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Technicians and associate professionals · code 3135

Metal production process controllers

AI can write the shift log. Running a furnace in an emergency is still an operator's call.

Shift logs and production reports are the one task AI could take a fair chunk of. Running the machinery and handling emergency start-ups and shutdowns it barely touches.

What they actually do (and what else they get called)

Metal production process controllers operate and monitor multi-function process control machinery and equipment to control the processing of metal converting and refining furnaces, metal-rolling mills, metal heat-treating or metal-extrusion plant. Tasks include - (a) coordinating and monitoring the operation of a particular aspect of metal processing production through control panels, computer terminals or other control systems, usually from a central control room; (b) operating multi-function central process control machinery to grind, separate, filter, melt, roast, treat, refine or otherwise process metals; (c) observing computer printouts, video monitors and gauges to verify specified processing conditions and to make necessary adjustments; (d) coordinating and supervising production crew such as machine and process operators, assistants and helpers; (e) starting up and shutting down the production system in cases of emergency or as required by schedule; (f) providing and organizing training for members of production crews; (g) maintaining shift logs of production and other data and preparing production and other reports. Examples of the occupations classified here: - Blast furnace operator - Central control caster - Rolling mill control operator Some related occupations classified elsewhere: - Ladle pourer - 8121 - Steel roller - 8121 - Metal finishing machine operator - 8122

  • metal furnace operator

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

69 / 100

Mostly holds up against AI

AI can take a few chores off your plate, but most of the day is still yours.

Not the odds you keep your job. It's how much of the everyday work still needs a person, out of 100.

← Robot's turf Human's turf →

The ILO's official verdict: Minimal Exposure

247 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 7 tasks for how much of it AI could do. They average 30.7 out of 100, so it holds up at 100 − 30.7 = 69.3.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Minimal Exposure”: A few tasks are affected, but the heart of the job isn't.

This job rates 66 out of 100 for how hands-on it is. The score above only looks at AI tools, not robots, and for work like this robots are the bigger question.

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Man v Bot · compare

Who holds up better?

Metal production process controllers 69

v

Go on, try your partner's job. Or your sibling's. We won't tell.

Man v Bot

Where the bot helps, and where the human wins

Bot

What AI takes

The routine stuff. You may not miss it.

  • Shift logs and production reports.
  • Computerised process control.
  • Monitoring with sensors and cameras.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Emergency start-ups and shutdowns.
  • Leading and training crews.
  • Keeping people safe around molten metal.

Both

What's arriving

New work that only exists because the AI does.

  • Green steel and electric furnaces.
  • Remote control rooms.
  • Recycled metal production.

Written by a human, from the ILO's task ratings below. Yes, we see the irony. Read it as one person's take.

Meet your two rivals

They're not the same machine. AI software can only reach the parts of a job done on a screen or in words. A chatbot can't climb a ladder. A robot might, one day, if it doesn't fall off.

The AI

Lives in a screen. Never had to fix a boiler.

Threat level: Low

31 could do without you

It could take over very little of the work on its own. It could help with 63 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Higher

66 how hands-on

Most of this job needs hands, a body or turning up. That's robot territory, and nobody measures how far robots have got well enough to give you a number. We won't make one up.

So could a robot do the physical part?

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.

Robots hate fiddly work in awkward spaces. On that measure, this job scores 44 out of 100. The higher it is, the longer the robot waits.

66 How
hands-on
44 How fiddly
and cramped

Kind of hands-on work Hands-on, fiddly work in tight spaces

The small print

They aren't a robot score, and nothing on this page is. Nobody measures how far robots have got well enough to put a number on it. These are the closest thing we have: how hands-on the job is, and how much fiddly, cramped work it takes, which is what Frey and Osborne found hardest for machines.

From O*NET, matched to one US job .

finger skill 42.9 · hand skill 46.4 · cramped spaces 41.5 · averaged · rule: hands-on 50+ · fiddly 39.4+

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 0.8-observed-use measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement

The job, task by task

Every job is really a bundle of tasks. Here's this one unpacked, with how much of each AI could do, out of 100. The score is the average, and averages can hide a lot.

AI's favourite task here scores 56, against an average of 31. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 56

    Maintaining shift log of production and other data and preparing production and other reports.

    Medium
  2. 35

    Coordinating and monitoring the operation of a particular aspect of metal processing production through control panels, computer terminals or other control systems, usually from a central control room

    Low
  3. 32

    Observing computer printouts, video monitors and gauges to verify specified processing conditions and to make necessary adjustments

    Low
  4. 31

    Providing and organising training for members of production crew

    Low
  5. 28

    Coordinating and supervising production crew such as machine and process operators, assistants and helpers

    Low
  6. 19

    Starting up and shutting down the production system in cases of emergency or as required by schedule

    Very Low
  7. 16

    Operating multi-function central process control machinery to grind, separate, filter, melt, roast, treat, refine or otherwise process metals

    Very Low

7 tasks · the High to Very Low labels are the ILO's

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Sidekick or replacement?

A tool that makes you faster is a very different thing from one that does the task while you watch. Jobs and Skills Australia measured the two separately, which is handy.

AI helps you
63
AI does it for you
31

Sidekick wins, by 32 points.

How good a match is this?

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

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 7123

Meanwhile, in real life…

Everything else here is about what AI could do. This is what people actually did. When they asked Claude for help with this kind of work, did they hand the whole task over, or roll their sleeves up and work through it together?

Tiny sample alert This job makes up under 0.01% of all the conversations: a tiny slice, mostly the paperwork rather than the work. People using AI for a job isn't the same as AI being able to do it.

Out of every 100 conversations

0
100

worked through it together handed it over

The small print

Anthropic publishes this about its own product, and it doesn't feed into any score here. These are people who use Claude, not workers in general, so little use here doesn't mean AI can't reach the job.

These two add up to 100. The bars elsewhere on the page don't, because each is scored on its own, so we don't put them side by side.

observed use Anthropic Economic Index release 2026-06-26, period beginning 2026-05-01 data 0.8-observed-use 2026-05-01 · Anthropic, about its own product

So, should metal production controllers be worried?

Short answer: not much. Some of the chores will change, and good riddance.

Parts of it are changing. Shift logs are rated Medium, and control panels, monitoring, training and supervising crews are Low; emergency start-ups and running central control rate Very Low. Process control keeps automating, so controllers lead crews and handle problems.

Worth remembering: we score tasks, not jobs. When AI takes on a task, the job usually reshuffles around it rather than vanishing.

Where this job could lead

None of the new jobs we've written up start from here yet. Could be you're the first. See the jobs AI is creating →

How are the neighbours doing?

There are 82 jobs in the “Technicians and associate professionals” family, averaging 65. This one is above the family average.

Pit this against any other job →