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Plant and machine operators, and assemblers · code 8211

Mechanical machinery assemblers

Mechanical machinery assemblers assemble, according to procedures strictly laid down, component parts of mechanical machinery such as engines, motor vehicles, turbines and aircraft. Tasks include - (a) assembling and installing prefabricated parts or components to form subassemblies, mechanical machinery, engines and finished motor vehicles; (b) reviewing work orders, specifications, diagrams and drawings to determine materials needed and assembly instructions; (c) recording production and operational data on specified forms; (d) inspecting and testing completed components and assemblies; (e) rejecting faulty assemblies and components. Examples of the occupations classified here: - Aircraft assembler - Bench fitter (trucks) - Engine assembler - Engine installer - Gearbox assembler - Turbine assembler - Vehicle assembler Some related occupations classified elsewhere: - Motor vehicle mechanic - 7231 - Electromechanical equipment assembler - 8212 - Bicycle assembler - 8219

A few tasks are affected, but the heart of the job isn't. It ranks 213 of 427 for holding up against AI.

Also known as

  • motor vehicle assembler
  • mechatronics assembler
  • aircraft assembler
  • rolling stock assembler
  • vessel engine assembler
  • motorcycle assembler
  • industrial machinery assembler

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

73
Holds up
against AI Minimal Exposure

AI could take on 27 of 100, on average
so it holds up at 100 − 27 = 73

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

67.6
How hands-on
out of 100

From O*NET, averaged across 2 US jobs

46
How fiddly
and cramped

finger skill 50.9 · hand skill 46.4 · cramped spaces 40.8 · 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 67.6 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 56, while the average is 27. 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. 56

    Recording production and operational data on specified forms

    Medium
  2. 28

    Reviewing work orders, specifications, diagrams and drawings to determine materials needed and assembly instructions

    Low
  3. 22

    Inspecting and testing completed components and assemblies

    Very Low
  4. 14.5

    Assembling and installing prefabricated parts or components to form subassemblies, mechanical machinery, engines and finished motor vehicles

    Very Low
  5. 14.3

    Rejecting faulty assemblies and components

    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.

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

AI helps you
45
AI does it for you
15

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 8322

Compared with similar jobs

There are 39 jobs in the “Plant and machine operators, and assemblers” group, averaging 80.3. This one is below that.