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Craft and related trades workers · code 7114

Concrete placers, concrete finishers and related workers

Concrete placers, concrete finishers and related workers erect reinforced concrete frameworks and structures, make forms for moulding concrete, reinforce concrete surfaces, cement openings in walls or casings for wells, finish and repair cement surfaces and carry out terrazzo work. Tasks include - (a) constructing and repairing reinforced concrete floors, walls, tanks, silos and other concrete structures; (b) making shuttering or assembling prefabricated forms for moulding concrete; (c) cementing openings in walls or casings for wells; (d) finishing and smoothing surfaces of concrete structures; (e) applying a durable smooth surfacing composed of cement, sand pigment and marble particles to floors, known as a terrazzo finish. Examples of the occupations classified here: - Cement finisher - Concrete placer - Terrazzo worker Some related occupations classified elsewhere: - Concrete finishing machine operator - 8114 - Road surface laying machinery operator - 8342

None of this job's tasks scored high enough to count. It ranks 15 of 427 for holding up against AI.

Also known as

  • terrazzo setter
  • concrete finisher

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

89.6
Holds up
against AI Not Exposed

AI could take on 10.4 of 100, on average
so it holds up at 100 − 10.4 = 89.6

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

76.9
How hands-on
out of 100

From O*NET, averaged across 3 US jobs

41.2
How fiddly
and cramped

finger skill 42.3 · hand skill 46.5 · cramped spaces 34.7 · averaged

Kind of hands-on work · hands-on 50+ · fiddly 39.4+ Hands-on, fiddly work in tight spaces

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.

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

This number is probably too high

This score only looks at AI tools like chatbots. It doesn't look at robots at all — and this job rates 76.9 out of 100 for how hands-on it is, which is exactly where robots come in.

Have a look at the tasks below and judge for yourself. The ILO scored them low because a chatbot can't do them. Whether a machine with hands could is a different question, and we can't answer it yet.

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 14, while the average is 10.4. 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. 14

    Making shuttering or assembling prefabricated forms for moulding concrete

    Very Low
  2. 12

    Constructing and repairing reinforced concrete floors, walls, tanks, silos and other concrete structures

    Very Low
  3. 9.3

    Finishing and smoothing surfaces of concrete structures

    Very Low
  4. 8.8

    Cementing openings in walls or casings for wells

    Very Low
  5. 7.8

    Applying a durable, smooth surfacing composed of cement, sand pigment and marble particles to floors, known as a terrazzo finish

    Very Low

5 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.

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

AI helps you
44.5
AI does it for you
16.5

Helping wins by 28 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 3321, 8212

Compared with similar jobs

There are 65 jobs in the “Craft and related trades workers” group, averaging 83.4. This one is above that.