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Elementary occupations · code 9111

Domestic cleaners and helpers

Domestic cleaners and helpers sweep, vacuum clean, wash and polish, take care of household linen, purchase household supplies, prepare food, serve meals and perform various other domestic duties. Tasks include - (a) sweeping, vacuum cleaning, polishing and washing floors and furniture, or washing windows and other fixtures; (b) washing, ironing and mending linen and other textiles; (c) washing dishes; (d) helping with preparation, cooking and serving of meals and refreshments; (e) purchasing food and various other household supplies; (f) cleaning, disinfecting and deodorizing kitchens, bathrooms and toilets; (g) cleaning windows and other glass surfaces. Examples of the occupations classified here: - Charworker (domestic) - Domestic cleaner - Domestic helper Some related occupations classified elsewhere: - Domestic housekeeper - 5152 - Hotel cleaner - 9112 - Hand launderer - 9121 - Street sweeper - 9613

None of this job's tasks scored high enough to count. It ranks 66 of 427 for holding up against AI.

Also known as

  • domestic cleaner

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

85.7
Holds up
against AI Not Exposed

AI could take on 14.3 of 100, on average
so it holds up at 100 − 14.3 = 85.7

That's the whole sum, and you can check it against the ILO's study.

43.8
How hands-on
out of 100

From O*NET, matched to one US job

22.4
How fiddly
and cramped

finger skill 30.3 · hand skill 30.3 · cramped spaces 6.5 · averaged

Kind of hands-on work · hands-on under 50 Less than half hands-on

Less than half of this job is hands-on. Robots still matter, but for a smaller part of the work, so we don't sort it any further.

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 0.7-work-setting measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement

What this number leaves out This job rates 43.8 out of 100 for how hands-on it is. The score above only looks at AI tools, not robots, but for work this far from the physical that matters less.

The tasks behind the score

The score is the average of these. A job is really a bundle of tasks, and an average can hide how uneven that bundle is.

The task AI could do most of scores 30, while the average is 14.3. A big gap means some of this job is wide open to AI and some of it barely at all. That's quite different from a job where everything sits somewhere in the middle, even when the averages match.

  1. 30

    Purchasing food and various other household supplies

    Low
  2. 21.5

    Helping with preparation, cooking and serving of meals and refreshments

    Very Low
  3. 14.5

    Washing, ironing and mending linen and other textiles

    Very Low
  4. 9.5

    Cleaning, disinfecting and deodorising kitchens, bathrooms and toilets

    Very Low
  5. 9

    Sweeping, vacuum cleaning, polishing and washing floors and furniture, or washing windows and other fixtures

    Very Low
  6. 8.8

    Cleaning windows and other glass surfaces.

    Very Low
  7. 7.2

    Washing dishes

    Very Low

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

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.7-work-setting

Helped, or replaced?

The score above can't tell a tool that makes you faster from one that does the task instead of you. Jobs and Skills Australia looked at those two things separately, and this is their result, matched to this job.

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

AI helps you
42
AI does it for you
10

Helping wins by 32 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 8113

Compared with similar jobs

There are 33 jobs in the “Elementary occupations” group, averaging 85. This one is above that.