Somewhat Resilient

Last Update: 10/7/2026

AI Resilience Score for Timing Device Assemblers:

39.5%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Methodology and Scoring Rationale

To score how resilient timing device assembly and adjustment is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For timing device assemblers, seven of eight sources had data, with OpenAI Signals being the exception. Three of four AI exposure sources agreed that much of this hands-on assembly work stays human, though Will Robots Take My Job pushed the other way, keeping confidence at medium. Weak hiring and mobility signals pulled the score down, landing the role at "Somewhat Resilient."

AI Resilience Report forTiming Device Assemblers and Adjusters

$62,620 median salary•0 annual openings•SOC Code: 51-2061.00

Timing Device Assemblers and Adjusters are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.

This career sits in the "Somewhat Resilient" zone because AI and robotics are genuinely changing parts of the work, especially in areas like quality inspection, machining, and maintenance prediction, but the most delicate hands-on tasks (like bending hairsprings or fine-tuning a movement) still require skilled human touch that machines cannot fully replicate. The good news is that a real shortage of trained watchmakers actually makes AI tools feel more like helpful assistants than threats, since they help experienced workers handle more without pushing people out.

Learn more about how you can thrive in this position

This role is somewhat resilient

This career sits in the "Somewhat Resilient" zone because AI and robotics are genuinely changing parts of the work, especially in areas like quality inspection, machining, and maintenance prediction, but the most delicate hands-on tasks (like bending hairsprings or fine-tuning a movement) still require skilled human touch that machines cannot fully replicate. The good news is that a real shortage of trained watchmakers actually makes AI tools feel more like helpful assistants than threats, since they help experienced workers handle more without pushing people out.

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Analysis of current AI resilience

Timing Device Assemblers

Updated quarterly

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Latest AI news for Timing Device Assemblers

The article highlights that jobs requiring manual skills and judgment, like those of Timing Device Assemblers and Adjusters, are less likely to be fully automated. These roles often involve complex problem-solving and attention to detail, which AI struggles to replicate. Students can find reassurance in this, knowing their hands-on skills and ability to adapt will keep them valuable in the workforce. Emphasizing empathy and craftsmanship can further enhance their job resilience in an evolving technological landscape.

More Career Info

Career: Timing Device Assemblers and Adjusters

They put together and fine-tune clocks and timers to make sure they work accurately and keep the correct time.

Employment & Wage Data

Median Wage

$62,620

Jobs (2025)

200

Growth (2025-35)

-6.1%

0

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

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

1

92% ResilienceSupplemental

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.

2

91% ResilienceCore Task

Bend parts, such as hairsprings, pallets, barrel covers, and bridges, to correct deficiencies in truing or endshake, using tweezers.

3

89% ResilienceSupplemental

Examine and adjust hairspring assemblies to ensure horizontal and circular alignment of hairsprings, using calipers, loupes, and watchmakers' tools.

4

88% ResilienceCore Task

Assemble and install components of timepieces to complete mechanisms, using watchmakers' tools and loupes.

5

87% ResilienceSupplemental

Tighten or replace loose jewels, using watchmakers' tools.

6

86% ResilienceCore Task

Replace specified parts to repair malfunctioning timepieces, using watchmakers' tools, loupes, and holding fixtures.

7

85% ResilienceSupplemental

Mount hairsprings and balance wheel assemblies between jaws of truing calipers.

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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