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Craft and related trades workers · code 7214

Structural-metal preparers and erectors

Structural metal preparers and erectors assemble, erect and dismantle structural metal frames of buildings and other structures. Tasks include - (a) marking metal framework as a guide when drilling cutting, and shaping metal stock for use in buildings, ships and other structures; (b) drilling, cutting and shaping structural steel in a workshop; (c) erecting steel framework for buildings, bridges and other constructions; (d) assembling and erecting the framework and other metal parts of ships’ structures; (e) shaping and fitting structural steel plates of ships under construction or repair; (f) riveting structural metal members by hand, machine or pneumatic riveter. Examples of the occupations classified here: - Erector, structural metal - Preparer, structural metal - Riveter Some related occupations classified elsewhere: - Rivet production machine operator - 7223

None of this job's tasks scored high enough to count. It ranks 20 of 427 for holding up against AI.

Also known as

  • dismantling worker
  • shipwright
  • structural ironworker

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

88.9
Holds up
against AI Not Exposed

AI could take on 11.1 of 100, on average
so it holds up at 100 − 11.1 = 88.9

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

71
How hands-on
out of 100

From O*NET, averaged across 3 US jobs

49.2
How fiddly
and cramped

finger skill 47 · hand skill 48.9 · cramped spaces 51.6 · 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 71 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 13.5, while the average is 11.1. 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. 13.5

    Assembling and erecting the framework and other metal parts of ships' structures

    Very Low
  2. 12

    Shaping and fitting structural-steel plates of ships under construction or repair

    Very Low
  3. 11.3

    Riveting structural metal members by hand, machine or pneumatic riveter.

    Very Low
  4. 11

    Drilling, cutting and shaping structural steel in a workshop

    Very Low
  5. 9.8

    Marking metal framework as a guide when drilling, cutting and shaping metal stock for use in buildings, ships and other structures

    Very Low
  6. 9

    Erecting steel framework for buildings, bridges and other constructions

    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.

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

AI helps you
53
AI does it for you
17.7

Helping wins by 35.3 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 3223, 3991, 8217

Compared with similar jobs

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