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AI exposure Installation, maintenance and repair

Will AI replace bicycle repairers?

Bicycle Repairers. US occupation 49-3091.

0.0%

of the time bicycle repairers spend on their work goes on tasks where AI is already being used to do that work.of bicycle repairers' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for bicycle repairersWhat bicycle repairers no longer do alone

O*NET lists 16 tasks for bicycle repairers. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

16 of the 16 tasks show no AI use at work in the data.

  • Align wheels.Core task
  • Assemble new bicycles.Core task
  • Build wheels by cutting and threading new spokes.Core task
  • Clean and lubricate bicycle parts.Core task
  • Disassemble axles to repair, adjust, and replace defective parts, using hand tools.Core task
  • Help customers select bicycles that fit their body sizes and intended bicycle uses.Core task
Show the other 10
  • Install and adjust brakes and brake pads.Core task
  • Install and adjust speed and gear mechanisms.Core task
  • Install new tires and tubes.Core task
  • Install, repair, and replace equipment or accessories, such as handlebars, stands, lights, and seats.Core task
  • Order bicycle parts.Core task
  • Sell bicycles and accessories.Core task
  • Shape replacement parts, using bench grinders.Core task
  • Paint bicycle frames, using spray guns or brushes.
  • Repair holes in tire tubes, using scrapers and patches.
  • Weld broken or cracked frames together, using oxyacetylene torches and welding rods.

How that compares

Among the 50 installation, maintenance and repair occupations, bicycle repairers rank 14. The group averages 0.7%, and its most exposed job is Computer, Automated Teller, and Office Machine Repairers at 10.7%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Bakers 0.0%
  2. 346Barbers 0.0%
  3. 346Bartenders 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.