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Elementary occupations · code 9122

Vehicle cleaners

AI can book the car wash. Someone still has to get the dog hair out.

AI barely touches any of the six tasks, from washing and polishing cars and windows to getting stains out and blacking tyres.

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

Vehicle cleaners wash, clean and polish the exterior and interior of vehicles. Tasks include - (a) cleaning, washing and polishing cars and other vehicles, by hand or using hand-held power tools; (b) vacuuming vehicle interiors and dry-cleaning carpets and upholstery; (c) applying cleaning agents to remove stains from vehicle exteriors and interiors; (d) washing tyres and wheel arches and blackening tyres; (e) washing and polishing vehicle windows; (f) emptying and cleaning compartments in vehicles. Examples of the occupations classified here: - Car detailer - Vehicle washer (hand)

  • vehicle cleaner

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

91 / 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

2 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 8.9 out of 100, so it holds up at 100 − 8.9 = 91.1.

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 64 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?

Vehicle cleaners 91

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, reminders and payments.
  • Ordering cleaning products.
  • Quotes for detailing and fleet contracts.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Getting into every awkward corner of an interior.
  • Knowing which product lifts a stain without damaging the surface.
  • Finishing work that customers inspect closely.

Both

What's arriving

New work that only exists because the AI does.

  • Detailing and paint protection sold as premium services.
  • Careful cleaning around the cameras and sensors on newer cars.
  • Fleet cleaning contracts run through apps.

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

11 could do without you

It could take over very little of the work on its own. It could help with 40 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Higher

64 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 45 out of 100. The higher it is, the longer the robot waits.

64 How
hands-on
45 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, matched to one US job .

finger skill 39.3 · hand skill 42.9 · cramped spaces 53 · 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 10, against an average of 9. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 10

    Applying cleaning agents to remove stains from vehicle exteriors and interiors

    Very Low
  2. 10

    Washing and polishing vehicle windows

    Very Low
  3. 10

    Emptying and cleaning compartments in vehicles.

    Very Low
  4. 9

    Vacuuming vehicle interiors and dry-cleaning carpets and upholstery

    Very Low
  5. 8

    Cleaning, washing and polishing cars and other vehicles, by hand or using hand-held power tools

    Very Low
  6. 8

    Washing tyres and wheel arches and blackening tyres

    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
40
AI does it for you
11

Sidekick wins, by 29 points.

How good a match is this?

One Australian job matches this one closely, so this is about as reliable as it gets here.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 8111

So, should vehicle cleaners be worried?

Short answer: not really. Put the kettle on.

Not about AI. Every task rates Very Low, from stain removal to cleaning compartments, because it all happens by hand. Automatic car washes already do simple exteriors; interiors, detailing and awkward vehicles still need a person.

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 33 jobs in the “Elementary occupations” family, averaging 85. This one is above the family average.

Pit this against any other job →