US dataswitch to UK
Helpers--Installation, Maintenance, and Repair Workers
installing or replacing machinery, equipment and new or replacement parts and instruments, transferring tools, parts and adjusting, maintaining and repairing tools. If that's your week, this page is about your job.
The honest answer
AI changes the edges of this job, not the middle: examining and testing machinery, equipment, components and parts for defects to ensure proper functioning is work software can't reach.
What shifts is ordering new parts to maintain inventory. This page scores what today's tools actually do, not headlines.
Your week, as this page understands it
Help installation, maintenance, and repair workers in maintenance, parts replacement, and repair of vehicles, industrial machinery, and electrical and electronic equipment. Perform duties such as furnishing tools, materials, and supplies to other workers; cleaning work area, machines, and tools; and holding materials or tools for other workers. The job title says “helpers--installation”, “maintenance” or “repair workers”: officially one job, several names. The real job is the part underneath: examining and testing machinery, equipment, components and parts for defects to ensure proper functioning. 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--installation, maintenance, and repair workers is not one task. It is 16 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is examining and testing machinery, equipment, components and parts for defects to ensure proper functioning, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 5%
- changing shape
- 0%
- staying human
- 95%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 5 out of 100 (4–9 allowing for uncertainty): minimal exposure, across 16 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--installation, maintenance, and repair workers 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
1 taskTasks 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.
Ordering new parts to maintain inventory
This is reading one thing and writing another: new parts in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Order new parts to maintain inventory.” (O*NET task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reordering parts against stock levels is routine ordering that inventory software already does.
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.
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.
Examining and testing machinery, equipment, components and parts for defects to ensure proper functioning
This work happens in the physical world: machinery, equipment, components and parts, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Examine and test machinery, equipment, components, and parts for defects to ensure proper functioning.” (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: Examining and testing parts for faults means handling the equipment.
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.
Installing or replacing machinery, equipment and new or replacement parts and instruments, using hand or power tools
This work happens in the physical world: machinery, equipment and new or replacement parts, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Install or replace machinery, equipment, and new or replacement parts and instruments, using hand or power 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: Fitting machinery and replacement parts is hands-on 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 2/4.
Tending and observing equipment and machinery to verify efficient and safe operation
This work happens in the physical world: equipment, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Tend and observe equipment and machinery to verify efficient and safe operation.” (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: Tending machinery and watching it run safely means being 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 2/4.
Adjusting, connecting or disconnect wiring, piping, tubing and other parts, using hand or power tools
This work happens in the physical world: disconnect wiring, piping, tubing and other parts, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Adjust, connect, or disconnect wiring, piping, tubing, and other parts, using hand or power 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: Connecting and disconnecting wiring, piping and tubing is handwork.
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 or lubricating vehicles, machinery, equipment, instruments, tools, work areas and other objects
This work happens in the physical world: vehicles, machinery, equipment, instruments, tools, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Clean or lubricate vehicles, machinery, equipment, instruments, tools, work areas, and other objects, using hand tools, power tools, and cleaning 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: Cleaning and lubricating machinery and work areas 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.
Disassembling broken or defective equipment to facilitate repair and reassemble equipment when repairs are complete
This work happens in the physical world: broken, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Disassemble broken or defective equipment to facilitate repair and reassemble equipment when repairs are complete.” (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: Stripping down and rebuilding equipment is handwork 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 2/4.
Transferring tools, parts, equipment and supplies to and from work stations and other areas
This work happens in the physical world: tools, parts, equipment and supplies, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Transfer tools, parts, equipment, and supplies to and from work stations and other areas.” (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 tools and parts between work stations 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.
Holding or supplying tools, parts, equipment and supplies for other workers
This work happens in the physical world: tools, parts, equipment and supplies, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Hold or supply tools, parts, equipment, and supplies for other workers.” (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: Handing tools and parts to another worker is pure physical assistance.
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.
Positioning vehicles, machinery, equipment, physical structures and other objects for assembly or installation
This work happens in the physical world: vehicles, machinery, equipment, physical structures and other objects, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Position vehicles, machinery, equipment, physical structures, and other objects for assembly or installation, using hand tools, power tools, and moving 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: Moving and positioning heavy items for assembly 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.
Show the other 6 tasks
Diagnosing electrical problems and installing and rewire electrical components
staying humanThis work happens in the physical world: electrical problems, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Diagnose electrical problems and install and rewire electrical components.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 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: Fault symptoms can be looked up, but installing and rewiring components is hands-on electrical work.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Designing, welding and fabricate parts, using blueprints or other mechanical plans
staying humanThis work happens in the physical world: fabricate parts, in a real place. Software cannot follow it there.
importance 3 · CoreSource: “Design, weld, and fabricate parts, using blueprints or other mechanical plans.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Drawings can be produced from plans, but welding and fabricating a part is handwork.
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.
Applying protective materials
staying humanThis work happens in the physical world: protective materials, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Apply protective materials to equipment, components, and parts to prevent defects and corrosion.” (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 protective coatings to parts is physical work on the item.
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.
Assembling and maintaining physical structures
staying humanThis work happens in the physical world: physical structures, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Assemble and maintain physical structures, using hand or power 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: Assembling and maintaining structures is done with hand and power 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 2/4.
Preparing work stations for use by mechanics and repairers
staying humanThis work happens in the physical world: work stations, in a real place. Software cannot follow it there.
importance 3 · SupplementalSource: “Prepare work stations for use by mechanics and repairers.” (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: Setting up a work station for mechanics is physical preparation of the space.
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.
Adjusting, maintaining and repairing tools, equipment and machines and assisting more skilled workers with similar tasks
staying humanThis work happens in the physical world: tools, equipment and machines and assisting, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Adjust, maintain, and repair tools, equipment, and machines, and assist more skilled workers with similar tasks.” (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: Adjusting and repairing tools and machines alongside skilled workers is hands-on.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
What this job pays, and how many people do it
- Median pay
- $39,630a 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
- 95,580in 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: new parts in, a record out. The rows above are exactly that shape: ordering new parts to maintain inventory. What it cannot do is be there in the room, and that is still where machinery, equipment, components and parts 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: examining and testing machinery, equipment, components and parts for defects to ensure proper functioning is the middle of this job, and the evidence on this page says it stays with a person.
So, given all that: 5% of this job's task weight sits in rows the software is already learning, 0% in rows that change shape rather than disappear, and 95% in rows it is nowhere near. That is the position, measured across 16 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. Ordering new parts to maintain inventory 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 new parts, 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 machinery, equipment, components and parts 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 examining and testing machinery, equipment, components and parts for defects to ensure proper functioning. 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--installation, maintenance, and repair workers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was industrial machinery mechanics: only about 18% of its durable work is work you already do. And on the numbers you do not need one. This job scores 5/100 here, with only 5% of the task list in the top band, and “examine and test machinery, equipment, components, and parts for defects to ensure…” 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.
Industrial Machinery Mechanics
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already clean or lubricate vehicles, machinery, equipment, instruments, tools, work areas, and other objects…, and their equivalent is to clean, lubricate, or adjust parts, equipment, or machinery. Across both published task lists that is about 18% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 18% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Computer, Automated Teller, and Office Machine Repairers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already install or replace machinery, equipment, and new or replacement parts and instruments, using…, and their equivalent is to repair, adjust, or replace electrical or mechanical components or parts, using hand tools…. 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.
Grinding and Polishing Workers, Hand
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already transfer tools, parts, equipment, and supplies to and from work stations and other…, and their equivalent is to transfer equipment, objects, or parts to specified work areas, using moving devices. 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. And it is a narrow door: about 10,510 of those jobs against 95,580 of yours (OEWS May 2025), 11% 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: 5% of its task weight, across 16 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 examining and testing machinery, equipment, components and parts for defects to ensure proper functioning 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 Bar staff 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 Bar staff and Construction operatives n.e.c.. 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
No Space for this job, but one for what is happening to it
Nothing Collab365 runs is built for helpers--installation / maintenance / repair workers, 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 5% 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 helpers--installation / maintenance / repair workers. 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 helpers--installation / maintenance / repair workers 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--Installation, Maintenance, and Repair Workers?
- Not as a job, but it is already doing parts of the work. Across the 16 official task statements scored for Helpers--Installation, Maintenance, and Repair Workers (United States, SOC 49-9098), 5% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 5 out of 100 (range 4–9, 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--Installation, Maintenance, and Repair Workers” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Order new parts to maintain inventory” (69/100, high); “Diagnose electrical problems and install and rewire electrical components” (13/100, minimal); “Design, weld, and fabricate parts, using blueprints or other mechanical plans” (10/100, 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--Installation, Maintenance, and Repair Workers” stay human?
- About 95% 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: “Adjust, maintain, and repair tools, equipment, and machines, and assist more skilled workers with similar tasks” (0/100, minimal); “Prepare work stations for use by mechanics and repairers” (0/100, minimal); “Hold or supply tools, parts, equipment, and supplies for other workers” (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--Installation, Maintenance, and Repair Workers” do about AI?
- Start from the ledger rather than the headline: 5% of this job's weighted core work is exposed, and roughly 95% 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--Installation, Maintenance, and Repair Workers 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 16 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.
