BETA

Updated: Feb 6

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BETA

Updated: Feb 6

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

46.7%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low-medium

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

Watch and Clock Repairers

They fix and maintain watches and clocks by examining them, identifying problems, and making necessary repairs to keep them running accurately.

Summary

The career of watch and clock repair is labeled as "Evolving" because, while the core hands-on tasks of fixing these delicate items remain a human job, AI is gradually being introduced in supportive roles. AI tools might help with things like customer communication and organizing schedules, allowing repairers to focus more on their craft.

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Summary

The career of watch and clock repair is labeled as "Evolving" because, while the core hands-on tasks of fixing these delicate items remain a human job, AI is gradually being introduced in supportive roles. AI tools might help with things like customer communication and organizing schedules, allowing repairers to focus more on their craft.

Read full analysis

Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Stable iconStable

99%

99%

Microsoft's Working with AI

AI Applicability

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Stable iconStable

79.1%

79.1%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

11.5%

11.5%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

-1.1%

Growth Percentile:

21.2%

Annual Openings:

0.1

Annual Openings Pct:

0.3%

Analysis of Current AI Resilience

Watch and Clock Repairers

Updated Quarterly • Last Update: 11/22/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

Most watch and clock repair work is still hand-on. Official sources list core tasks like “fabricate parts … using small lathes” [1], “adjust timing regulators… with tweezers” [1], and “demagnetize mechanisms, using demagnetizing machines” [1]. These tasks need precise manual skill and are not performed by any known AI today.

For example, demagnetizing a watch uses a simple machine – there’s no “smart” computer doing it [1]. And although some shops use computer programs for bookkeeping (O*NET even mentions QuickBooks and WatchWare shop software [1]), that’s routine record-keeping, not AI.

In fact, most “AI” stories in watchmaking are about manufacturing, not repair. Trade articles note that luxury watch factories use high-precision robots with AI for assembly and quality control [2]. But those are in big factories, not small repair shops.

Similarly, some shops use ChatGPT‐style tools to connect with customers – for instance, one industry newsletter notes people using ChatGPT to find repair experts [3] – but that’s marketing help, not an AI that fixes watches. In short, we found no examples of AI actually replacing the delicate work of repairing a clock or watch. The core craft – watching, tinkering, and fine calibration – remains a human task.

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AI Adoption

AI Adoption

AI tools are widely discussed in general repair and business settings, but they don’t have a clear niche in watch repair yet. Off-the-shelf AI (like voice bots or chat assistants) might be used for things like answering calls or FAQs – one repair-shop blog even suggests using an AI voice agent to take customer calls [4]. Shops can also build AI-powered “knowledge bases” so new apprentices can ask routine questions and get answers [4].

These uses can save time on paperwork or training, but they don’t replace the actual fixing work.

There are a few reasons AI will likely roll out slowly here. First, the cost and complexity: most repair shops are small businesses, so buying a custom AI robot or system is expensive compared to the benefit. Second, the pay and demand: watchmakers earn a modest wage and there aren’t that many watches to fix each day, so the return on a big investment is low.

Third, trust and tradition: customers who bring in an old family clock or luxury watch generally prefer a skilled craftsman’s touch. Tasks like adjusting a fragile regulator [1] require care and judgment only a human can give. In short, while AI might help with “busy work” (like organizing schedules or answering common questions), the heart of watch repair – the creative, hands-on work – stays in human hands.

These human skills remain valuable and hard to automate, so watch repairers’ jobs are likely safe for now [1] [1].

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More Career Info

Career: Watch and Clock Repairers

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

65% ResilienceCore Task

Repair or replace broken, damaged, or worn parts on timepieces, using lathes, drill presses, and hand tools.

2

65% ResilienceCore Task

Disassemble timepieces and inspect them for defective, worn, misaligned, or rusty parts, using loupes.

3

65% ResilienceCore Task

Perform regular adjustment and maintenance on timepieces, watch cases, and watch bands.

4

65% ResilienceCore Task

Adjust timing regulators, using truing calipers, watch-rate recorders, and tweezers.

5

65% ResilienceCore Task

Demagnetize mechanisms, using demagnetizing machines.

6

55% ResilienceCore Task

Oil moving parts of timepieces.

7

55% ResilienceCore Task

Clean, rinse, and dry timepiece parts, using solutions and ultrasonic or mechanical watch-cleaning machines.

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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