Managers · code 1321

Manufacturing managers

AI can do the production reports. Running a factory is still people and decisions.

Production reports and budgets are the two tasks AI could take a fair chunk of. Nine more are mostly out of its reach, and installing new plant it barely touches.

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

Manufacturing managers plan, direct and coordinate activities concerned with the production of goods, the production and distribution of electricity, gas and water, and the collection, treatment and disposal of waste. They may manage the production departments of large enterprises or be the managers of small manufacturing companies. Tasks include - (a) determining, implementing and monitoring production strategies, policies and plans; (b) planning details of production activities in terms of output quality and quantity, cost, time available and labour requirements; (c) controlling the operation of production plant and quality procedures through planning of maintenance, designation of operating hours and supply of parts and tools; (d) establishing and managing budgets, monitoring production output and costs, and adjusting processes and resources to minimize costs; (e) consulting with and informing other managers about production matters; (f) overseeing the acquisition and installation of new plant and equipment; (g) controlling the preparation of production records and reports; (h) coordinating the implementation of occupational health and safety requirements; (i) identifying business opportunities and determining products to be manufactured; (j) researching and implementing regulatory and statutory requirements affecting manufacturing operations and the environment; (k) overseeing the provision of quotations for the manufacture of specialized goods and establishing contracts with customers and suppliers; (l) overseeing the selection, training and performance of staff. Examples of the occupations classified here: - Manufacturer - Manufacturing manager - Production and operations manager (manufacturing) Some related occupations classified elsewhere: - Production supervisor (manufacturing) - 3122

manufacturing manager

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

62 / 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

309 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 12 tasks for how much of it AI could do. They average 37.9 out of 100, so it holds up at 100 − 37.9 = 62.1.

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 42.2 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?

Manufacturing managers 62

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.

Production reports and records.
Budgets and cost control.
Production planning.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

Leading people on the factory floor.
Decisions about investment and products.
Safety and quality.

Both

What's arriving

New work that only exists because the AI does.

Automation and robotics investment.
Factory data and digital twins.
Supply chain resilience.

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 71 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Some

42 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?

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

42 How
hands-on

31 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 6 US jobs .

finger skill 34.5 · hand skill 30.6 · cramped spaces 26.4 · 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 52, against an average of 38. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

52
Controlling the preparation of production records and reports

Medium
51
Establishing and managing budgets, monitoring production output and costs, and adjusting processes and resources to minimize costs

Medium
49
Planning details of production activities in terms of output quality and quantity, cost, time available and labour requirements

Low
44
Determining, implementing and monitoring production strategies, policies and plans

Low
44
Consulting with and informing other managers about production matters

Low
41
Identifying business opportunities and determining products to be manufactured

Low
35
Overseeing the provision of quotes for the manufacture of specialized goods and establishing contracts with customers and suppliers

Low
33
Overseeing the selection, training and performance of staff.

Low
33
Controlling the operation of production plant and quality procedures through planning of maintenance, designation of operating hours and supply of parts and tools

Low
32
Researching and implementing regulatory and statutory requirements affecting manufacturing operations and the environment

Low
27
Coordinating the implementation of occupational health and safety requirements

Low
17
Overseeing the acquisition and installation of new plant and equipment

Very Low

12 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: 71
AI does it for you: 42

Sidekick wins, by 29 points.

How good a match is this?

3 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 1334, 1335, 1399

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

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 0.53% of the conversations.

The data is sorted by US job, and this one matches 3 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 manufacturing managers be worried?

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

Parts of it are changing. Production reports and budgets are rated Medium; planning, strategy, consulting, new products, quotes, staffing, maintenance, regulation and safety are Low; buying new plant rates Very Low. AI and factory data take on more planning; leadership 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 30 jobs in the “Managers” family, averaging 64. This one is below the family average.

Pit this against any other job →