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Delivery drivers and couriers

delivering messages or materials, obtaining signatures and payments from recipients and recording items received, delivered and recipients' responses to messages. 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: determining the most efficient travel route for deliveries. That is a slice of tasks, not of you.

Your move: what you can actually do about this ↓

That slice is not coming back; the core of the job, delivering messages or materials, stays yours. New tools, same person answering for it.

Your week, as this page understands it

Delivery drivers and couriers collect, transport and deliver goods using a range of vehicles, including bicycles and motor vehicles up to 7.5 tonnes in weight. The job title says “delivery drivers” or “couriers”: officially one job, two names. The real job is the part underneath: delivering messages or materials. 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 delivery drivers and couriers is not one task. It is 15 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is delivering messages or materials, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI
19%
changing shape
0%
staying human
81%

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

Whole-job exposure score 21 out of 100 (18–25 allowing for uncertainty): low exposure, across 15 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 delivery drivers and couriers 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.

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.

Shifting to AI

3 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.

  • Determining the most efficient travel route for deliveries

    This is reading one thing and writing another: the most efficient travel route in, a record out. That is the shape today's tools are built for.

    importance 80 · 8214/01
    Source: “Determine the most efficient travel route for deliveries.” (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: Route planning is exactly what satellite navigation and delivery software already do better than a person.

    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.

  • Recording items received, delivered and recipients' responses to messages

    This is reading one thing and writing another: items received, delivered and recipients' responses in, a record out. That is the shape today's tools are built for.

    importance 70 · 8214/01
    Source: “Record items received, delivered, and recipients' responses to messages.” (UK task statement)
    How this row was scored

    Exposure score: 69 out of 100 (65–73 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: Scanners and delivery apps already record what was delivered and to whom.

    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.

  • Using telephone to deliver verbal messages to intended recipients

    This is reading one thing and writing another: telephone in, a record out. That is the shape today's tools are built for.

    importance 50 · 8214/01
    Source: “Use telephone to deliver verbal messages to intended recipients.” (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: Passing on a message by phone is something automated calling and messaging systems already do.

    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.

Changing shape

0 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.

Nothing in this job’s scored task list landed in this group. That is the measurement, not an editorial choice, and it is worth knowing either way.

Staying human

12 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.

  • Delivering messages or materials

    This work happens in the physical world: messages, in a real place. Software cannot follow it there.

    importance 85 · 8214/01
    Source: “Deliver messages or materials by walking, riding bicycles, driving vehicles, or using public transport.” (UK task statement)
    How this row was scored

    Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.

    Why it sits in this group: work that happens in the physical world.

    The rating behind it: Getting a parcel from one place to another means physically travelling with it.

    The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

  • Confirming deliveries and collections with head offices and receiving further delivery instructions

    This work happens in the physical world: deliveries, in a real place. Software cannot follow it there.

    importance 80 · 8214/01
    Source: “Confirm deliveries and collections with head offices and receive further delivery instructions.” (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: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.

    The rating behind it: Confirming drops and taking new instructions is messaging apps already handle, but the driver is on the road.

    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 1/4 · how much data exists 3/4.

  • Receiving delivery messages or materials and recipient information via telephone

    This work happens in the physical world: delivery messages, in a real place. Software cannot follow it there.

    importance 80 · 8214/01
    Source: “Receive delivery messages or materials and recipient information via telephone, two-way radio, or in person.” (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: Taking in instructions is straightforward, but collecting the items themselves is physical.

    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.

  • Collecting payments from customers

    This work happens in the physical world: payments, in a real place. Software cannot follow it there.

    importance 75 · 8214/01
    Source: “Collect payments from customers.” (UK task statement)
    How this row was scored

    Exposure score: 10 out of 100 (3–17 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 value is that a specific person does it.

    The rating behind it: Card readers and apps handle most of the payment itself, but the doorstep exchange still happens in person.

    The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.

  • Obtaining signatures and payments from recipients

    This work happens in the physical world: signatures, in a real place. Software cannot follow it there.

    importance 75 · 8214/01
    Source: “Obtain signatures and payments from recipients.” (UK task statement)
    How this row was scored

    Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high 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: Signatures and payments are collected at the customer's door.

    The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

  • Carrying messages or documents between departments

    This work happens in the physical world: messages, in a real place. Software cannot follow it there.

    importance 70 · 8214/01
    Source: “Carry messages or documents between departments.” (UK task statement)
    How this row was scored

    Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.

    Why it sits in this group: work that happens in the physical world.

    The rating behind it: Carrying papers between departments means walking them there.

    The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.

  • Collecting outgoing post for processing to ensure efficient delivery

    This work happens in the physical world: post, in a real place. Software cannot follow it there.

    importance 70 · 8214/01
    Source: “Collect outgoing post for processing to ensure efficient delivery.” (UK task statement)
    How this row was scored

    Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.

    Why it sits in this group: work that happens in the physical world.

    The rating behind it: Collecting the outgoing post is physical work around the building.

    The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

Show the other 5 tasks

  • Managing the processing of incoming and outgoing post and deliveries

    staying human

    This work happens in the physical world: the processing, in a real place. Software cannot follow it there.

    importance 60 · 8214/01
    Source: “Manage the processing of incoming and outgoing post and deliveries.” (UK task statement)
    How this row was scored

    Exposure score: 10 out of 100 (6–14 allowing for uncertainty): minimal exposure, high 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: Post has to be physically sorted, carried and dispatched.

    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 3/4.

  • Sorting items for delivery based on the planned delivery route

    staying human

    This work happens in the physical world: items, in a real place. Software cannot follow it there.

    importance 70 · 8214/01
    Source: “Sort items for delivery based on the planned delivery route.” (UK task statement)
    How this row was scored

    Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high 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: Software can decide the order, but the parcels still have to be sorted by hand.

    The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

  • Carrying out routine maintenance on vehicles or auxiliary equipment

    staying human

    This work happens in the physical world: routine maintenance, in a real place. Software cannot follow it there.

    importance 60 · 8214/01
    Source: “Carry out routine maintenance on vehicles or auxiliary equipment, such as cleaning, lubricating, recharging batteries, refuelling, or replacing liquefied-gas tank.” (UK task statement)
    How this row was scored

    Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.

    Why it sits in this group: work that happens in the physical world.

    The rating behind it: Cleaning, refuelling and servicing a vehicle is hands-on work.

    The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

  • Transporting specimens, laboratory items or pharmacy items, ensuring proper documentation and delivery to authorised personnel

    staying human

    This work happens in the physical world: specimens, laboratory items or pharmacy items, in a real place. Software cannot follow it there.

    importance 60 · 8214/01
    Source: “Transport specimens, laboratory items, or pharmacy items, ensuring proper documentation and delivery to authorised personnel.” (UK task statement)
    How this row was scored

    Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.

    Why it sits in this group: work that happens in the physical world.

    The rating behind it: Specimens and medicines have to be physically carried and handed over.

    The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.

  • Running errands as required for office operations

    staying human

    This work happens in the physical world: errands, in a real place. Software cannot follow it there.

    importance 50 · 8214/01
    Source: “Run errands as required for office operations.” (UK task statement)
    How this row was scored

    Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.

    Why it sits in this group: work that happens in the physical world.

    The rating behind it: Running errands means going places and fetching things.

    The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 1/4.

What this job pays, and how many people do it

Median pay
£27,900a 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
287,500in 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: the most efficient travel route in, a record out. The rows above are exactly that shape: determining the most efficient travel route for deliveries and recording items received, delivered and recipients' responses to messages. What it cannot do is be there in the room, and that is still where messages get 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

Start with what does not change: delivering messages or materials is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 19% of this job's task weight sits in rows the software is already learning, 0% in rows that change shape rather than disappear, and 81% in rows it is nowhere near. That is the position, measured across 15 scored tasks. It is not a forecast about you.

So the thing worth your attention is not the job going away. It is the layer around it. Determining the most efficient travel route for deliveries is the part turning into software, and being the person who understands that layer is worth money.

This week: one thing

Ask the one question. Find whoever is bringing new software into your workplace (the manager, the office, whoever runs the system) and ask them what it is meant to do to the most efficient travel route, and what it is not meant to touch. Ten minutes, this week, before anyone decides it for you.

What you end up holding
a straight answer about what is actually being rolled out, and when
How long it takes
ten minutes

If there’s nobody obvious to ask, or you’d rather not ask your manager: Put the same question to your union rep, your shift lead or the person who has been there longest, in person, over a break. Same ten minutes, same answer, and you will usually get a straighter one. Write down what they say. The note is the artifact, and it tells you whether messages are in scope or not. Nothing to log into, no licence needed.

Over the next 90 days

Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near delivering messages or materials. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.

Over the next 12 months

On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. 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 delivery drivers and couriers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was hospital porters: only about 13% of its durable work is work you already do and there are far fewer of those jobs than of yours. And on the numbers you do not need one. This job scores 21/100 here, with only 19% of the task list in the top band, and “deliver messages or materials by walking, riding bicycles, driving vehicles, or using…” is not work that hands over cleanly. None of them beats deepening what you already have.

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.

  • Hospital porters

    Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “carry messages or documents between departments”. 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. And it is a narrow door: about 25,200 of those jobs against 287,500 of yours (ONS via Nomis), 9% as many seats.

    Look at that job’s page anyway →

  • Telephonists

    Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already receive delivery messages or materials and recipient information via telephone, two-way radio, or…, and their equivalent is to operate two-way radio systems for mobile communication. Across both published task lists that is about 7% of the durable work in that job.

    Why I am not recommending it: Almost none of it is work you already do: about 7% of the durable side of that job. That is a different job, not a next step. I will not move you off one melting floe onto another: 65% of its own task list already scores in the top exposure band (62/100 in this release), so the same software is eating it. And it is a narrow door: about 4,000 of those jobs against 287,500 of yours (ONS via Nomis), 1% as many seats.

    Look at that job’s page anyway →

  • Delivery operatives

    Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already sort items for delivery based on the planned delivery route, and their equivalent is to package items for delivery. Across both published task lists that is about 5% of the durable work in that job.

    Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step. And it is a narrow door: about 21,800 of those jobs against 287,500 of yours (ONS via Nomis), 8% 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: 19% of its task weight, across 15 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.

  • The headlines about your trade disappearing

    They are usually about the technology, not the timetable. Changes to work like delivering messages or materials arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.

  • Retraining out of a job that is holding up

    On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.

  • 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.

You are reading the United Kingdom figures

The United States splits this work across more than one official group, of which Baggage Porters and Bellhops 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

The other groups this work is counted across:

In US official statistics this job is counted as Baggage Porters and Bellhops, Ambulance Drivers and Attendants, Except Emergency Medical Technicians, Driver/Sales Workers, Light Truck Drivers, Shuttle Drivers and Chauffeurs, Taxi Drivers and Motor Vehicle Operators, All Other. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

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.

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for delivery drivers / couriers, 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 19% of the work on this page is already inside what they can do.

Try The AI Authority free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

The AI Authority is a general community about working with AI, not a course for delivery drivers / couriers. 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.

Noted, and thank you. We’ll email you if a Space for delivery drivers / couriers launches. Nothing else.

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No Space for delivery drivers / couriers 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.

What a Space actually is, in full

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

We use your email address for one thing: to tell you if a Space for delivery drivers / couriers launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

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 Delivery drivers and couriers?
Not as a job, but it is already doing parts of the work. Across the 15 official task statements scored for Delivery drivers and couriers (United Kingdom, SOC 8214), 19% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 21 out of 100 (range 18–25, band: low). 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 “Delivery drivers and couriers” can AI already do?
The highest-scoring tasks in release 2026-q4.1 are: “Determine the most efficient travel route for deliveries” (93/100, very high); “Record items received, delivered, and recipients' responses to messages” (69/100, high); “Use telephone to deliver verbal messages to intended recipients” (64/100, 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 “Delivery drivers and couriers” stay human?
About 81% 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: “Run errands as required for office operations” (0/100, minimal); “Transport specimens, laboratory items, or pharmacy items, ensuring proper documentation and delivery to authorised personnel” (0/100, minimal); “Carry out routine maintenance on vehicles or auxiliary equipment, such as cleaning, lubricating, recharging batteries, refuelling, or replacing liquefied-gas…” (0/100, 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 “Delivery drivers and couriers” do about AI?
Start from the ledger rather than the headline: 19% of this job's weighted core work is exposed, and roughly 81% 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 Delivery drivers and couriers 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 15 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.
  • The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
  • 2 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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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 . 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.