Bicycle repairers
Representative O*NET tasks include: Install and adjust speed and gear mechanisms. Install and adjust brakes and brake pads. Install new tires and tubes.
BLS SOC 49-3091 · O*NET-SOC 49-3091.00 · BLS 2025–2035 · O*NET 31.0
Median annual wage, 2025
$42,780
Projected change, 2025–2035
-5.7%
2025–2035 annual average openings
1,200
AI exposure
Moderate
Editorial analysis
Even a smart bicycle eventually needs someone with a wrench
Traditional bicycles are mechanically simple enough that AI has little direct ability to replace repair work. It can help riders diagnose a noise, explain an adjustment, identify a component, or guide a basic repair, which may reduce some simple service visits.
E-bikes make the trade more technical
Electric bicycles introduce batteries, controllers, motors, sensors, displays, firmware, and electronic diagnostics alongside familiar chains, brakes, wheels, bearings, and gears. That gives repairers a growing opportunity to combine mechanical skills with electrical troubleshooting.
- Customers can use AI instructions for basic adjustments and maintenance.
- Shops can automate scheduling, parts research, inventory, and customer communication.
- Diagnostic tools can improve troubleshooting of e-bike systems.
- Wheel building, brake work, drivetrain repair, fitting, damaged hardware, and real-world inspection remain hands-on.
Repairers who develop expertise with e-bikes and modern electronic components may find the job becoming more technically demanding even as basic repair information becomes easier for consumers to access.
Labor-market picture
Two measures, different questions
These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.
Employment
- Employment, 2025
- 12,200 jobs
- Projected employment, 2035
- 11,500 jobs
- Projected change, 2025–2035
- -700 jobs (-5.7%)
Relative AI exposure
BLS category: Moderate. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.
Relative AI exposure · Moderate
Work profile
Representative tasks
These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.
- Install and adjust speed and gear mechanisms.
- Install and adjust brakes and brake pads.
- Install new tires and tubes.
- Assemble new bicycles.
- Estimate costs of repairing bicycles and write service tickets.
- Install, repair, and replace equipment or accessories, such as handlebars, stands, lights, and seats.
Skills that matter
Skills in the source profile
Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.
Technology and tools
These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.
- Point of sale POS software
- Spreadsheet software
- Electronic mail software
- Word processing software
- Data base user interface and query software
- Internet browser software
Preparation
- Typical entry education
- High school diploma or equivalent
- Related experience
- None
- On-the-job training
- Moderate-term on-the-job training
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Source provenance
Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.