US dataswitch to UK
Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters
mixing mortar, plaster and grout, modifying material moving, mixing, grouting, grinding, polishing or cleaning procedures, locating, and supplying materialsing to masons and arranging or storing materials, machines, tools or equipment. If that's your week, this page is about your job.
The honest answer
AI changes the edges of this job, not the middle: mixing mortar, plaster and grout, manually or using machines, according to standard formulas is work software can't reach.
What shifts is the routine end of the work: the overhead at the edges, not the middle you trained for.
Your week, as this page understands it
Help brickmasons, blockmasons, stonemasons, or tile and marble setters by performing duties requiring less skill. Duties include using, supplying, or holding materials or tools, and cleaning work area and equipment. The job title says “helpers--brickmasons”, “blockmasons”, “stonemasons”, “tile” or “marble setters”: officially one job, several names. The real job is the part underneath: mixing mortar, plaster and grout, manually or using machines, according to standard formulas. 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 helpers--brickmasons, blockmasons, stonemasons, and tile and marble setters 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 mixing mortar, plaster and grout, manually or using machines, according to standard formulas, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 0%
- changing shape
- 0%
- staying human
- 100%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 1 out of 100 (0–5 allowing for uncertainty): minimal 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 helpers--brickmasons, blockmasons, stonemasons, and tile and marble setters 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.
- 1 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
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
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
15 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.
Mixing mortar, plaster and grout, manually or using machines, according to standard formulas
This work happens in the physical world: mortar, plaster and grout, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Mix mortar, plaster, and grout, manually or using machines, according to standard formulas.” (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: Mixing mortar and grout is physical work 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 1/4.
Cutting materials to specified sizes
This work happens in the physical world: materials, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Cut materials to specified sizes for installation, using power saws or tile cutters.” (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: Cutting tile and stone to size is hands-on machine 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 1/4.
Erecting scaffolding or other installation structures
This work happens in the physical world: other installation structures, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Erect scaffolding or other installation structures.” (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: Putting up scaffolding 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 1/4.
Transporting materials, tools or machines to installation sites, manually or using conveyance equipment
This work happens in the physical world: materials, tools or machines, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Transport materials, tools, or machines to installation sites, manually or using conveyance 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: Carrying materials and machines to where they are needed 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 1/4.
Modifying material moving, mixing, grouting, grinding, polishing or cleaning procedures, according to installation or material requirements
This work happens in the physical world: material moving, mixing, grouting, grinding, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Modify material moving, mixing, grouting, grinding, polishing, or cleaning procedures, according to installation or material requirements.” (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: Deciding to change an approach comes from what the material is doing under your hands on site.
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.
Providing assistance in the preparation
This work happens in the physical world: assistance, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Provide assistance in the preparation, installation, repair, or rebuilding of tile, brick, or stone surfaces.” (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: Helping install and repair tile, brick and stone 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 1/4.
Arranging or storing materials, machines, tools or equipment
This work happens in the physical world: materials, machines, tools or equipment, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Arrange or store materials, machines, tools, or 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: Storing and arranging materials and tools 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 1/4.
Locating, and supplying materialsing to masons
This work happens in the physical world: masons, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Locate and supply materials to masons for installation, following drawings or numbered sequences.” (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: Finding the right materials and getting them to the mason is physical work 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.
Cleaning installation surfaces, equipment, tools, work sites or storage areas, using water, chemical solutions, oxygen lances or polishing machines
This work happens in the physical world: installation surfaces, equipment, tools, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Clean installation surfaces, equipment, tools, work sites, or storage areas, using water, chemical solutions, oxygen lances, or polishing machines.” (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 surfaces, tools and work sites 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 1/4.
Moving or positioning materials, marble slabs, using cranes, hoists or dollies
This work happens in the physical world: materials, marble slabs, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Move or position materials such as marble slabs, using cranes, hoists, or dollies.” (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: Moving marble slabs with hoists and dollies is heavy 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 1/4.
Show the other 5 tasks
Applying grout between joints of bricks or tiles
staying humanThis work happens in the physical world: grout, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Apply grout between joints of bricks or tiles, using grouting trowels.” (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: Applying grout with a trowel is hand 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 1/4.
Correcting surface imperfections or filling
staying humanThis work happens in the physical world: surface imperfections, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Correct surface imperfections or fill chipped, cracked, or broken bricks or tiles, using fillers, adhesives, or grouting 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: Filling chips and cracks in brick and tile is careful hand 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 1/4.
Removing excess grout or residue from tile or brick joints
staying humanThis work happens in the physical world: excess grout, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Remove excess grout or residue from tile or brick joints, using sponges or trowels.” (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: Sponging excess grout off joints is done by hand at the tiles.
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.
Removing damaged tile, brick or mortar and cleaning or preparing surfaces, using pliers, hammers, chisels, drills, wire brushes or metal wire anchors
staying humanThis work happens in the physical world: damaged tile, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Remove damaged tile, brick, or mortar, and clean or prepare surfaces, using pliers, hammers, chisels, drills, wire brushes, or metal wire anchors.” (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: Chipping out damaged tile and preparing surfaces is physical work with tools.
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.
Applying caulk, sealants or other agents to installed surfaces
staying humanThis work happens in the physical world: caulk, sealants or other agents, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Apply caulk, sealants, or other agents to installed surfaces.” (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 a bead of caulk or sealant is hand 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 1/4.
What this job pays, and how many people do it
- Median pay
- $47,550a 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
- 14,170in 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. Almost none of this job is reading one thing and writing another (the shape today's tools are built for), because the work turns on mortar, plaster and grout, which happens with people and things rather than on a screen. The rows above are the evidence rather than the reassurance: mixing mortar, plaster and grout and cutting materials to specified sizes. The parts that are changing are the paperwork and the tools around the job, not the middle of it, 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: mixing mortar, plaster and grout, manually or using machines, according to standard formulas 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, 0% in rows that change shape rather than disappear, and 100% 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. The routine end of the work 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 routine work, 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 mortar, plaster and grout 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 mixing mortar, plaster and grout, manually or using machines, according to standard formulas. 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 helpers--brickmasons, blockmasons, stonemasons, and tile and marble setters (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was brickmasons and blockmasons: only about 10% of its durable work is work you already do. And on the numbers you do not need one. This job scores 1/100 here, with only 0% of the task list in the top band, and “mix mortar, plaster, and grout, manually or using machines, according to standard…” 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.
Brickmasons and Blockmasons
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already remove damaged tile, brick, or mortar, and clean or prepare surfaces, using pliers…, and their equivalent is to clean working surface to remove scale, dust, soot, or chips of brick and…. 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.
Helpers--Painters, Paperhangers, Plasterers, and Stucco Masons
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “erect scaffolding or other installation structures”. Across the whole of both lists that adds up to about 9% of the work in that job the software is not taking.
Why I am not recommending it: Almost none of it is work you already do: about 9% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $40,470 against your $47,550, 14.9% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Terrazzo Workers and Finishers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already modify material moving, mixing, grouting, grinding, polishing, or cleaning procedures, according to installation…, and their equivalent is to modify mixing, grouting, grinding, or cleaning procedures, according to type of installation or…. Across both published task lists that is about 8% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 8% of the durable side of that job. That is a different job, not a next step. And it is a narrow door: about 1,180 of those jobs against 14,170 of yours (OEWS May 2025), 8% as many seats.
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 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 mixing mortar, plaster and grout, manually or using machines, according to standard formulas 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 Elementary construction occupations n.e.c. 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 Elementary construction occupations n.e.c. and Bricklayers. 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 helpers--brickmasons / blockmasons / stonemasons / tile / marble setters 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 Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters?
- Not as a job, but it is already doing parts of the work. Across the 15 official task statements scored for Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters (United States, SOC 47-3011), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 1 out of 100 (range 0–5, 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 “Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Modify material moving, mixing, grouting, grinding, polishing, or cleaning procedures, according to installation or material requirements” (8/100, minimal); “Cut materials to specified sizes for installation, using power saws or tile cutters” (0/100, minimal); “Erect scaffolding or other installation structures” (0/100, 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 “Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters” stay human?
- About 100% 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: “Apply caulk, sealants, or other agents to installed surfaces” (0/100, minimal); “Arrange or store materials, machines, tools, or equipment” (0/100, minimal); “Remove damaged tile, brick, or mortar, and clean or prepare surfaces, using pliers, hammers, chisels, drills, wire brushes, or metal wire anchors” (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 “Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters” do about AI?
- Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 100% 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 Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters 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
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.
- 1 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.