As of June 2026, Bicycle Repairers has an AI-exposure score of 35/100 (Low exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.
Bicycle Repairers
More exposed than 5% of the roles we track. Median pay ~US$42,780. About 1,600 projected openings a year (BLS 2024–34 — growth plus replacement).
Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.
How this role compares to similar Installation & Repair roles
What this role usually involves
Repair and service bicycles.
Source: O*NET 29.1 exact occupation - Bicycle Repairers, SOC 49-3091.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Bicycle Repairers tasks, by AI exposure
No automatable tasks identified for this role — its real, individually-assessed tasks consistently read as durable (71%).
- Help customers select bicycles that fit their body sizes and intended bicycle uses.
- Order bicycle parts.
- Align wheels.
- Assemble new bicycles.
We analyzed all 14 Bicycle Repairers tasks — 4 augmentable and 10 durable. The full task map — every task with exactly what to do about each — is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
5-10 adjacent roles with salary, demand, and reachability.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET + the Anthropic Economic Index + BLS — not generic ChatGPT advice.
Safer adjacent roles
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Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
Grounded in O*NET + the Anthropic Economic Index + BLS — personalized to your role.
Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026
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