US dataswitch to UK
Light Truck Drivers
obeying traffic laws and following established traffic and transportation procedures, reading maps and following written or verbal geographic directions and turning in receipts and money received from deliveries. If that's your week, this page is about your job.
The honest answer
AI changes the edges of this job, not the middle: obeying traffic laws and following established traffic and transportation procedures is work software can't reach.
What shifts is maintaining records, such as vehicle logs, records of cargo or billing statements, in accordance with regulations: the paper around the work, not the work.
Your week, as this page understands it
Drive a light vehicle, such as a truck or van, with a capacity of less than 26,001 pounds Gross Vehicle Weight (GVW), primarily to pick up merchandise or packages from a distribution center and deliver. May load and unload vehicle. The job title says “light truck drivers”. The real job is the part underneath: obeying traffic laws and following established traffic and transportation procedures. 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 light truck drivers is not one task. It is 13 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is obeying traffic laws and following established traffic and transportation procedures, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 0%
- changing shape
- 8%
- staying human
- 92%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 11 out of 100 (8–15 allowing for uncertainty): minimal exposure, across 13 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 light truck drivers 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.
- 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
0 tasksTasks 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.
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.
Changing shape
1 taskTasks 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.
Maintaining records, such as vehicle logs, records of cargo or billing statements, in accordance with regulations
The software now makes the first pass at records, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Maintain records, such as vehicle logs, records of cargo, or billing statements, in accordance with regulations.” (O*NET task statement)
How this row was scored
Exposure score: 49 out of 100 (45–53 allowing for uncertainty): partial 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: Vehicle logs and billing records follow set formats and are increasingly electronic, so software fills most in.
The five ratings: output a model can produce 3/4 · 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.
Staying human
12 tasksTasks 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.
Obeying traffic laws and following established traffic and transportation procedures
This work happens in the physical world: traffic laws, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Obey traffic laws and follow established traffic and transportation procedures.” (O*NET 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; someone qualified has to answer for it.
The rating behind it: Following the rules of the road happens while actually driving the vehicle.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reading maps and following written or verbal geographic directions
This work happens in the physical world: maps, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Read maps and follow written or verbal geographic directions.” (O*NET task statement)
How this row was scored
Exposure score: 21 out of 100 (17–25 allowing for uncertainty): low exposure, high 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: Route-finding is already handled well by mapping software, but following the route means actually driving it.
The five ratings: output a model can produce 3/4 · 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 4/4.
Loading and unloading trucks, vans or automobiles
This work happens in the physical world: trucks, vans or automobiles, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Load and unload trucks, vans, or automobiles.” (O*NET 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: Lifting goods on and off the truck is physical 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.
Verifying the contents of inventory loads against shipping papers
This work happens in the physical world: the contents of inventory loads against shipping papers, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Verify the contents of inventory loads against shipping papers.” (O*NET 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: Checking what is actually on the truck against the paperwork means physically looking at the load.
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.
Reporting any mechanical problems encountered with vehicles
This work happens in the physical world: any mechanical problems, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Report any mechanical problems encountered with vehicles.” (O*NET 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 same decision, made over and over; work that happens in the physical world.
The rating behind it: Writing up a fault is simple, but noticing it comes from driving and checking the vehicle yourself.
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 3/4.
Inspecting and maintaining vehicle supplies and equipment
This work happens in the physical world: vehicle supplies, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Inspect and maintain vehicle supplies and equipment, such as gas, oil, water, tires, lights, or brakes, to ensure that vehicles are in proper working condition.” (O*NET 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: Checking oil, tyres, water and lights is hands-on work on the vehicle itself.
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 3/4.
Presenting bills and receipts and collecting payments for goods
This work happens in the physical world: bills, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Present bills and receipts and collect payments for goods delivered or loaded.” (O*NET task statement)
How this row was scored
Exposure score: 12 out of 100 (8–16 allowing for uncertainty): minimal exposure, high 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: Bills and receipts can be produced automatically, but handing them over and taking payment happens at the door.
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 1/4 · how much data exists 3/4.
Driving vehicles with capacities under three tons to transport materials to and from specified destinations
This work happens in the physical world: vehicles, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Drive vehicles with capacities under three tons to transport materials to and from specified destinations, such as railroad stations, plants, residences, offices, or within industrial yards.” (O*NET 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; someone qualified has to answer for it.
The rating behind it: This is driving a vehicle, which needs a person behind the wheel.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Turning in receipts and money received from deliveries
This work happens in the physical world: receipts, in a real place. Software cannot follow it there.
importance 5 · SupplementalSource: “Turn in receipts and money received from deliveries.” (O*NET 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: Handing in cash and paper receipts at the depot is a physical errand.
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.
Show the other 3 tasks
Reporting delays, accidents or other traffic and transportation situations to bases or other vehicles
staying humanThis work happens in the physical world: delays, accidents or other traffic and transportation situations, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Report delays, accidents, or other traffic and transportation situations to bases or other vehicles, using telephones or mobile two-way radios.” (O*NET task statement)
How this row was scored
Exposure score: 12 out of 100 (5–19 allowing for uncertainty): minimal 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: Tracking systems can flag delays automatically, but the driver on the scene knows what actually happened.
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 1/4 · how much data exists 3/4.
Using and maintaining the tools or equipment found on commercial vehicles
staying humanThis work happens in the physical world: the tools, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Use and maintain the tools or equipment found on commercial vehicles, such as weighing or measuring devices.” (O*NET 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: Operating and looking after the tools carried on the truck 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.
Performing emergency repairs, such as changing tires or installing light bulbs, fuses, tire chains or spark plugs
staying humanThis work happens in the physical world: emergency repairs, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Perform emergency repairs, such as changing tires or installing light bulbs, fuses, tire chains, or spark plugs.” (O*NET 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: Changing a tyre or fitting a bulb at the roadside is physical repair 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.
What this job pays, and how many people do it
- Median pay
- $44,860a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
- People doing this job
- 983,300in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)
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: records in, a record out. The rows above are exactly that shape: maintaining records, such as vehicle logs. What it cannot do is be answerable: traffic laws need a named person the rules will accept, and software cannot be that person. 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: obeying traffic laws and following established traffic and transportation procedures is the middle of this job, and the evidence on this page says it stays with a person.
So, given all that: 0% of this job's task weight sits in rows the software is already learning, 8% in rows that change shape rather than disappear, and 92% in rows it is nowhere near. That is the position, measured across 13 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. Maintaining records, such as vehicle logs 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 records, 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 traffic laws are in scope or not. Nothing to log into, no license 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 maintaining records, such as vehicle logs, records of cargo or billing statements, in accordance with regulations. 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, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, 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 US occupations to light truck drivers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was shuttle drivers and chauffeurs: only about 14% of its durable work is work you already do and it pays 16.9% less. And on the numbers you do not need one. This job scores 11/100 here, with only 0% of the task list in the top band, and “obey traffic laws and follow established traffic and transportation procedures” 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 830 US 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.
Shuttle Drivers and Chauffeurs
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already read maps and follow written or verbal geographic directions, and their equivalent is to read maps and follow written and verbal geographic directions. Across both published task lists that is about 14% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 14% 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: $37,290 against your $44,860, 16.9% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Bus Drivers, School
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already read maps and follow written or verbal geographic directions, and their equivalent is to read maps and follow written and verbal geographic directions. Across both published task lists that is about 13% of the durable work in that job.
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.
Heavy and Tractor-Trailer Truck Drivers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already present bills and receipts and collect payments for goods delivered or loaded, and their equivalent is to obtain receipts or signatures for delivered goods and collect payment for services when…. Across both published task lists that is about 13% of the durable work in that job.
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.
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: 0% of its task weight, across 13 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 obeying traffic laws and following established traffic and transportation procedures 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 States figures
The United Kingdom splits this work across more than one official group, of which Taxi and cab drivers and chauffeurs is the closest. The pay and employment figures are not directly comparable, and we do not average them together.
Switch to the United Kingdom page →partial match
The other groups this work is counted across:
In UK official statistics this job is counted as Taxi and cab drivers and chauffeurs, Road transport drivers n.e.c. and Delivery drivers and couriers. 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.
Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
Free
Why there is no community here
Collab365, who build this site, run paid Spaces for a small number of subjects, and none of them is built for this job. We are not going to point you at the nearest one and call it a fit.
So the free services listed on this page are the whole answer, and it is the same answer we would give a friend.
Noted, and thank you. We’ll email you if a Space for light truck drivers launches. Nothing else.
That did not look like an email address, so nothing was saved. Have another go below.
We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.
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 Light Truck Drivers?
- Not as a job, but it is already doing parts of the work. Across the 13 official task statements scored for Light Truck Drivers (United States, SOC 53-3033), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 11 out of 100 (range 8–15, band: minimal). 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 “Light Truck Drivers” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Maintain records, such as vehicle logs, records of cargo, or billing statements, in accordance with regulations” (49/100, partial); “Read maps and follow written or verbal geographic directions” (21/100, low); “Report any mechanical problems encountered with vehicles” (17/100, minimal). 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 “Light Truck Drivers” stay human?
- About 92% 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: “Perform emergency repairs, such as changing tires or installing light bulbs, fuses, tire chains, or spark plugs” (0/100, minimal); “Use and maintain the tools or equipment found on commercial vehicles, such as weighing or measuring devices” (0/100, minimal); “Drive vehicles with capacities under three tons to transport materials to and from specified destinations, such as railroad stations, plants, residences, off…” (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 “Light Truck Drivers” do about AI?
- Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 92% 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 Light Truck Drivers 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 13 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
Worth knowing about these figures
- The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
- 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
- onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
- Task weights
- onet-db (im-rt)
- Scores
- Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-04.
- Pay and employment
- bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))
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.
Using these figures?
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}
}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.