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Technicians and associate professionals · code 3122

Manufacturing supervisors

AI can do the cost estimates. Running a shift is still people management.

Cost estimates, records and reports are the one task AI could take a fair chunk of. Spotting staff or parts shortages and keeping workers safe it barely touches.

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

Manufacturing supervisors coordinate and supervise the activities of process control technicians, machine operators, assemblers, and other manufacturing labourers. Tasks include - (a) coordinating and supervising the activities of process control technicians, machine operators, assemblers and other manufacturing labourers; (b) organizing and planning the daily work with regard to plans, economy, staff and environment; (c) preparing cost estimates, records and reports; (d) identifying shortage of staff or components; (e) ensuring safety of workers; (f) instructing and training new staff. Examples of the occupations classified here: - Area coordinator (manufacturing) - Assembly supervisor - Finishing supervisor - Production supervisor (manufacturing) Some related occupations classified elsewhere: - Manufacturing manager - 1321

  • dairy processing technician
  • waste management supervisor
  • industrial assembly supervisor
  • production supervisor
  • food production planner

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

65 / 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

272 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 6 tasks for how much of it AI could do. They average 34.7 out of 100, so it holds up at 100 − 34.7 = 65.3.

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 57.3 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?

Manufacturing supervisors 65

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.

  • Cost estimates and reports.
  • Daily work planning.
  • Production data dashboards.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Supervising and training staff.
  • Keeping workers safe.
  • Solving problems on the floor.

Both

What's arriving

New work that only exists because the AI does.

  • Managing lines with more automation.
  • Data-driven continuous improvement.
  • Sustainability targets.

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: Medium

42 could do without you

It could take over some of the work, and help with more. It could help with 72 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Some

57 how hands-on

A fair part of this job is hands-on, so robots would be needed for that part, not just software.

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 43 out of 100. The higher it is, the longer the robot waits.

57 How
hands-on
43 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 41.1 · cramped spaces 45.5 · 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 59, against an average of 35. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 59

    Preparing cost estimates, records and reports

    Medium
  2. 39

    Organizing and planning the daily work with regard to plans, economy, staff and environment

    Low
  3. 36

    Instructing and training new staff.

    Low
  4. 27

    Co-ordinating and supervising the activities of process control technicians, machine operators, assemblers and other manufacturing labourers

    Low
  5. 24

    Identifying shortage of staff or components

    Very Low
  6. 24

    Ensuring safety of workers

    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 0.8-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
72
AI does it for you
42

Sidekick wins, by 30 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 1335

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?

Out of every 100 conversations

64
36

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. This job makes up 0.15% of the conversations.

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 manufacturing supervisors be worried?

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

Parts of it are changing. Cost estimates and reports are rated Medium, and planning daily work, training and supervising are Low; spotting shortages and safety rate Very Low. Production software handles more planning; leading people on the floor stays human.

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 below the family average.

Pit this against any other job →