US dataswitch to UK
Gas Compressor and Gas Pumping Station Operators
monitoring meters and pressure gauges to determine consumption rate variations, moving controls and turn valves to start compressor engines and operating power-driven pumps that transfer liquids. 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: submitting daily reports on facility operations. That is a slice of tasks, not of you.
That slice is not coming back; the core of the job, moving controls and turn valves to start compressor engines, stays yours. The tools change hands, the accountability doesn't.
Your week, as this page understands it
Operate steam-, gas-, electric motor-, or internal combustion-engine driven compressors. Transmit, compress, or recover gases, such as butane, nitrogen, hydrogen, and natural gas. The job title says “gas compressor” or “gas pumping station operators”: officially one job, two names. The real job is the part underneath: moving controls and turn valves to start compressor engines. 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 gas compressor and gas pumping station operators 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 moving controls and turn valves to start compressor engines, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 17%
- changing shape
- 0%
- staying human
- 83%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 22 out of 100 (19–27 allowing for uncertainty): low 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 gas compressor and gas pumping station operators 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 2026-08-05. 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.
- 3 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
2 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.
Recording instrument readings and operational changes in operating logs
This is reading one thing and writing another: instrument readings in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Record instrument readings and operational changes in operating logs.” (O*NET 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: Logging readings and operational changes is straightforward record-keeping that station systems can capture automatically.
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.
Submitting daily reports on facility operations
This is reading one thing and writing another: reports in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Submit daily reports on facility operations.” (O*NET 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: Daily operating reports are built from data the system already holds, which is exactly what software writes up 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.
Changing shape
0 tasksTasks 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
11 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.
Monitoring meters and pressure gauges to determine consumption rate variations
This work happens in the physical world: meters, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Monitor meters and pressure gauges to determine consumption rate variations, temperatures, and pressures.” (O*NET 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; work that happens in the physical world.
The rating behind it: Control software already tracks pressures and temperatures well, but operators still walk the station to check gauges in person.
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 3/4.
Adjusting valves and equipment to obtain specified performance
This work happens in the physical world: valves, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Adjust valves and equipment to obtain specified performance.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (1–15 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Software can work out the right setting, but turning the valve to reach it needs a person at the equipment.
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.
Moving controls and turn valves to start compressor engines
This work happens in the physical world: controls, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Move controls and turn valves to start compressor engines, pumps, and auxiliary equipment.” (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: Starting engines and pumps by hand on the controls is physical work with nothing for software to produce.
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.
Operating power-driven pumps that transfer liquids
This work happens in the physical world: power-driven pumps, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Operate power-driven pumps that transfer liquids, semi-liquids, gases, or powdered materials.” (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: Running pumps that move gas and liquids is hands-on plant work, not something produced at a screen.
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.
Responding to problems by adjusting control room equipment or instructing other personnel to adjust equipment at problem locations or in other control areas
This work happens in the physical world: problems, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Respond to problems by adjusting control room equipment or instructing other personnel to adjust equipment at problem locations or in other control areas.” (O*NET task statement)
How this row was scored
Exposure score: 19 out of 100 (12–26 allowing for uncertainty): minimal 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: Reacting to a plant problem means judging what to change and telling people on the ground what to do.
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 2/4.
Turning knobs or switches to regulate pressures
This work happens in the physical world: knobs, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Turn knobs or switches to regulate pressures.” (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: Turning knobs and switches needs hands on the controls.
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.
Cleaning lubricate and adjusting equipment and replacing filters and gaskets, using hand tools
This work happens in the physical world: lubricate, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Clean, lubricate, and adjust equipment, and replace filters and gaskets, using hand tools.” (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: Cleaning, lubricating and swapping filters and gaskets is hand-tool work that has to happen at the machine.
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 1/4.
Maintaining each station by performing general housekeeping duties
This work happens in the physical world: each station, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Maintain each station by performing general housekeeping duties such as painting, washing, and cleaning.” (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: Painting, washing and cleaning the station is physical work that only a person on site can do.
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 1/4.
Show the other 3 tasks
Reading gas meters and maintaining records of the amounts of gas received and dispensed from holders
staying humanThis work happens in the physical world: gas meters, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Read gas meters, and maintain records of the amounts of gas received and dispensed from holders.” (O*NET 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; work that happens in the physical world.
The rating behind it: Recording volumes received and dispensed is routine data work, but meters at the station still get read in person.
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 3/4.
Taking samples of gases and conducting chemical tests to determine gas quality and sulfur or moisture content
staying humanThis work happens in the physical world: samples of gases, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Take samples of gases and conduct chemical tests to determine gas quality and sulfur or moisture content, or send samples to laboratories for analysis.” (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: Taking gas samples and running tests means handling equipment and containers on site.
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.
Connecting pipelines between pumps and containers
staying humanThis work happens in the physical world: pipelines, in a real place. Software cannot follow it there.
importance 3 · CoreSource: “Connect pipelines between pumps and containers that are being filled or emptied.” (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: Connecting pipelines between pumps and containers is hands-on work at the pipe.
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 1/4.
What this job pays, and how many people do it
- Median pay
- $77,320a 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
- 3,510in 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: instrument readings in, a record out. The rows above are exactly that shape: submitting daily reports on facility operations and recording instrument readings and operational changes in operating logs. What it cannot do is be there in the room, and that is still where controls 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: moving controls and turn valves to start compressor engines is the middle of this job, and the evidence on this page says it stays with a person.
So, given all that: 17% of this job's task weight sits in rows the software is already learning, 0% in rows that change shape rather than disappear, and 83% 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. Submitting daily reports on facility operations 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 instrument readings, 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 controls 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 monitoring meters and pressure gauges to determine consumption rate variations. 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 gas compressor and gas pumping station operators (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was pump operators, except wellhead pumpers: only about 10% of its durable work is work you already do and it pays 20.1% less. And on the numbers you do not need one. This job scores 22/100 here, with only 17% of the task list in the top band, and “monitor meters and pressure gauges to determine consumption rate variations, temperatures, and…” 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.
Pump Operators, Except Wellhead Pumpers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already operate power-driven pumps that transfer liquids, semi-liquids, gases, or powdered materials, and their equivalent is to turn valves and start pumps to start or regulate flows of substances. Across both published task lists that is about 10% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 10% 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: $61,770 against your $77,320, 20.1% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Stationary Engineers and Boiler Operators
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already clean, lubricate, and adjust equipment, and replace filters and gaskets, using hand tools, and their equivalent is to clean and lubricate boilers and auxiliary equipment and make minor adjustments as needed…. 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.
Wellhead Pumpers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already move controls and turn valves to start compressor engines, pumps, and auxiliary equipment, and their equivalent is to start compressor engines and divert oil from storage tanks into compressor units and…. Across both published task lists that is about 6% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 6% of the durable side of that job. That is a different job, not a next step.
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: 17% 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 moving controls and turn valves to start compressor engines 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 Energy plant operatives 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 Energy plant operatives and Chemical and related process operatives. 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.
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Anywhere in the US:
An American Job Center will sit down with you for free. Find yours by ZIP code.
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Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
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Anywhere in the US:
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No Space for this job, but one for what is happening to it
Nothing Collab365 runs is built for gas compressor / gas pumping station operators, 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 17% of the work on this page is already inside what they can do.
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 gas compressor / gas pumping station operators. 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 gas compressor / gas pumping station operators launches. Nothing else.
That did not look like an email address, so nothing was saved. Have another go below.
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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 Gas Compressor and Gas Pumping Station Operators?
- Not as a job, but it is already doing parts of the work. Across the 13 official task statements scored for Gas Compressor and Gas Pumping Station Operators (United States, SOC 53-7071), 17% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 22 out of 100 (range 19–27, 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 “Gas Compressor and Gas Pumping Station Operators” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Submit daily reports on facility operations” (93/100, very high); “Record instrument readings and operational changes in operating logs” (69/100, high); “Monitor meters and pressure gauges to determine consumption rate variations, temperatures, and pressures” (38/100, low). 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 “Gas Compressor and Gas Pumping Station Operators” stay human?
- About 83% 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: “Maintain each station by performing general housekeeping duties such as painting, washing, and cleaning” (0/100, minimal); “Connect pipelines between pumps and containers that are being filled or emptied” (0/100, minimal); “Clean, lubricate, and adjust equipment, and replace filters and gaskets, using hand tools” (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 “Gas Compressor and Gas Pumping Station Operators” do about AI?
- Start from the ledger rather than the headline: 17% of this job's weighted core work is exposed, and roughly 83% 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 Gas Compressor and Gas Pumping Station Operators 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.
- 3 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
- 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 2026-08-05.
- 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.