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Craft and related trades workers · code 7234

Bicycle and related repairers

AI can roughly diagnose the clicking noise. Truing the wheel still takes a mechanic.

AI barely touches any of the six tasks, from servicing bikes and replacing brakes and gears to oiling parts and changing tyres.

What they actually do (and what else they get called)

Bicycle and related repairers fit, maintain, service and repair the mechanical and related equipment of bicycles, rickshaws, baby carriages, wheelchairs and similar non-motorized transport equipment. Tasks include - (a) examining, servicing and repairing bicycles and other non-motorized transport equipment; (b) cleaning and lubricating bearings and other moving parts; (c) replacing and repairing components and accessories such as brakes, gears, driving chain mechanisms, wheels and handlebars; (d) changing tyres and controlling air pressure; (e) spray-painting frames; (f) assembling new bicycles, wheelchairs and similar non-motorized equipment. Examples of the occupations classified here: - Bicycle mechanic - Bicycle repairer - Perambulator repairer - Wheelchair repairer Some related occupations classified elsewhere: - Moped repairer - 7231 - Motorized rickshaw mechanic - 7231

  • bicycle mechanic

Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.

87 / 100

Strongly holds up against AI

Most of this job still needs an actual human. AI would mostly be making the tea.

Not the odds you keep your job. It's how much of the everyday work still needs a person, out of 100.

← Robot's turf Human's turf →

The ILO's official verdict: Not Exposed

48 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 6 tasks for how much of it AI could do. They average 13.1 out of 100, so it holds up at 100 − 13.1 = 86.9.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Not Exposed”: None of this job's tasks scored high enough to count.

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Pinch of salt: this number is probably too rosy

It only asks what AI software could do, and this job is 65 out of 100 hands-on. A chatbot can't do that part. A robot might, one day, and nobody measures how close that is.

Man v Bot · compare

Who holds up better?

Bicycle and related repairers 87

v

Go on, try your partner's job. Or your sibling's. We won't tell.

Man v Bot

Where the bot helps, and where the human wins

Bot

What AI takes

The routine stuff. You may not miss it.

  • Bookings and repair tickets.
  • Ordering parts and checking compatibility.
  • Diagnosing faults with online guides.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Servicing and repairing by hand.
  • Fitting parts that don't quite match.
  • Advising riders face to face.

Both

What's arriving

New work that only exists because the AI does.

  • E-bike motors, batteries and diagnostics.
  • Repair over replacement as bikes get pricier.
  • Maintaining hire scheme fleets.

Written by a human, from the ILO's task ratings below. Yes, we see the irony. Read it as one person's take.

Meet your two rivals

They're not the same machine. AI software can only reach the parts of a job done on a screen or in words. A chatbot can't climb a ladder. A robot might, one day, if it doesn't fall off.

The AI

Lives in a screen. Never had to fix a boiler.

Threat level: Low

25 could do without you

It could take over very little of the work on its own. It could help with 51 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Higher

65 how hands-on

Most of this job needs hands, a body or turning up. That's robot territory, and nobody measures how far robots have got well enough to give you a number. We won't make one up.

So could a robot do the physical part?

More fine handwork, and more time in cramped or awkward spots, than a typical hands-on job. That is exactly what machines find hardest: they do best in tidy, predictable places.

Robots hate fiddly work in awkward spaces. On that measure, this job scores 43 out of 100. The higher it is, the longer the robot waits.

65 How
hands-on
43 How fiddly
and cramped

Kind of hands-on work Hands-on, fiddly work in tight spaces

The small print

They aren't a robot score, and nothing on this page is. Nobody measures how far robots have got well enough to put a number on it. These are the closest thing we have: how hands-on the job is, and how much fiddly, cramped work it takes, which is what Frey and Osborne found hardest for machines.

From O*NET, averaged across 2 US jobs .

finger skill 46.5 · hand skill 45.6 · cramped spaces 38 · averaged · rule: hands-on 50+ · fiddly 39.4+

estimated O*NET 31.0 BLS occupational crosswalk chain ISCO-08 to 2010 SOC (Aug 2012, rev. Jun 2015); 2010 to 2018 SOC (Nov 2017); O*NET-SOC 2019 taxonomy data 0.8-observed-use measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement

The job, task by task

Every job is really a bundle of tasks. Here's this one unpacked, with how much of each AI could do, out of 100. The score is the average, and averages can hide a lot.

AI's favourite task here scores 16, against an average of 13. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 16

    Examining, servicing and repairing bicycles and other non-motorized transport equipment

    Very Low
  2. 15

    Replacing and repairing components and accessories, such as brakes, gears, driving chain mechanism, wheels, and handle bars

    Very Low
  3. 14

    Assembling new bicycles, wheelchairs and similar non-motorized equipment.

    Very Low
  4. 12

    Spray-painting frames

    Very Low
  5. 12

    Cleaning and lubricating bearings and other moving parts

    Very Low
  6. 10

    Changing tyres and controlling air pressure

    Very Low

6 tasks · the High to Very Low labels are the ILO's

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Sidekick or replacement?

A tool that makes you faster is a very different thing from one that does the task while you watch. Jobs and Skills Australia measured the two separately, which is handy.

AI helps you
51
AI does it for you
25

Sidekick wins, by 26 points.

How good a match is this?

2 Australian jobs match this one, and we've simply averaged them. Treat the numbers as a rough guide.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 3999, 8999

So, should bike mechanics be worried?

Short answer: not really. Put the kettle on.

No. Every task rates Very Low, from servicing to replacing parts. E-bikes are bringing more electronics into the workshop, which adds work rather than removing it.

Worth remembering: we score tasks, not jobs. When AI takes on a task, the job usually reshuffles around it rather than vanishing.

Where this job could lead

None of the new jobs we've written up start from here yet. Could be you're the first. See the jobs AI is creating →

How are the neighbours doing?

There are 65 jobs in the “Craft and related trades workers” family, averaging 83. This one is above the family average.

Pit this against any other job →