Will AI replace Production managers and directors in manufacturing?

Not as a job, but it is already doing parts of the work. Across the 58 official task statements scored for Production managers and directors in manufacturing (United Kingdom, SOC 1121), 31% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 44 out of 100 (range 38–50, band: partial). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

What should someone working in “Production managers and directors in manufacturing” do about AI?

Start from the ledger rather than the headline: 31% of this job's weighted core work is exposed, and roughly 53% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.

How is the AI exposure score for Production managers and directors in manufacturing calculated?

Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 58 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

UK dataswitch to US

Production managers and directors in manufacturing

ensuring that quality standards and targets for orders are met, maintaining records to demonstrate compliance with health and analysing operational reports to detect production problems. If that's your week, this page is about your job.

The honest answer

AI is already taking a real slice of the routine work here: collating data and producing reports on manufacturing performance. That is a slice of tasks, not of you.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 31%
changing shape: 17%
staying human: 53%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 44 out of 100 (38–50 allowing for uncertainty): partial exposure, across 58 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for production managers and directors in manufacturing is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

That slice is not coming back; the core of the job, supervising and motivating a team of workers, stays yours. The tools change, the responsibility doesn't.

Your week, as this page understands it

Production managers and directors in manufacturing plan, organise, direct and co-ordinate the activities and resources necessary for production in manufacturing industries including the maintenance of engineering items, equipment and machinery. The job title says “production managers” or “directors in manufacturing”: officially one job, two names. The real job is the part underneath: supervising and motivating a team of workers. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But production managers and directors in manufacturing is not one task. It is 58 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is supervising and motivating a team of workers, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 31%
changing shape: 17%
staying human: 53%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

One row is marked low confidence, so treat it as a ballpark rather than a fine measurement.
4 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

18 tasks

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Adjusting production schedules as required for optimal output
This is reading one thing and writing another: production schedules in, a record out. That is the shape today's tools are built for.
importance 85 · 1121/00
Source: “Adjust production schedules as required for optimal output.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reshuffling a schedule around orders, staff and machine time is a planning problem software solves well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Drawing up production plans to optimise manufacturing processes and resource allocation
This is reading one thing and writing another: production plans in, a record out. That is the shape today's tools are built for.
importance 85 · 1121/00
Source: “Draw up production plans to optimise manufacturing processes and resource allocation.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Production planning works from data about orders, capacity and materials, which software can turn into a plan.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reviewing performance data to measure productivity and identify areas for improvement
This is reading one thing and writing another: performance data in, a record out. That is the shape today's tools are built for.
importance 85 · 1121/00
Source: “Review performance data to measure productivity and identify areas for improvement.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reading productivity figures and naming where to improve is analysis software does quickly and clearly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Collating data and producing reports on manufacturing performance
This is reading one thing and writing another: data in, a record out. That is the shape today's tools are built for.
importance 80 · 1121/00
Source: “Collate data and produce reports on manufacturing performance.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Pulling manufacturing figures together into a report is routine work software already produces.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Changing shape

10 tasks

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Monitoring production processes to maximise manufacturing efficiency
The software now makes the first pass at production processes, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 1121/00
Source: “Monitor production processes to maximise manufacturing efficiency.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Process data is already digital, so spotting where efficiency is lost is well suited to automatic analysis.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reducing waste to minimise the environmental footprint
The software now makes the first pass at waste, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 1121/00
Source: “Reduce waste to minimise the environmental footprint.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Waste data can be analysed automatically, though cutting it means changing what happens on the line.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining stock levels to ensure efficient inventory management
The software now makes the first pass at stock levels, but part of it still happens in the physical world. So the job becomes checking and deciding rather than producing.
importance 85 · 1121/00
Source: “Maintain stock levels to ensure efficient inventory management.” (UK task statement)
How this row was scored
Exposure score: 41 out of 100 (34–48 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Working out what to reorder and when is well-documented number work software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.

Staying human

30 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Ensuring that quality standards and targets for orders are met
The ratings behind this row put quality standards well outside what today's tools can do on their own.
importance 90 · 1121/00
Source: “Ensure that quality standards and targets for orders are met.” (UK task statement)
How this row was scored
Exposure score: 37 out of 100 (30–44 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Quality targets can be tracked automatically, but keeping them on track means being around the line.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Monitoring product quality to ensure compliance with standards and specifications
This work happens in the physical world: product quality, in a real place. Software cannot follow it there.
importance 90 · 1121/00
Source: “Monitor product quality to ensure compliance with standards and specifications.” (UK task statement)
How this row was scored
Exposure score: 25 out of 100 (18–32 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Production data can be tracked and flagged automatically, but checking actual product against specification happens on the line.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Implementing quality control programmes to ensure product consistency
This work happens in the physical world: quality control programmes, in a real place. Software cannot follow it there.
importance 90 · 1121/00
Source: “Implement quality control programmes to ensure product consistency.” (UK task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: The programme can be drafted on a screen, but putting it into practice happens on the shop floor.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Show the other 48 tasks

Preparing reports on operations and system productivity or efficiency
shifting to AI
This is reading one thing and writing another: reports in, a record out. That is the shape today's tools are built for.
importance 80 · 1121/00
Source: “Prepare reports on operations and system productivity or efficiency.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Productivity and efficiency reports are built from system data, which software can assemble and write up.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing detailed production reports
shifting to AI
This is reading one thing and writing another: detailed production reports in, a record out. That is the shape today's tools are built for.
importance 75 · 1121/00
Source: “Prepare detailed production reports for research, manufacturing and assembly processes.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Detailed production reports are assembled from recorded data, which software does quickly.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Writing reports summarising work outcomes
shifting to AI
This is reading one thing and writing another: reports summarising work outcomes in, a record out. That is the shape today's tools are built for.
importance 75 · 1121/00
Source: “Write reports summarising work outcomes.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Summary reports of work outcomes follow set formats and can be drafted from recorded data.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing estimate of production costs for management
shifting to AI
This is reading one thing and writing another: estimate of production costs in, a record out. That is the shape today's tools are built for.
importance 70 · 1121/00
Source: “Prepare estimate of production costs for management.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Costing a production run from material, labour and overhead figures is spreadsheet work software does well.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reviewing technological advances to stay informed on quality control issues
shifting to AI
This is reading one thing and writing another: technological advances in, a record out. That is the shape today's tools are built for.
importance 75 · 1121/00
Source: “Review technological advances to stay informed on quality control issues.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (76–90 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Technical advances in quality control are published widely, so keeping current suits automatic summarising.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Maintaining records to demonstrate compliance with health
shifting to AI
This is reading one thing and writing another: records in, a record out. That is the shape today's tools are built for.
importance 80 · 1121/00
Source: “Maintain records to demonstrate compliance with health, safety, and environmental regulations.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping compliance records for health, safety and environment is structured record-keeping software handles.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining employee records to track workforce performance and productivity
shifting to AI
This is reading one thing and writing another: employee records in, a record out. That is the shape today's tools are built for.
importance 75 · 1121/00
Source: “Maintain employee records to track workforce performance and productivity.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Employee performance records are structured data that systems already maintain.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analysing operational reports to detect production problems
shifting to AI
This is reading one thing and writing another: operational reports in, a record out. That is the shape today's tools are built for.
importance 80 · 1121/00
Source: “Analyse operational reports to detect production problems.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reading operational reports to spot production problems is pattern-finding in data that software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring production rates to assess productivity
shifting to AI
This is reading one thing and writing another: production rates in, a record out. That is the shape today's tools are built for.
importance 80 · 1121/00
Source: “Monitor production rates to assess productivity.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Production rates come straight from machine data, so measuring output is well suited to automatic reporting.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Ordering resources to ensure availability for operations
shifting to AI
This is reading one thing and writing another: resources in, a record out. That is the shape today's tools are built for.
importance 80 · 1121/00
Source: “Order resources to ensure availability for operations.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reordering from stock levels and lead times is largely a system task, though supplier judgement remains.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Coordinating stock and ordering activities
shifting to AI
This is reading one thing and writing another: stock in, a record out. That is the shape today's tools are built for.
importance 80 · 1121/00
Source: “Coordinate stock and ordering activities.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Stock and ordering run on system data, so reordering can largely be automated, with some checking on site.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring and updating permit requirements as per regulatory changes
shifting to AI
This is reading one thing and writing another: permit requirements in, a record out. That is the shape today's tools are built for.
importance 70 · 1121/00
Source: “Monitor and update permit requirements as per regulatory changes.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (59–73 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Permit rules are published, so tracking changes and flagging what needs updating suits automation.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reviewing production orders to decide on work procedures and duty assignments
shifting to AI
This is reading one thing and writing another: production orders in, a record out. That is the shape today's tools are built for.
importance 80 · 1121/00
Source: “Review production orders to decide on work procedures and duty assignments, considering budget and time constraints.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Turning orders into work procedures and duty lists within budget is a scheduling task software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Identifying training needs based on performance reviews
shifting to AI
This is reading one thing and writing another: needs in, a record out. That is the shape today's tools are built for.
importance 70 · 1121/00
Source: “Identify training needs based on performance reviews.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reading appraisal records to spot training gaps is analysis software handles well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Developing procedures for the normal operation of manufacturing systems
changing shape
The software now makes the first pass at procedures, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 75 · 1121/00
Source: “Develop procedures for the normal operation of manufacturing systems.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Operating procedures follow well-known formats and can be drafted from equipment documentation.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Selecting suitable machinery and tools to optimise production efficiency
changing shape
The software now makes the first pass at suitable machinery, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 75 · 1121/00
Source: “Select suitable machinery and tools to optimise production efficiency.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Machinery specifications and comparisons are documented, so shortlisting suitable kit can be automated.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Developing plans for facility modification
changing shape
The software now makes the first pass at plans, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 1121/00
Source: “Develop plans for facility modification including equipment purchase.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Facility modification plans and equipment cases are documented work that software can draft.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Selecting suitable equipment and planning operational activities
changing shape
The software now makes the first pass at suitable equipment, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 1121/00
Source: “Select suitable equipment and plan operational activities.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Equipment options are documented, so drafting a selection and activity plan can largely be automated.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Coordinating with suppliers on procurement matters to ensure efficient supply chain operations
changing shape
The software now makes the first pass at suppliers, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 80 · 1121/00
Source: “Coordinate with suppliers on procurement matters to ensure efficient supply chain operations.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (46–60 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Routine supplier dealings can be handled digitally, but the relationship still shapes what you get.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Developing production, inventory or quality assurance programmes
changing shape
The software now makes the first pass at production, inventory or quality assurance programmes, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 80 · 1121/00
Source: “Develop production, inventory, or quality assurance programmes.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Draft programmes can be produced automatically, but they have to be shaped around this plant's realities.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Continuallying improve business performance, taking into account legislation, fuel costs and environmental pressures
changing shape
The software now makes the first pass at improve business performance, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 75 · 1121/00
Source: “Continually improve business performance, taking into account legislation, fuel costs, and environmental pressures.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Cost and legislation analysis can be automated, but improving performance means changing real operations.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Planning new products and production processes to optimise manufacturing operations
staying human
The ratings behind this row put new products well outside what today's tools can do on their own.
importance 85 · 1121/00
Source: “Plan new products and production processes to optimise manufacturing operations.” (UK task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: New products and processes can be sketched digitally, but proving them out needs trials on real equipment.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Setting quality standards for manufacturing processes to ensure product excellence
staying human
The ratings behind this row put quality standards well outside what today's tools can do on their own.
importance 80 · 1121/00
Source: “Set quality standards for manufacturing processes to ensure product excellence.” (UK task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Standards can be drafted from published guidance, but setting them for this plant needs process knowledge.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Approving expenditures to manage financial resources
staying human
The ratings behind this row put expenditures well outside what today's tools can do on their own.
importance 75 · 1121/00
Source: “Approve expenditures to manage financial resources.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over.
The rating behind it: Checks and reconciliation can be automated, but authorising spend is a decision the manager is accountable for.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Communicating with different departments for inter-departmental collaboration
staying human
The value here is that a specific person handles different departments and stands behind it. That is earned, not computed.
importance 75 · 1121/00
Source: “Communicate with different departments for inter-departmental collaboration.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Working across departments depends on relationships, though much of the messaging can be drafted.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Planning pre-production, including staffing for multi-disciplinary teams to meet manufacturing goals
staying human
The ratings behind this row put pre-production well outside what today's tools can do on their own.
importance 80 · 1121/00
Source: “Plan pre-production, including staffing for multi-disciplinary teams to meet manufacturing goals.” (UK task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Pre-production plans can be drafted digitally, but staffing a mixed team depends on knowing the people.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Coordinating with teams to facilitate effective project management
staying human
The value here is that a specific person handles teams and stands behind it. That is earned, not computed.
importance 75 · 1121/00
Source: “Coordinate with teams to facilitate effective project management.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Coordination tools can carry much of this, but keeping teams aligned still runs on people talking.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Achieving specified performance targets
staying human
The ratings behind this row put specified performance targets well outside what today's tools can do on their own.
importance 85 · 1121/00
Source: “Achieve specified performance targets.” (UK task statement)
How this row was scored
Exposure score: 26 out of 100 (14–38 allowing for uncertainty): low exposure, low confidence.
Why it sits in this group: the same decision, made over and over.
The rating behind it: Dashboards can show whether targets are being met, but actually hitting them depends on running the plant and its people.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Recruiting new employees to optimise production processes
staying human
The value here is that a specific person handles new employees and stands behind it. That is earned, not computed.
importance 75 · 1121/00
Source: “Recruit new employees to optimise production processes.” (UK task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Sifting applications can be automated, but hiring decisions still rest on meeting people.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Conferring with research or supporting staff to develop new products or processes
staying human
The value here is that a specific person handles research and stands behind it. That is earned, not computed.
importance 70 · 1121/00
Source: “Confer with research or support staff to develop new products or processes.” (UK task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Developing new products with research staff runs on discussion and shared trials, though notes can be drafted.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Reporting major repair needs for machines
staying human
This work happens in the physical world: major repair needs, in a real place. Software cannot follow it there.
importance 80 · 1121/00
Source: “Report major repair needs for machines.” (UK task statement)
How this row was scored
Exposure score: 25 out of 100 (18–32 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Knowing a machine needs major repair usually comes from being there and seeing or hearing it.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Coordinating the repair of damaged equipment to ensure operational efficiency
staying human
This work happens in the physical world: the repair of damaged equipment, in a real place. Software cannot follow it there.
importance 85 · 1121/00
Source: “Coordinate the repair of damaged equipment to ensure operational efficiency.” (UK task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Arranging a repair can be organised digitally, but the machine still needs people beside it.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Implementing operational and emergency response procedures in manufacturing
staying human
This work happens in the physical world: operational, in a real place. Software cannot follow it there.
importance 85 · 1121/00
Source: “Implement operational and emergency response procedures in manufacturing.” (UK task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Procedures can be written automatically, but running drills and emergency response needs people on site.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Conducting staff appraisals and developing professional growth plans
staying human
The value here is that a specific person handles staff appraisals and stands behind it. That is earned, not computed.
importance 75 · 1121/00
Source: “Conduct staff appraisals and develop professional growth plans.” (UK task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: An appraisal works because a manager who knows the person sits down with them.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Adhering to health and safety requirements in the workplace
staying human
This work happens in the physical world: health, in a real place. Software cannot follow it there.
importance 90 · 1121/00
Source: “Adhere to health and safety requirements in the workplace.” (UK task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Following safety rules on a factory floor is something a person does with their own body and attention.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Addressing employee grievances
staying human
The value here is that a specific person handles employee grievances and stands behind it. That is earned, not computed.
importance 80 · 1121/00
Source: “Address employee grievances.” (UK task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Grievances are resolved through trust and confidential conversation, even if the paperwork can be drafted.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Negotiating and agreeing on budgets with clients and managers
staying human
The value here is that a specific person handles budgets and stands behind it. That is earned, not computed.
importance 75 · 1121/00
Source: “Negotiate and agree on budgets with clients and managers.” (UK task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Agreeing a budget is a negotiation where trust between the people in the room decides the outcome.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Conducting meetings with staff to discuss production progress and to ensure production objectives
staying human
The value here is that a specific person handles meetings and stands behind it. That is earned, not computed.
importance 85 · 1121/00
Source: “Conduct meetings with staff to discuss production progress and to ensure production objectives are attained.” (UK task statement)
How this row was scored
Exposure score: 17 out of 100 (10–24 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Progress meetings work because people are in the room reading each other and committing to actions.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Implementing company policies and goals in collaboration with managers
staying human
The value here is that a specific person handles company policies and stands behind it. That is earned, not computed.
importance 80 · 1121/00
Source: “Implement company policies and goals in collaboration with managers.” (UK task statement)
How this row was scored
Exposure score: 17 out of 100 (10–24 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Turning company goals into what people actually do depends on managers working together in person.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Supervising staff to ensure compliance with job standards
staying human
The value here is that a specific person handles staff and stands behind it. That is earned, not computed.
importance 80 · 1121/00
Source: “Supervise staff to ensure compliance with job standards.” (UK task statement)
How this row was scored
Exposure score: 17 out of 100 (13–21 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Supervision works through a relationship with the people being supervised.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Completing customer orders within company regulations and cost & time limitations
staying human
This work happens in the physical world: customer orders within company regulations, in a real place. Software cannot follow it there.
importance 80 · 1121/00
Source: “Complete customer orders within company regulations and cost & time limitations.” (UK task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Getting an order actually made and out of the door depends on people and machines doing the work.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Managing the production team to ensure efficient manufacturing processes
staying human
This work happens in the physical world: the production team, in a real place. Software cannot follow it there.
importance 85 · 1121/00
Source: “Manage the production team to ensure efficient manufacturing processes.” (UK task statement)
How this row was scored
Exposure score: 9 out of 100 (2–16 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Running a production team depends on a manager the workers know and trust, present on the floor.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Conducting site audits to ensure adherence to safety and environmental regulations
staying human
This work happens in the physical world: site audits, in a real place. Software cannot follow it there.
importance 80 · 1121/00
Source: “Conduct site audits to ensure adherence to safety and environmental regulations.” (UK task statement)
How this row was scored
Exposure score: 9 out of 100 (2–16 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Audit checklists and reports can be produced automatically, but an audit means walking the site and seeing what is happening.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Managing the production line team to ensure accurate and timely delivery of customer orders
staying human
This work happens in the physical world: the production line team, in a real place. Software cannot follow it there.
importance 80 · 1121/00
Source: “Manage the production line team to ensure accurate and timely delivery of customer orders.” (UK task statement)
How this row was scored
Exposure score: 9 out of 100 (2–16 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Leading a line team through a busy day depends on a manager the crew knows, present with them.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Training and supervising staff to ensure effective job performance
staying human
This work happens in the physical world: staff, in a real place. Software cannot follow it there.
importance 75 · 1121/00
Source: “Train and supervise staff to ensure effective job performance.” (UK task statement)
How this row was scored
Exposure score: 9 out of 100 (5–13 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Training and supervising staff depends on a person alongside them on the floor.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Training staff in specific job roles to enhance performance
staying human
This work happens in the physical world: staff, in a real place. Software cannot follow it there.
importance 70 · 1121/00
Source: “Train staff in specific job roles to enhance performance.” (UK task statement)
How this row was scored
Exposure score: 9 out of 100 (5–13 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Training someone in a job role means showing them at the machine and watching them try.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Examining samples of raw products or directing testing during processing
staying human
This work happens in the physical world: samples of raw products, in a real place. Software cannot follow it there.
importance 75 · 1121/00
Source: “Examine samples of raw products or direct testing during processing.” (UK task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Examining raw product samples means handling the material and testing it in the plant.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Supervising and motivating a team of workers
staying human
This work happens in the physical world: a team of workers, in a real place. Software cannot follow it there.
importance 85 · 1121/00
Source: “Supervise and motivate a team of workers.” (UK task statement)
How this row was scored
Exposure score: 7 out of 100 (3–11 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Motivating a team rests on a person the workers know, standing with them.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 1/4.

What this job pays, and how many people do it

Median pay: £58,600a year, before tax, the middle of the range, so half earn more and half earn less.ashe-t14, 2025 · ASHE 2025 provisional (reference April 2025)Provisional, because the ONS revises this figure in the autumn.
How we know this
Source: ashe-t14
Reference period: ASHE 2025 provisional (reference April 2025)
Rounding: Shown to the nearest £100. The exact published figure is in the downloadable dataset. We do not render pounds the survey cannot support.
People doing this job: 227,800in the UK, 2026.nomis-aps · Apr 2025-Mar 2026 (latest APS 12-month period)This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: production schedules in, a record out. The rows above are exactly that shape: collating data and producing reports on manufacturing performance and adjusting production schedules as required for optimal output. What it cannot do is be there in the room, and that is still where a team of workers gets done. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

Your week is splitting in two, and which half fills it is the whole question. Collating data and producing reports on manufacturing performance is going; supervising and motivating a team of workers is not.

So, given all that: 31% of this job's task weight sits in rows the software is already learning, 17% in rows that change shape rather than disappear, and 53% in rows it is nowhere near. That is the position, measured across 58 scored tasks. It is not a forecast about you.

The occupation is an average and you are not, so the first job below is finding out where your own week actually sits.

This week: one thing

Print the task ledger above and put your own hours next to each row. Roughly, in pen, in one sitting. Then look at which group your hours actually pile up in. Twenty minutes, this week.

What you end up holding: your own week, on one page, sorted into what is shifting and what is not
How long it takes: about twenty minutes

If printing it isn’t practical: Read the rows off this page and write the same list on the back of an envelope. Same twenty minutes, same page, and it works just as well said out loud to someone who knows the job. The point is your hours next to the rows, not the paper it is on.

Over the next 90 days

Volunteer toward the durable end, visibly. Over the next ninety days put your hand up for the work in the bottom group (supervising and motivating a team of workers) and let people see you doing it. Not a new project: the same job, with your mix deliberately tilted. The point is that when the rota or the reorganisation comes, the version of you people picture is the one doing the part that stays.

Over the next 12 months

Claim a specialism at the durable end and let the other end go. Over a year, deliberately become the person who handles supervising and motivating a team of workers, and deliberately stop being the first choice for the rows in the top group. That trade costs something, because the exposed work is often the comfortable work. Decide it on purpose rather than by drift. Before you pay for anything, spend an hour with National Careers Service. It is free and government-funded, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest UK occupations to production managers and directors in manufacturing (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was science, engineering and production technicians n.e.c.: only about 13% of its durable work is work you already do, it pays 38.4% less and there are far fewer of those jobs than of yours. Your own job splits about 31/69: that share of the list sits in the top exposure band and the rest does not. On this evidence the honest move is inside the job rather than out of it. Become the person who owns “adhere to health and safety requirements in the workplace”, and let the exposed end go.

How that was checked: this job was compared against all 412 UK occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

Science, engineering and production technicians n.e.c.
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “monitor product quality to ensure compliance with standards and specifications”. Across the whole of both lists that adds up to about 13% of the work in that job the software is not taking.
Why I am not recommending it: You would be starting most of it from nothing: about 13% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. It is a pay cut, in those words: £36,102 against your £58,640, 38.4% less (ASHE Table 14.7a, 2025 provisional (both)). Retraining to earn less is a decision, not advice. And it is a narrow door: about 38,000 of those jobs against 227,800 of yours (ONS via Nomis), 17% as many seats.
Look at that job’s page anyway →
Managers in logistics
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “continually improve business performance, taking into account legislation, fuel costs, and environmental pressures”. Across the whole of both lists that adds up to about 11% of the work in that job the software is not taking.
Why I am not recommending it: You would be starting most of it from nothing: about 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. It is a pay cut, in those words: £46,143 against your £58,640, 21.3% less (ASHE Table 14.7a, 2025 provisional (both)). Retraining to earn less is a decision, not advice. And it is a narrow door: about 34,900 of those jobs against 227,800 of yours (ONS via Nomis), 15% as many seats.
Look at that job’s page anyway →
Planning, process and production technicians
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already monitor product quality to ensure compliance with standards and specifications, and their equivalent is to monitor work processes to ensure standard compliance. Across both published task lists that is about 9% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 9% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: £36,895 against your £58,640, 37.1% less (ASHE Table 14.7a, 2025 provisional (both)). Retraining to earn less is a decision, not advice. And it is a narrow door: about 22,500 of those jobs against 227,800 of yours (ONS via Nomis), 10% as many seats.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 31% of its task weight, across 58 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The whole-job doom story
Nothing on this page says this job ends. It says the mix inside it moves. Half the rows above are unchanged or changing shape, and the plan is about which half your week sits in. That is a very different problem, and a solvable one.
Panic-buying a course
Do the twenty-minute sorting exercise first. Most people who buy a course before they have done it buy the wrong one, and the free services listed below will tell you the same thing without charging for it.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

If you run a team doing this job

If you run a team doing this job, the conversation you owe them is the one on this page, and sooner than feels comfortable. Show them the ledger rather than a reassurance: the rows moving toward the software are collating data and producing reports on manufacturing performance, and the rows that are not are where you want your people visible. Ask each of them to do the this-week move and bring the list to your next one-to-one. It turns a rumour into a piece of work, and it tells you which parts of your team's week are actually at stake. And say the thing out loud that a team lead usually leaves unsaid: a shrinking team is your exposure too, so do the move yourself as well.

You are reading the United Kingdom figures

The United States splits this work across more than one official group, of which Industrial Production Managers is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United States page →partial match

In US official statistics this job is counted as Industrial Production Managers. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

In England:
National Careers Service
A free hour with a government-funded careers adviser is worth more than another evening of reading. In England that's the National Careers Service.
Free, government-funded
- Discover your skills and careers (the skills assessment)
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No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for production managers / directors in manufacturing, and we are not going to point you at the nearest one and call it a fit.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 31% of the work on this page is already inside what they can do.

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The AI Authority is a general community about working with AI, not a course for production managers / directors in manufacturing. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

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No Space for production managers / directors in manufacturing yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

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Collab365 launches new communities where the need is real. If one for production managers / directors in manufacturing existed, with researched problems, courses and people in the same boat, would you want in?

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This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Production managers and directors in manufacturing?: Not as a job, but it is already doing parts of the work. Across the 58 official task statements scored for Production managers and directors in manufacturing (United Kingdom, SOC 1121), 31% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 44 out of 100 (range 38–50, band: partial). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Production managers and directors in manufacturing” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Collate data and produce reports on manufacturing performance” (93/100, very high); “Prepare reports on operations and system productivity or efficiency” (93/100, very high); “Prepare detailed production reports for research, manufacturing and assembly processes” (93/100, very high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Production managers and directors in manufacturing” stay human?: About 53% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Supervise and motivate a team of workers” (7/100, minimal); “Examine samples of raw products or direct testing during processing” (8/100, minimal); “Train staff in specific job roles to enhance performance” (9/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Production managers and directors in manufacturing” do about AI?: Start from the ledger rather than the headline: 31% of this job's weighted core work is exposed, and roughly 53% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Production managers and directors in manufacturing calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 58 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

About the data on this page

Provisional, because the ONS revises this figure in the autumn.
This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.
One row is marked low confidence, so treat it as a ballpark rather than a fine measurement.
The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
4 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: gaisi-indexProcessing: catalogue-bridge → ssc-relatedness-weighting → task-scoring → score-aggregation
Task weights: gaisi-index (relatedness)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: ashe-t14 (ASHE 2025 provisional (reference April 2025))nomis-aps (Apr 2025-Mar 2026 (latest APS 12-month period))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

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Cite this

Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.