AI exposure by occupation, O*NET 49-3091.00
Will AI replace Bicycle Repairers?
Bicycle Repairers: AI does not yet handle any of the role's 14 tasks; most of the work is hands-on, and the part AI can address mostly needs an efficient-tier model.
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Every task, scored
The 14 tasks O*NET 30.3 lists for Bicycle Repairers, from most to least exposed. None reaches 60, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Install and adjust brakes and brake pads. | Estimated | Efficient | |
| Install, repair, and replace equipment or accessories, such as handlebars, stands, lights, and seats. | Estimated | Efficient | |
| Install new tires and tubes. | Estimated | Efficient | |
| Install and adjust speed and gear mechanisms. | Estimated | Efficient | |
| Disassemble axles to repair, adjust, and replace defective parts, using hand tools. | Estimated | Efficient | |
| Repair holes in tire tubes, using scrapers and patches. | Estimated | Efficient | |
| Help customers select bicycles that fit their body sizes and intended bicycle uses. | Estimated | No tier | |
| Align wheels. | Estimated | No tier | |
| Assemble new bicycles. | Estimated | No tier | |
| Sell bicycles and accessories. | Estimated | No tier | |
| Clean and lubricate bicycle parts. | Estimated | No tier | |
| Order bicycle parts. | Estimated | No tier | |
| Build wheels by cutting and threading new spokes. | Estimated | No tier | |
| Shape replacement parts, using bench grinders. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 14 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 14 of 14. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
An efficient-tier model or lower covers 43% of the role's importance-weighted task work. 43% of the work is something AI can address at some tier, and 58% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 12,170
- Median annual wage
- $42,780
- Middle half of earners
- $36,360 to $48,020
- Projected change, 2024 to 2034
- -2.3%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Motorcycle Mechanics 72% skill overlap, about 10 months to move Exposure17
- Tire Repairers and Changers 68% skill overlap, about 11 months to move Exposure15
- Medical Equipment Repairers 63% skill overlap, about 13 months to move Exposure27
- Automotive Body and Related Repairers 63% skill overlap, about 13 months to move Exposure19
- Rail Car Repairers 62% skill overlap, about 14 months to move Exposure19
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Bicycle Repairers and AI
Will AI replace Bicycle Repairers?
Not on current evidence. None of the 14 tasks O*NET lists for this occupation reaches a task exposure of 60, the level at which JobRoute counts a task as handled by AI, and the role's importance-weighted exposure is 17 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.
What is the AI exposure of Bicycle Repairers?
17 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 14 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 14 are estimated from each task's O*NET work activity.
Which Bicycle Repairers tasks can AI already do?
None reaches 60 yet. The most exposed task is: Install and adjust brakes and brake pads, at 20 out of 100.
What AI model tier does this role need?
An efficient-tier model or lower covers 43% of the role's importance-weighted task work, and 58% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Bicycle Repairers, and what do they earn?
12,170 people in the United States, with a median annual wage of $42,780 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -2.3% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Bicycle Repairers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/bicycle-repairers
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