Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for Watch and Clock Repairers:
37.7%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forWatch and Clock Repairers
$60,690 median salary•100 annual openings•SOC Code: 49-9064.00
Watch and Clock Repairers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Watch and clock repair earns a "Somewhat Resilient" label because AI is genuinely changing parts of the workflow, especially in diagnostics and quality checks, but the hands-on craft at the heart of the job remains hard to automate. The physical precision required to handle tiny parts, adjust delicate mechanisms, and restore century-old timepieces scores very low on automation risk, and even cutting-edge AI still struggles to reliably read a basic analog clock face.
Learn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
Watch and clock repair earns a "Somewhat Resilient" label because AI is genuinely changing parts of the workflow, especially in diagnostics and quality checks, but the hands-on craft at the heart of the job remains hard to automate. The physical precision required to handle tiny parts, adjust delicate mechanisms, and restore century-old timepieces scores very low on automation risk, and even cutting-edge AI still struggles to reliably read a basic analog clock face.
Read full analysisAnalysis of Current AI Resilience
Watch and Clock Repairers
Updated Quarterly

How is AI changing Watch and Clock Repairers jobs?
If you love precision, tiny parts, and craftsmanship, here's some good news: watch and clock repair is one of the trades where AI is mostly augmenting skilled humans rather than replacing them. At the top of the industry, Rolex CEO Jean-Frédéric Dufour publicly confirmed for the first time that the brand uses AI, telling interviewers "We use AI for many aspects. It helps you program the machines.
It helps you maintain the machines. But we're not using it when it comes to human interaction. If you call after-sales service, it won't be AI answering.
AI can also help with the final quality test. But you cannot replace human eyes with AI." In a WatchPro feature from February 2026 [1], Dufour added that "AI helps program and maintain the machines. It enhances human capability." Audemars Piguet's CEO told CNN in April 2026 [2] that "We service watches (even) from 150 years ago, and AI helps us to recover the design of the watch, the components of the watch...
In the supply chain, in restoration, in client services, AI is a fundamental tool." Independent shops are testing AI-assisted diagnostics [3] that analyze a watch's performance data to help identify potential problems before they become severe and suggest optimal repair strategies, which is particularly valuable for complicated timepieces where multiple intricate systems must be balanced. Notably, current AI still can't reliably handle one of the simplest watch tasks: a University of Edinburgh study reported by ScienceDaily [4] found that state-of-the-art AI models can't reliably interpret clock-hand positions or correctly answer questions about dates on calendars, because understanding analogue clocks requires a combination of spatial awareness, context and basic maths.
Sources

How fast is AI adoption growing for Watch and Clock Repairers?
Adoption is moving fast at huge factories but slowly at the repair bench. A Deloitte Swiss Watch Industry Study [5] found that AI use is evolving in the industry, with nearly a third (29%) of brands now planning to use AI to support creative product development, up from 20% in 2023, and WatchPro [1] notes that watchmaking at scale cannot be done profitably today without robotics, precision machinery and artificial intelligence — Rolex invests roughly CHF 100 million a year to refresh and upgrade these tools. But for the people actually fixing watches, three forces slow AI down.
First, the work is highly physical: tasks like fabricating tiny parts on a lathe or adjusting a balance wheel score only 7–9% on automation risk because they require steady hands and feel. Second, customer trust in luxury repair is built on human craft — Rolex deliberately frames AI as a tool, not a replacement, used to support precision while the craft still lives in the hands and eyes of watchmakers. Third, there's actually a severe labor shortage; the same CNN report [2] highlights how brands are turning to technology partly to keep up with demand.
So if you're considering this career, the realistic future is one where you'll use AI diagnostics and digital records as helpers — while your hands, eyes, and judgment remain the most valuable tools on the bench.
Sources

Will AI replace Watch and Clock Repairers?
Not entirely. We think AI will take over some tasks, but not the whole job.
Watch and clock repair earns a 37.7% AI Resilience Score, which tells you this field is feeling real pressure. But the pressure is mostly reshaping the work, not eliminating it. AI is already helping diagnose problems in complicated movements and supporting quality checks at the manufacturing level [1]. Rolex uses AI to program and maintain machines and assist with final quality tests, but its CEO is clear that human eyes and hands remain central to the craft [1]. Audemars Piguet uses AI to recover designs and components when servicing watches that are over 150 years old [2]. These are tools, not replacements.
What stays human is the physical, judgment-heavy work at the bench: fabricating tiny parts, adjusting a balance wheel, and earning a customer's trust with a treasured heirloom. Notably, state-of-the-art AI still cannot reliably read analogue clock hands, because the task requires spatial awareness, context, and basic math together [4]. The bigger concern here is the job market itself, which is shrinking over the long term. If you pursue this career, go in knowing the demand picture is limited, but the craftspeople who combine traditional skill with AI-assisted diagnostics will be the hardest to replace.
Sources

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Latest AI news for Watch and Clock Repairers
The recommended articles provide valuable insights for aspiring watch and clock repairers, highlighting the integration of AI in the field. For instance, "Cutting-Edge Watch Repair Techniques for Spring 2025" discusses AI's ability to analyze performance data, enabling repairers to preemptively address issues. Additionally, "Impact of AI on Smartwatches" showcases how AI enhances functionality, indicating a growing market for repair professionals skilled in smart technology. Embracing these advancements can foster resilience in this career, ensuring repairers remain relevant in an evolving landscape.
Cutting-Edge Watch Repair Techniques for Spring 2025
www.grayandsons.com • 6/20/2026
Apr 7, 2025 — AI-powered systems can analyze a watch's performance data, helping to identify potential problems before they become severe and suggesting ... Read more
Impact of AI on Smartwatches in Today's Life
www.greenlion.net • 6/20/2026
Dec 12, 2024 — AI has greatly enhanced smartwatches, making them more personalized and efficient. AI helps summarize notifications, create custom watch faces, and allows ... Read more
AI's Impact Depends on Timing Solutions
ecsxtal.com • 6/20/2026
Dec 17, 2024 — Discover how timing solutions, like crystal oscillators and real time clocks, drive AI's critical applications across industries.
Most AI struggles to read clocks and calendars, study finds
www.eurekalert.org • 6/20/2026
Mar 13, 2025 — A team from the University of Edinburgh has shown that state-of-the-art AI models are unable to reliably interpret clock-hand positions or correctly answer ... Read more
Occupation Profile for Watch and Clock Repairers
www.careeronestop.org • 6/20/2026
View an Occupation Profile for Watch and Clock Repairers. Find salaries, employment projections, typical training, job duties and more for any occupation.
More Career Info
Career: 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.
Parent Careers
Similar Careers
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
Fabricate parts for watches and clocks, using small lathes and other machines.
2
Repair or replace broken, damaged, or worn parts on timepieces, using lathes, drill presses, and hand tools.
3
Perform regular adjustment and maintenance on timepieces, watch cases, and watch bands.
4
Reassemble timepieces, replacing glass faces and batteries, before returning them to customers.
5
Adjust timing regulators, using truing calipers, watch-rate recorders, and tweezers.
6
Oil moving parts of timepieces.
7
Disassemble timepieces and inspect them for defective, worn, misaligned, or rusty parts, using loupes.
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.
