBooks, Excel or specialized watch-shop databases) to log repairs and parts [1], but that’s banal record-keeping, not smart automation. A few labs have built experimental helpers – for example, an “edge AI” camera can flag bent gear teeth in real time [2] – but these are prototypes, not standard tools.
In short, cleaning and filing parts use simple machines, but diagnosing and fixing a unique timepiece still relies on the watchmaker’s eyes and hands.

AI in the real world
Several factors suggest AI will enter this field cautiously. There are only about 1,880 watch/clock repairers nationwide [3], and their median wage (~$24/hr) is relatively low [3]. This small, specialized market makes it hard to justify big investment in robotics or AI.
Major watch companies themselves are not expanding – for instance, the Swiss watch industry shrunk 1.3% in 2025 [4] – so budgets for automation are tight. Economically, human skills still “pay off” better: each repair can be quite different, so a flexible craftsman survives better than a one-trick machine. Socially, many customers of luxury or antique watches trust humans more for delicate work than a robot.
Legally and ethically, there’s nothing blocking AI here, but no push either; it’s simply a tradition-rich trade. In summary, while AI might eventually help in side roles (scheduling, digital records or training), core watch repair – diagnosing problems, fabricating or fitting parts, and valuing repairs – will likely remain a human craft for now [1] [1]. The good news is that attention to detail and problem-solving remain highly valued skills in this field.

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Median Wage
$60,690
Jobs (2024)
1,400
Growth (2024-34)
-1.1%
Annual Openings
100
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Test and replace batteries and other electronic components.
Estimate repair costs and timepiece values.
Fabricate parts for watches and clocks, using small lathes and other machines.
Repair or replace broken, damaged, or worn parts on timepieces, using lathes, drill presses, and hand tools.
Disassemble timepieces and inspect them for defective, worn, misaligned, or rusty parts, using loupes.
Adjust timing regulators, using truing calipers, watch-rate recorders, and tweezers.
Reassemble timepieces, replacing glass faces and batteries, before returning them to customers.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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