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Technicians and associate professionals · code 3123

Construction supervisors

Construction supervisors coordinate, supervise and schedule the activities of workers engaged in the construction and repair of buildings and structures. Tasks include - (a) reading specifications to determine construction requirements and planning procedures; (b) organizing and coordinating the material and human resources required to complete jobs; (c) examining and inspecting work progress; (d) examining equipment and construction sites to ensure that health and safety requirements are met; (e) supervising construction sites and coordinating work with other construction projects; (f) supervising the activities of building trades workers, labourers and other construction workers. Examples of the occupations classified here: - Building construction supervisor - Site manager (construction) Some related occupations classified elsewhere: - Construction project manager - 1323 - Project builder - 1323 - Clerk of works - 3112

None of this job's tasks scored high enough to count. It ranks 226 of 427 for holding up against AI.

Also known as

  • underwater construction supervisor
  • construction general supervisor

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

71.8
Holds up
against AI Not Exposed

AI could take on 28.2 of 100, on average
so it holds up at 100 − 28.2 = 71.8

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

69
How hands-on
out of 100

From O*NET, averaged across 2 US jobs

41.6
How fiddly
and cramped

finger skill 41.1 · hand skill 42 · cramped spaces 41.6 · 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 69 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 36.5, while the average is 28.2. 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. 36.5

    Reading specifications to determine construction requirements and planning procedures

    Low
  2. 35.8

    Organizing and coordinating the material and human resources required to complete jobs

    Low
  3. 28

    Supervising construction sites and coordinating work with other construction projects

    Low
  4. 23.5

    Examining and inspecting work progress

    Very Low
  5. 23

    Examining equipment and construction sites to ensure that health and safety requirements are met

    Very Low
  6. 22.3

    Supervising the activities of building trades workers, labourers and other construction workers.

    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 0.7-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
72
AI does it for you
42

Helping wins by 30 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 1331, 3121

Compared with similar jobs

There are 82 jobs in the “Technicians and associate professionals” group, averaging 65.3. This one is above that.