Will AI replace Vehicle valeters and cleaners?

Not as a job, but it is already doing parts of the work. Across the 24 official task statements scored for Vehicle valeters and cleaners (United Kingdom, SOC 9226), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 3 out of 100 (range 1–7, 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 “Vehicle valeters and cleaners” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Notify supervisors when machinery malfunctions” (32/100, low); “Follow manufacturer's instructions for using cleaning products safely” (14/100, minimal); “Deliver vehicles to customers or provide instructions for vehicle location” (12/100, 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 “Vehicle valeters and cleaners” 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: “Turn handles on equipment to regulate pressure or flow from sprayer nozzles” (0/100, minimal); “Lubricate and maintain equipment using hand tools” (0/100, minimal); “Transport materials and products to and from work areas using trolleys, handtrucks, or hoists” (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 “Vehicle valeters and cleaners” 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 Vehicle valeters and cleaners 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 24 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.

UK dataswitch to US

Vehicle valeters and cleaners

cleaning vehicles, machinery, equipment, instruments, tools, monitoring cleaning operations to detect malfunctions and ensure vehicle cleanliness and shoveling sweep or otherwise clean work areas. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: cleaning vehicles, machinery, equipment, instruments, tools, work areas and other objects using appropriate tools and equipment is work software can't reach.

Your move: what you can actually do about this ↓

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 3 out of 100 (1–7 allowing for uncertainty): minimal exposure, across 24 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 vehicle valeters and cleaners 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.

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

Vehicle valeters and cleaners clean, wash and polish the interiors and exteriors of ships, aircraft, trains and road vehicles. The job title says “vehicle valeters” or “cleaners”: officially one job, two names. The real job is the part underneath: cleaning vehicles, machinery, equipment, instruments, tools, work areas and other objects using appropriate tools and equipment. 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 vehicle valeters and cleaners is not one task. It is 24 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is cleaning vehicles, machinery, equipment, instruments, tools, work areas and other objects using appropriate tools and equipment, 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.

How we know this

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.

13 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 tasks

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

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 tasks

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

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

Staying human

24 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Cleaning vehicles, machinery, equipment, instruments, tools, work areas and other objects using appropriate tools and equipment
This work happens in the physical world: vehicles, machinery, equipment, instruments, tools, in a real place. Software cannot follow it there.
importance 90 · 9226/00
Source: “Clean vehicles, machinery, equipment, instruments, tools, work areas, and other objects using appropriate tools and equipment.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Cleaning equipment 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.
Washing and polishing exteriors of cars to enhance appearance
This work happens in the physical world: exteriors of cars, in a real place. Software cannot follow it there.
importance 90 · 9226/00
Source: “Wash and polish exteriors of cars to enhance appearance.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Washing and polishing a car is entirely hands-on work on the vehicle.
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 windows
This work happens in the physical world: windows, in a real place. Software cannot follow it there.
importance 85 · 9226/00
Source: “Clean windows.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Cleaning windows is hands-on work on the vehicle itself.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Shampooing upholstery and carpets
This work happens in the physical world: upholstery, in a real place. Software cannot follow it there.
importance 85 · 9226/00
Source: “Shampoo upholstery and carpets.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Shampooing upholstery and carpets is hands-on work with machinery.
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.
Waxing and polishing vehicle bodywork for cleanliness and shine
This work happens in the physical world: vehicle bodywork, in a real place. Software cannot follow it there.
importance 85 · 9226/00
Source: “Wax and polish vehicle bodywork for cleanliness and shine.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Waxing and polishing bodywork is physical work that has to be done by hand.
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.
Following manufacturer's instructions for using cleaning products safely
This work happens in the physical world: manufacturer's instructions, in a real place. Software cannot follow it there.
importance 80 · 9226/00
Source: “Follow manufacturer's instructions for using cleaning products safely.” (UK task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 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: Product safety instructions are well documented and easy to summarise, but following them happens while cleaning the vehicle.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Rinsing objects and placing them on drying racks
This work happens in the physical world: objects, in a real place. Software cannot follow it there.
importance 80 · 9226/00
Source: “Rinse objects and place them on drying racks.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Rinsing items and racking them to dry is entirely manual 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.
Using cloth, squeegees or air compressors to dry surfaces
This work happens in the physical world: cloth, squeegees or air compressors, in a real place. Software cannot follow it there.
importance 80 · 9226/00
Source: “Use cloth, squeegees, or air compressors to dry surfaces.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Drying surfaces by hand or with air lines is entirely 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.
Monitoring cleaning operations to detect malfunctions and ensure vehicle cleanliness
This work happens in the physical world: operations, in a real place. Software cannot follow it there.
importance 75 · 9226/00
Source: “Monitor cleaning operations to detect malfunctions and ensure vehicle cleanliness.” (UK 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: Judging whether a vehicle is properly clean means looking at it in person.
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.
Shoveling sweep or otherwise clean work areas
This work happens in the physical world: sweep, in a real place. Software cannot follow it there.
importance 75 · 9226/00
Source: “Shovel, sweep, or otherwise clean work areas.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Shovelling and sweeping is done with hands and tools in the workplace itself.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.

Show the other 14 tasks

Notifying supervisors when machinery malfunctions
staying human
This work happens in the physical world: supervisors, in a real place. Software cannot follow it there.
importance 50 · 9226/00
Source: “Notify supervisors when machinery malfunctions.” (UK task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Passing on a fault report is simple, but noticing the fault means being on the line.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Delivering vehicles to customers or providing instructions for vehicle location
staying human
This work happens in the physical world: vehicles, in a real place. Software cannot follow it there.
importance 50 · 9226/00
Source: “Deliver vehicles to customers or provide instructions for vehicle location.” (UK task statement)
How this row was scored
Exposure score: 12 out of 100 (5–19 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Telling a customer where their car is can be automated, but actually delivering the vehicle needs a driver.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Inspecting vehicles or equipment to ensure compliance with rules
staying human
This work happens in the physical world: vehicles, in a real place. Software cannot follow it there.
importance 70 · 9226/00
Source: “Inspect vehicles or equipment to ensure compliance with rules, standards, or regulations.” (UK 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: In a valeting role this is a visual check at handover rather than a legal test, so no licence applies, but someone must see the vehicle.
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 and parking vehicles on site
staying human
This work happens in the physical world: vehicles, in a real place. Software cannot follow it there.
importance 70 · 9226/00
Source: “Move and park vehicles on site.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Moving and parking vehicles requires someone in the driving seat.
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.
Steaming clean engines to remove dirt and grime
staying human
This work happens in the physical world: clean engines, in a real place. Software cannot follow it there.
importance 70 · 9226/00
Source: “Steam clean engines to remove dirt and grime.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Steam cleaning an engine bay is hands-on work with a lance and hot water.
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.
Steaming clean frames to maintain structural integrity
staying human
This work happens in the physical world: clean frames, in a real place. Software cannot follow it there.
importance 70 · 9226/00
Source: “Steam clean frames to maintain structural integrity.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Steam cleaning a vehicle frame is physical work done at the vehicle.
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.
Steaming clean wheel arches to prevent rust
staying human
This work happens in the physical world: clean wheel arches, in a real place. Software cannot follow it there.
importance 70 · 9226/00
Source: “Steam clean wheel arches to prevent rust.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Cleaning wheel arches by steam is hands-on work under the vehicle.
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.
Presoaking machine parts, equipment or vehicles in cleaning solutions or water
staying human
This work happens in the physical world: machine parts, equipment or vehicles, in a real place. Software cannot follow it there.
importance 65 · 9226/00
Source: “Pre-soak machine parts, equipment, or vehicles in cleaning solutions or water.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Soaking parts and equipment is hands-on work at the wash bay.
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.
Activating machinery and equipment by pressing control buttons
staying human
This work happens in the physical world: machinery, in a real place. Software cannot follow it there.
importance 60 · 9226/00
Source: “Activate machinery and equipment by pressing control buttons.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Pressing the controls to start machinery requires someone 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.
Driving vehicles equipped with tools and materials to job sites
staying human
This work happens in the physical world: vehicles, in a real place. Software cannot follow it there.
importance 60 · 9226/00
Source: “Drive vehicles equipped with tools and materials to job sites.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Driving tools and materials to site is physical work behind the wheel.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Mixing ingredients to create compounds for covering or cleaning surfaces
staying human
This work happens in the physical world: ingredients, in a real place. Software cannot follow it there.
importance 60 · 9226/00
Source: “Mix ingredients to create compounds for covering or cleaning surfaces.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Mixing surface compounds means handling and blending real materials 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.
Transporting materials and products to and from work areas
staying human
This work happens in the physical world: materials, in a real place. Software cannot follow it there.
importance 60 · 9226/00
Source: “Transport materials and products to and from work areas using trolleys, handtrucks, or hoists.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Moving materials around with trolleys and hoists is physical work in the plant.
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.
Lubricating and maintaining equipment using hand tools
staying human
This work happens in the physical world: equipment, in a real place. Software cannot follow it there.
importance 50 · 9226/00
Source: “Lubricate and maintain equipment using hand tools.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Greasing and servicing equipment by hand is physical work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Turning handles on equipment to regulate pressure or flow from sprayer nozzles
staying human
This work happens in the physical world: handles, in a real place. Software cannot follow it there.
importance 50 · 9226/00
Source: “Turn handles on equipment to regulate pressure or flow from sprayer nozzles.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Turning handles to set pressure and flow is done by hand at 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 1/4.

What this job pays, and how many people do it

Median pay: £26,600a year, before tax, the middle of the range, so half earn more and half earn less.ashe-t14, 2025 · ASHE 2025 provisional (reference April 2025)Provisional, because the ONS revises this figure in the autumn.
How we know this
Source: ashe-t14
Reference period: ASHE 2025 provisional (reference April 2025)
Rounding: Shown to the nearest £100. The exact published figure is in the downloadable dataset. We do not render pounds the survey cannot support.
People doing this job: 16,900in the UK, 2026.nomis-aps · Apr 2025-Mar 2026 (latest APS 12-month period)This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. 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 vehicles, machinery, equipment, instruments, tools, which happens with people and things rather than on a screen. The rows above are the evidence rather than the reassurance: cleaning vehicles, machinery, equipment, instruments, tools and washing and polishing exteriors of cars to enhance appearance. 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: cleaning vehicles, machinery, equipment, instruments, tools, work areas and other objects using appropriate tools and equipment 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 24 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 vehicles, machinery, equipment, instruments, tools are in scope or not. Nothing to log into, no licence needed.

Over the next 90 days

Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near cleaning vehicles, machinery, equipment, instruments, tools, work areas and other objects using appropriate tools and equipment. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.

Over the next 12 months

On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. Before you pay for anything, spend an hour with National Careers Service. It is free and government-funded, and it is listed below with the rest of the free routes.

The roads out of here

You did not come here for a career change and I am not selling you one. But one road out of here is worth knowing about, so here it is with the bill attached.

Vehicle valeters and cleanersIndustrial cleaning process occupations
a year or morematched on shared tasks
One of the tasks on your list is on theirs in the same words: “clean vehicles, machinery, equipment, instruments, tools, work areas, and other objects using appropriate tools and equipment”. Take both published task lists together and about 35% of the work in that job that the software is not taking is work you are doing today.
About 35% of it you could do on Monday. The rest is the price of the ticket.
The work the two jobs share
- You already do
  “Clean vehicles, machinery, equipment, instruments, tools, work areas, and other objects using appropriate tools and equipment.”
  They do
  “Clean vehicles, machinery, equipment, instruments, tools, work areas, and other objects using appropriate tools and equipment.”
- You already do
  “Shovel, sweep, or otherwise clean work areas.”
  They do
  “Shovel, sweep, or otherwise clean work areas.”
- You already do
  “Use cloth, squeegees, or air compressors to dry surfaces.”
  They do
  “Use cloth, squeegees, or air compressors to dry surfaces.”
What you would not already have: Nothing in your task list touches “clean machines or equipment to maintain their efficiency”, “apply specific cleaning and disinfection procedures to maintain hygiene standards” or “drain and clean machines or tanks at designated intervals”. That is the part you would be learning from scratch, and it is roughly the 65% of their durable work you do not already hold.
The honest bill
Pay: £27,300 against your £26,600 (ASHE Table 14.7a, 2025 provisional (both)).
- The licence gate: Default-closed. This release carries no licence-register snapshot, so I could not check whether that job is regulated, which means I have to assume it might be. Before you spend a penny, look it up on the GOV.UK register of regulated professions; the free routes below link straight to it. The route is banded a year or more because of that unknown, not in spite of it.
- The entry ticket: Typical entry-level education is published for only ten occupations in this release, and neither this job nor that one is among them. So I cannot tell you whether a qualification stands in the way. Treat that as an open question to settle before you commit, not as a green light.
- What the pay gap is telling you: £27,306 against your £26,598, 2.7% more (ASHE Table 14.7a, 2025 provisional (both)). A real difference, not a life-changing one. Take the move for the work, not the raise.
- What you live on meanwhile: Nobody is going to pay you to retrain. This is evenings and weekends alongside the job you already have, for a year or more, and if that is not possible right now then this route is not open right now, which is worth knowing before you start. The free, government-funded careers service listed below will talk the funding through with you before you pay anyone.
- Is the target job itself holding up: Industrial cleaning process occupations scores 2/100 on this site’s own exposure measure (minimal), with 0% of its tasks in the top band. Employment projections are not published for this occupation in this release, so this is the exposure leg of the check only. It passed, which is the only reason it is here.
How long: A year or more, part-time, alongside the job you have. That band is set by the unchecked licence question and by the 65% of their work you would be learning, not by any one course.
See what AI is doing to industrial cleaning process occupations

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.

Elementary cleaning occupations n.e.c.
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “clean vehicles, machinery, equipment, instruments, tools, work areas, and other objects using appropriate tools and equipment”. Across the whole of both lists that adds up to about 15% of the work in that job the software is not taking.
Why I am not recommending it: You would be starting most of it from nothing: about 15% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Look at that job’s page anyway →
Cleaners and domestics
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “shampoo upholstery and carpets”. 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.
Look at that job’s page anyway →
Caretakers
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “shampoo upholstery and carpets”. Across the whole of both lists that adds up to about 7% 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 7% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 0% of its task weight, across 24 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 cleaning vehicles, machinery, equipment, instruments, tools, work areas and other objects using appropriate tools and equipment arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United Kingdom figures

The United States splits this work across more than one official group, of which Cleaners of Vehicles and Equipment is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United States page →partial match

In US official statistics this job is counted as Cleaners of Vehicles and Equipment. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.

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.

In England:
National Careers Service
A free hour with a government-funded careers adviser is worth more than another evening of reading. In England that's the National Careers Service.
Free, government-funded
- Discover your skills and careers (the skills assessment)
In England:
National Careers Service - Find a course
Search what's actually running near you before you spend anything.
Free to search; individual courses vary
In England:
Free courses for jobs (Level 3 qualifications)
A free Level 3 qualification you already qualify for beats a paid course you don't need.
Free for eligible adults
In England:
Skills Bootcamps
Free, up to 16 weeks, and you get a job interview at the end. In England these are Skills Bootcamps - search what's running near you.
Free for eligible adults in England
- Skills Bootcamps - what they are and who can do them (DfE, Skills for Careers)
- Skills Bootcamps - JobHelp (DWP)
In Scotland:
My World of Work (Skills Development Scotland)
In Scotland it's My World of Work, from Skills Development Scotland.
Free, publicly funded
- Skills Development Scotland
In Wales:
Careers Wales
In Wales it's Careers Wales.
Free, Welsh Government-funded
In Northern Ireland:
Careers Service Northern Ireland
In Northern Ireland it's the Careers Service on nidirect.
Free, Department for the Economy-funded

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.

Nearby moves

The jobs above, as pages you can read the same way as this one. Your job shares its core work with these. That is what the match is, and it is all it is.

Industrial cleaning process occupations →About 35% of it you could do on Monday. The rest is the price of the ticket.

Noted, and thank you. We’ll email you if a Space for vehicle valeters / cleaners 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 Space for vehicle valeters / cleaners yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

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

Your email

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

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Vehicle valeters and cleaners?: Not as a job, but it is already doing parts of the work. Across the 24 official task statements scored for Vehicle valeters and cleaners (United Kingdom, SOC 9226), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 3 out of 100 (range 1–7, 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 “Vehicle valeters and cleaners” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Notify supervisors when machinery malfunctions” (32/100, low); “Follow manufacturer's instructions for using cleaning products safely” (14/100, minimal); “Deliver vehicles to customers or provide instructions for vehicle location” (12/100, 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 “Vehicle valeters and cleaners” 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: “Turn handles on equipment to regulate pressure or flow from sprayer nozzles” (0/100, minimal); “Lubricate and maintain equipment using hand tools” (0/100, minimal); “Transport materials and products to and from work areas using trolleys, handtrucks, or hoists” (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 “Vehicle valeters and cleaners” 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 Vehicle valeters and cleaners 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 24 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

About the data on this page

Provisional, because the ONS revises this figure in the autumn.
This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.
The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
13 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: gaisi-indexProcessing: catalogue-bridge → ssc-relatedness-weighting → task-scoring → score-aggregation
Task weights: gaisi-index (relatedness)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: ashe-t14 (ASHE 2025 provisional (reference April 2025))nomis-aps (Apr 2025-Mar 2026 (latest APS 12-month period))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

How we score a job Download this release Look up another job

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}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. 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.