Skip to content
man bot

Craft and related trades workers · code 7115

Carpenters and joiners

Carpenters and joiners cut, shape, assemble, erect, maintain and repair various types of structures and fittings made from wood and other materials. Tasks include - (a) making, altering and repairing structural and other woodwork at a workbench or on a construction site; (b) constructing, erecting and installing heavy-framed wooden structures on building sites; (c) fitting, assembling and altering internal and external fixtures of buildings, such as walls, doors, door and window frames, facings and panelling; (d) making, repairing and fitting scenic equipment for theatrical performances and motion picture or television productions; (e) constructing, assembling, altering and repairing wooden fixtures and fittings in train coaches, aircraft, ships, boats, floats and other vehicles. Examples of the occupations classified here: - Carpenter - Door installer - Finish carpenter - Framer - Joiner - Shipwright (wood) Some related occupations classified elsewhere: - Cabinet-maker - 7522 - Wheelwright - 7522

None of this job's tasks scored high enough to count. It ranks 45 of 427 for holding up against AI.

Also known as

  • carpenter
  • window installer
  • door installer
  • kitchen unit installer
  • staircase installer

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

87
Holds up
against AI Not Exposed

AI could take on 13 of 100, on average
so it holds up at 100 − 13 = 87

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

69.9
How hands-on
out of 100

From O*NET, matched to one US job

48.8
How fiddly
and cramped

finger skill 50 · hand skill 57.1 · cramped spaces 39.2 · 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 69.9 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 15, while the average is 13. 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. 15

    Constructing, assembling, altering and repairing wooden fixtures and fittings in train coaches, aircraft, ships, boats, floats and other vehicles.

    Very Low
  2. 14.8

    Making, repairing and fitting scenic equipment for theatrical performances and motion picture or television productions

    Very Low
  3. 13.8

    Making, altering and repairing structural and other woodwork at a workbench and on a construction site

    Very Low
  4. 11.8

    Fitting, assembling and altering internal and external fixtures of buildings, such as walls, doors, door and window frames, facings and panelling

    Very Low
  5. 9.5

    Constructing, erecting and installing heavy-framed wooden structures on building sites

    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.

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

AI helps you
55.7
AI does it for you
19

Helping wins by 36.7 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 3312, 3991, 8214

Compared with similar jobs

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