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Professionals · code 2141

Industrial and production engineers

AI can optimise the factory layout. Getting people to change how they work is still engineering.

Nine of the ten tasks are mostly out of AI's reach, including analysing workflows, layouts and production schedules. Walking the plant floor to keep it running well it barely touches.

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

Industrial and production engineers conduct research and design, organize and oversee the construction, operation and maintenance of industrial production processes and installations. They establish programmes for the coordination of manufacturing activities and assess cost effectiveness and safety. Tasks include - (a) studying functional statements, organizational charts and project information to determine functions and responsibilities of workers and work units and to identify areas of duplication; (b) establishing work measurement programmes and analysing work samples to develop standards for labour utilization; (c) analysing workforce utilization, facility layout, operational data and production schedules and costs to determine optimum worker and equipment efficiencies; (d) developing specifications for manufacture, and determining materials, equipment, piping, material flows, capacities and layout of plant and systems; (e) organizing and managing project labour and the delivery of materials, plant and equipment; (f) establishing standards and policies for installation, modification, quality control, testing, inspection and maintenance according to engineering principles and safety regulations; (g) inspecting plant to improve and maintain performance; (h) directing the maintenance of plant buildings and equipment, and coordinating the requirements for new designs, surveys and maintenance schedules; (i) advising management on new production methods, techniques and equipment; (j) liaising with materials buying, storing and controlling departments to ensure a steady flow of supplies. Examples of the occupations classified here: - Industrial efficiency engineer - Industrial engineer - Industrial plant engineer - Production engineer Some related occupations classified elsewhere: - Manufacturing production manager - 1321

  • clothing technologist
  • maintenance and repair engineer
  • food and beverage packaging technologist
  • process engineer
  • industrial engineer
  • leather production planner
  • logistics analyst
  • packaging production manager
  • textile technologist
  • leather goods industrial engineer

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

63 / 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

291 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 10 tasks for how much of it AI could do. They average 36.7 out of 100, so it holds up at 100 − 36.7 = 63.3.

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 34.6 out of 100 for how hands-on it is. The score above only looks at AI tools, not robots, but for work this far from the physical that matters less.

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?

Industrial and production engineers 63

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.

  • Layout and workflow optimisation.
  • Work measurement and data analysis.
  • Specifications and standards.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Improving processes with the people who do the work.
  • Inspecting and fixing real plants.
  • Managing projects.

Both

What's arriving

New work that only exists because the AI does.

  • Automation and robotics projects.
  • Digital twins of factories.
  • Sustainability and energy efficiency.

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

35 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: Lower

35 how hands-on

Not much of this job needs hands, so the robot can sit this one out.

So could a robot do the physical part?

Less than half of this job is hands-on. Robots still matter, but for a smaller part of the work, so we don't sort it any further.

Robots hate fiddly work in awkward spaces. On that measure, this job scores 17 out of 100. The higher it is, the longer the robot waits.

35 How
hands-on
17 How fiddly
and cramped

Kind of hands-on work Less than half hands-on

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, averaged across 4 US jobs .

finger skill 19.7 · hand skill 9.4 · cramped spaces 22.1 · averaged · rule: hands-on under 50

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 46, against an average of 37. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 46

    Studying functional statements, organizational charts and project information to determine functions and responsibilities of workers and work units and to identify areas of duplication

    Low
  2. 46

    Analysing workforce utilization, facility layout, operational data and production schedules and costs to determine optimum worker and equipment efficiencies

    Low
  3. 44

    Establishing work measurement programmes and analysing work samples to develop standards for labour utilization

    Low
  4. 39

    Developing specifications for manufacture, and determining materials, equipment, piping, material flows, capacities and layout of plant and systems

    Low
  5. 36

    Establishing standards and policies for installation, modification, quality control, testing, inspection and maintenance according to engineering principles and safety regulations

    Low
  6. 36

    Advising management on new production methods, techniques and equipment

    Low
  7. 36

    Liaising with materials buying, storing and controlling departments to ensure a steady flow of supplies.

    Low
  8. 32

    Directing the maintenance of plant buildings and equipment, and coordinating the requirements for new designs, surveys and maintenance schedules

    Low
  9. 28

    Organizing and managing project labour and the delivery of materials, plant and equipment

    Low
  10. 24

    Inspecting plant to improve and maintain performance

    Very Low

10 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
35

Sidekick wins, by 37 points.

How good a match is this?

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

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 2335, 2339

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

53
47

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 0.24% of the conversations.

The data is sorted by US job, and this one matches 4 of them. We've combined them, counting each by how often it comes up in the conversations, so the busiest one counts most.

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 industrial engineers be worried?

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

Parts of the job are changing. Studying organisations, analysing workforce and layouts, work measurement, specifications, standards, advising, supplies, maintenance and project management all rate Low; inspecting plant rates Very Low. Optimisation software is powerful; implementation 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 92 jobs in the “Professionals” family, averaging 61. This one is above the family average.

Pit this against any other job →