Somewhat Resilient

Last Update: 8/30/2026

AI Resilience Score for Bicycle Repairers:

47.0%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Methodology and Scoring Rationale

To score how resilient bicycle repair work 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 bicycle repairers, six of eight sources had data, with two missing entirely. Exposure sources mostly agreed: hands-on mechanical work stays human, though Microsoft and Will Robots Take My Job were less certain than our own model. Confidence lands at medium, held down by a low hiring outlook from BLS and weak adaptive capacity, leaving bicycle repairers "Somewhat Resilient."

AI Resilience Report forBicycle Repairers

$42,780 median salary•1,200 annual openings•SOC Code: 49-3091.00

Bicycle Repairers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Bicycle repairing earns a "Somewhat Resilient" label because the hands-on, physical core of the job (feeling chain wear, sensing mechanical problems, adapting to worn or unusual parts) is genuinely hard for AI to replicate, keeping mechanics valuable for the foreseeable future. That said, AI is already changing parts of the job in meaningful ways, quietly taking over tasks like inventory management, parts ordering, customer estimates, and compatibility research, so the role is shifting even if it is not disappearing.

Learn more about how you can thrive in this position

This role is somewhat resilient

Bicycle repairing earns a "Somewhat Resilient" label because the hands-on, physical core of the job (feeling chain wear, sensing mechanical problems, adapting to worn or unusual parts) is genuinely hard for AI to replicate, keeping mechanics valuable for the foreseeable future. That said, AI is already changing parts of the job in meaningful ways, quietly taking over tasks like inventory management, parts ordering, customer estimates, and compatibility research, so the role is shifting even if it is not disappearing.

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Analysis of current AI resilience

Bicycle Repairers

Updated quarterly

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How can Bicycle Repairers prepare for AI?

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Latest AI news for Bicycle Repairers

The recommended articles highlight that while AI will change aspects of bicycle repair, it is unlikely to fully replace the role. For instance, DIY apps with AI can guide customers through repairs, while AR glasses can provide real-time instructions. This means bicycle repairers can focus more on customer service and complex repairs, enhancing their skill set. Embracing AI tools can create opportunities for bike mechanics to build customer loyalty and trust, ensuring their relevance in the evolving industry. This adaptability fosters resilience in the face of technological change.

More Career Info

Career: Bicycle Repairers

They fix and maintain bicycles by checking for problems, repairing or replacing parts, and making sure everything works smoothly for safe riding.

Employment & Wage Data

Median Wage

$42,780

Jobs (2025)

12,200

Growth (2025-35)

-5.7%

Annual Openings

1,200

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

96% ResilienceSupplemental

Weld broken or cracked frames together, using oxyacetylene torches and welding rods.

2

95% ResilienceCore Task

Shape replacement parts, using bench grinders.

3

95% ResilienceSupplemental

Paint bicycle frames, using spray guns or brushes.

4

94% ResilienceCore Task

Install and adjust speed and gear mechanisms.

5

94% ResilienceCore Task

Disassemble axles to repair, adjust, and replace defective parts, using hand tools.

6

94% ResilienceCore Task

Build wheels by cutting and threading new spokes.

7

94% ResilienceSupplemental

Repair holes in tire tubes, using scrapers and patches.

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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