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Plant and machine operators, and assemblers · code 8121

Metal processing plant operators

Metal processing plant operators monitor, operate, adjust and maintain single-function process machinery and equipment to process and convert mineral ores and refine, harden, roll and extrude metals. Tasks include - (a) setting up, preparing and adjusting mineral ore and metal processing machinery to carry out one step in the overall mineral ore or metal processing operation; (b) operating single-function machinery to grind, separate, filter, mix, treat, cast, roll, refine or otherwise process metals and mineral ores; (c) observing gauges, meters, computer printouts, video monitors and products to ensure the correct operation of machines and verify specified processing conditions; (d) adjusting equipment, valves, pumps, controls and process equipment; (e) controlling the preparation, measuring and feeding of raw materials and processing agents into the plant; (f) controlling process start-up and shut-down, troubleshooting and monitoring outside process equipment; (g) verifying equipment for malfunctions, carrying out routine operating tests and arranging for maintenance; (h) analysing sample products, performing tests, recording data and writing production logs. Examples of the occupations classified here: - Ladle pourer - Metal extrusion plant operator - Metal heat treating operator - Steel roller Some related occupations classified elsewhere: - Blast furnace operator - 3135 - Central control caster - 3135 - Rolling mill control operator - 3135 - Metal coating machine operator - 8122

None of this job's tasks scored high enough to count. It ranks 208 of 427 for holding up against AI.

Also known as

  • metal rolling mill operator
  • metal annealer
  • extrusion machine operator
  • casting machine operator
  • spring maker
  • wire weaving machine operator
  • metal drawing machine operator

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

73.5
Holds up
against AI Not Exposed

AI could take on 26.5 of 100, on average
so it holds up at 100 − 26.5 = 73.5

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

72.1
How hands-on
out of 100

From O*NET, averaged across 5 US jobs

40.2
How fiddly
and cramped

finger skill 43.6 · hand skill 43.9 · cramped spaces 33 · 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 72.1 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 47.5, while the average is 26.5. 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. 47.5

    Analysing sample products, performing tests, recording data and writing production logs.

    Low
  2. 29.5

    Adjusting equipment, valves, pumps, controls and process equipment

    Low
  3. 28

    Observing gauges, meters, computer printouts, video monitors and products to ensure correct operation of machines and verify specified processing conditions

    Low
  4. 27

    Controlling the preparation, measuring and feeding of raw materials and processing agents into plant

    Low
  5. 24.5

    Controlling process start-up and shut-down, troubleshooting and monitoring outside process equipment

    Very Low
  6. 22.5

    Setting up, preparing and adjusting mineral ore and metal processing machinery to carry out one step in the overall mineral ore or metal processing operation

    Very Low
  7. 18

    Verifying equipment for malfunctions, carrying out routine operating tests and arranging for maintenance

    Very Low
  8. 15

    Operating single-function machinery to grind, separate, filter, mix, treat, cast, roll, refine or otherwise process metals and mineral ores

    Very Low

8 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
63
AI does it for you
31

Helping wins by 32 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 7123

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.