JobShiftAtlas
Source-backed profile

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, 20252035
-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

Ask JobShift

Ask Dr. Morgan Reed about this evidence

Morgan is the JobShift Atlas analyst powered by AI. Answers draw from the evidence on this page and explain what it can tell you.

Source provenance

Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.