Will AI replace School midday and crossing patrol occupations?

Not as a job, but it is already doing parts of the work. Across the 23 official task statements scored for School midday and crossing patrol occupations (United Kingdom, SOC 9232), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 10 out of 100 (range 7–15, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

Which tasks in “School midday and crossing patrol occupations” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Document accidents or incidents occurring on duty for safety and compliance records” (49/100, partial); “Report to a line manager or the police when vehicles disobey the patrol” (32/100, low); “Report unsafe behaviour of children to school officials” (28/100, low). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.

Which tasks in “School midday and crossing patrol occupations” stay human?

About 96% 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: “Stop speeding vehicles to warn drivers of traffic regulations” (0/100, minimal); “Warn of hazards using signs, flags, lanterns, and hand signals” (0/100, minimal); “Distribute traffic management signs and markers at designated points” (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 “School midday and crossing patrol occupations” do about AI?

Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 96% 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 School midday and crossing patrol occupations 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 23 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

School midday and crossing patrol occupations

assisting pedestrians in safely crossing roads, comforting children who are upset and monitoring traffic flow to locate safe gaps through which pedestrians can cross roads. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: assisting pedestrians in safely crossing roads 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: 4%
staying human: 96%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 10 out of 100 (7–15 allowing for uncertainty): minimal exposure, across 23 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 school midday and crossing patrol occupations 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 documenting accidents or incidents occurring on duty for safety and compliance records. This page scores what today's tools actually do, not headlines.

Your week, as this page understands it

School midday and crossing patrol occupations supervise the activities of school children during break and meal times and assist children to cross roads in the vicinity of schools. The job title says “school midday” or “crossing patrol occupations”: officially one job, two names. The real job is the part underneath: assisting pedestrians in safely crossing roads. 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 school midday and crossing patrol occupations is not one task. It is 23 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is assisting pedestrians in safely crossing roads, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 0%
changing shape: 4%
staying human: 96%

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.

2 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

1 task

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.

Documenting accidents or incidents occurring on duty for safety and compliance records
The software now makes the first pass at accidents, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 75 · 9232/00
Source: “Document accidents or incidents occurring on duty for safety and compliance records.” (UK task statement)
How this row was scored
Exposure score: 49 out of 100 (42–56 allowing for uncertainty): partial 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: Incident reports follow a standard format software drafts well once someone describes what happened.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Staying human

22 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.

Assisting pedestrians in safely crossing roads
This work happens in the physical world: pedestrians, in a real place. Software cannot follow it there.
importance 95 · 9232/00
Source: “Assist pedestrians in safely crossing roads, stopping traffic when needed.” (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: Stopping traffic and walking children across the road requires a person standing there.
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.
Helping children and adults to cross the road safely
This work happens in the physical world: children, in a real place. Software cannot follow it there.
importance 95 · 9232/00
Source: “Help children and adults to cross the road safely.” (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; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Stepping into the road to stop traffic is physical, and only an authorised patrol officer has the legal power to do it.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 2/4 · how much data exists 1/4.
Using a school crossing patrol sign
This work happens in the physical world: a school crossing patrol sign, in a real place. Software cannot follow it there.
importance 95 · 9232/00
Source: “Use a school crossing patrol sign (lollipop) to give clear signals to drivers and pedestrians.” (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: Holding out the patrol sign is physical presence in the road.
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.
Communicating traffic and crossing rules to pupils and adults
This work happens in the physical world: traffic, in a real place. Software cannot follow it there.
importance 90 · 9232/00
Source: “Communicate traffic and crossing rules to pupils and adults.” (UK task statement)
How this row was scored
Exposure score: 20 out of 100 (13–27 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: The explanation can be prepared, but teaching road rules to children happens face to face at the kerb.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Assisting children with cutting their food
This work happens in the physical world: children, in a real place. Software cannot follow it there.
importance 90 · 9232/00
Source: “Assist children with cutting their food when necessary.” (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: Cutting up a child's food is done with hands at the table.
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.
Supervising children's activities in a safe environment
This work happens in the physical world: children's activities, in a real place. Software cannot follow it there.
importance 90 · 9232/00
Source: “Supervise children's activities in a safe environment.” (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 value is that a specific person does it.
The rating behind it: Supervising children means an adult being present and watching.
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 2/4 · how much data exists 2/4.
Reporting to a line manager or the police when vehicles disobey the patrol
The ratings behind this row put a line manager well outside what today's tools can do on their own.
importance 85 · 9232/00
Source: “Report to a line manager or the police when vehicles disobey the patrol.” (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: mistakes that are cheap to catch.
The rating behind it: The report itself is quick paperwork, though the person has to be there to see it happen.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Comforting children who are upset
This work happens in the physical world: children who are upset, in a real place. Software cannot follow it there.
importance 85 · 9232/00
Source: “Comfort children who are upset.” (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 value is that a specific person does it.
The rating behind it: Comforting an upset child needs a person there with them.
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 3/4 · how much data exists 1/4.
Monitoring traffic flow to locate safe gaps through which pedestrians can cross roads
This work happens in the physical world: traffic flow, in a real place. Software cannot follow it there.
importance 85 · 9232/00
Source: “Monitor traffic flow to locate safe gaps through which pedestrians can cross roads.” (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: Judging a safe gap in traffic requires standing at the crossing watching it.
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.

Show the other 13 tasks

Reporting unsafe behaviour of children to school officials
staying human
The ratings behind this row put unsafe behaviour of children well outside what today's tools can do on their own.
importance 80 · 9232/00
Source: “Report unsafe behaviour of children to school officials.” (UK task statement)
How this row was scored
Exposure score: 28 out of 100 (21–35 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Writing the referral is simple, but spotting the behaviour and knowing the child needs the person on duty.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Organising indoor and outdoor games
staying human
This work happens in the physical world: indoor, in a real place. Software cannot follow it there.
importance 60 · 9232/00
Source: “Organise indoor and outdoor games.” (UK task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 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: Fixtures and formats can be planned on screen, but the games are set up and run on site.
The five ratings: output a model can produce 2/4 · 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.
Reporting vehicle defects, accidents, traffic offences or damage to vehicles
staying human
This work happens in the physical world: vehicle defects, accidents, traffic offences or damage, in a real place. Software cannot follow it there.
importance 60 · 9232/00
Source: “Report vehicle defects, accidents, traffic offences, or damage to vehicles.” (UK task statement)
How this row was scored
Exposure score: 22 out of 100 (15–29 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Writing up an incident is easy once you have the facts, but noticing the accident or faulty vehicle means being at the crossing.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Learning the location and purpose of road traffic signs within assigned patrol areas
staying human
This work happens in the physical world: the location, in a real place. Software cannot follow it there.
importance 80 · 9232/00
Source: “Learn the location and purpose of road traffic signs within assigned patrol areas.” (UK task statement)
How this row was scored
Exposure score: 20 out of 100 (13–27 allowing for uncertainty): low 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: Sign meanings are published, but learning a particular patrol area means walking it.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reporting any faults with the hazard lights
staying human
This work happens in the physical world: any faults, in a real place. Software cannot follow it there.
importance 75 · 9232/00
Source: “Report any faults with the hazard lights.” (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: Noticing a broken light means being out there and seeing it, even though reporting it is simple.
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.
Logging registration numbers of vehicles ignoring traffic signals
staying human
This work happens in the physical world: registration numbers of vehicles ignoring traffic signals, in a real place. Software cannot follow it there.
importance 65 · 9232/00
Source: “Log registration numbers of vehicles ignoring traffic signals.” (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: Reading number plates as vehicles pass requires someone watching the crossing.
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.
Recognizing and treating common minor injuries and ailments
staying human
This work happens in the physical world: common minor injuries, in a real place. Software cannot follow it there.
importance 70 · 9232/00
Source: “Recognize and treat common minor injuries and ailments.” (UK task statement)
How this row was scored
Exposure score: 5 out of 100 (0–12 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Putting a plaster on a grazed knee and calming the child needs someone physically there in the playground.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Teaching children good behaviour and table manners through structured activities
staying human
This work happens in the physical world: children good behaviour, in a real place. Software cannot follow it there.
importance 70 · 9232/00
Source: “Teach children good behaviour and table manners through structured activities.” (UK task statement)
How this row was scored
Exposure score: 4 out of 100 (0–8 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Children learn manners from an adult sitting with them, day after day.
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 3/4 · how much data exists 2/4.
Watching for car and lorry traffic at crossings to stay alert to potential hazards
staying human
This work happens in the physical world: car, in a real place. Software cannot follow it there.
importance 85 · 9232/00
Source: “Watch for car and lorry traffic at crossings to stay alert to potential hazards.” (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: Staying alert to approaching traffic requires being at the crossing.
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.
Directing traffic flow
staying human
This work happens in the physical world: traffic flow, in a real place. Software cannot follow it there.
importance 70 · 9232/00
Source: “Direct traffic flow.” (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: Directing traffic requires a person in the road.
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.
Distributing traffic management signs and markers at designated points
staying human
This work happens in the physical world: traffic management signs, in a real place. Software cannot follow it there.
importance 60 · 9232/00
Source: “Distribute traffic management signs and markers at designated points.” (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: Putting out signs and markers means carrying and placing them.
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.
Warning of hazards
staying human
This work happens in the physical world: hazards, in a real place. Software cannot follow it there.
importance 60 · 9232/00
Source: “Warn of hazards using signs, flags, lanterns, and hand signals.” (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: Signalling to drivers and pedestrians is done by a person in the road.
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.
Stopping speeding vehicles to warn drivers of traffic regulations
staying human
This work happens in the physical world: vehicles, in a real place. Software cannot follow it there.
importance 50 · 9232/00
Source: “Stop speeding vehicles to warn drivers of traffic regulations.” (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: Stopping a vehicle to speak to the driver requires being there.
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: £21,700a 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: 49,800in 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. Most of what is shifting here is reading one thing and writing another: accidents in, a record out. The rows above are exactly that shape: documenting accidents or incidents occurring on duty for safety and compliance records. What it cannot do is be there in the room, and that is still where pedestrians 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: assisting pedestrians in safely crossing roads 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, 4% in rows that change shape rather than disappear, and 96% in rows it is nowhere near. That is the position, measured across 23 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. Documenting accidents or incidents occurring on duty for safety and compliance records 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 accidents, 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 pedestrians 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 documenting accidents or incidents occurring on duty for safety and compliance records. 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, 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 UK occupations to school midday and crossing patrol occupations (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was rail transport operatives: only about 16% of its durable work is work you already do and the 2.6× pay gap is the market pricing a barrier. And on the numbers you do not need one. This job scores 10/100 here, with only 0% of the task list in the top band, and “assist pedestrians in safely crossing roads, stopping traffic when needed” 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 412 UK 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.

Rail transport operatives
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “direct traffic flow”. Across the whole of both lists that adds up to about 16% 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 16% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. The pay gap is the market pricing a barrier: £57,088 against your £21,678 is 2.63× (ASHE Table 14.7a, 2025 provisional (both)), and you would be crossing it holding about 16% of their durable work. A gap that size with an overlap that small is a wish, not a route.
Look at that job’s page anyway →
Childminders
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already supervise children's activities in a safe environment, and their equivalent is to provide a safe environment for children. 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.
Look at that job’s page anyway →
Nannies and au pairs
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already supervise children's activities in a safe environment, and their equivalent is to provide a safe environment for children. Across both published task lists that is about 7% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 7% of the durable side of that job. That is a different job, not a next step.
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 23 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 assisting pedestrians in safely crossing roads 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.

If you run a team doing this job

If you run a team doing this job, the conversation you owe them is the one on this page, and sooner than feels comfortable. Show them the ledger rather than a reassurance: the rows moving toward the software are documenting accidents or incidents occurring on duty for safety and compliance records, and the rows that are not are where you want your people visible. Ask each of them to do the this-week move and bring the list to your next one-to-one. It turns a rumour into a piece of work, and it tells you which parts of your team's week are actually at stake. And say the thing out loud that a team lead usually leaves unsaid: a shrinking team is your exposure too, so do the move yourself as well.

You are reading the United Kingdom figures

The United States splits this work across more than one official group, of which Teaching Assistants, Except Postsecondary 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 Teaching Assistants, Except Postsecondary. 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.

Noted, and thank you. We’ll email you if a Space for school midday / crossing patrol occupations 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 school midday / crossing patrol occupations 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 school midday / crossing patrol occupations 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 school midday / crossing patrol occupations 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 School midday and crossing patrol occupations?: Not as a job, but it is already doing parts of the work. Across the 23 official task statements scored for School midday and crossing patrol occupations (United Kingdom, SOC 9232), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 10 out of 100 (range 7–15, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “School midday and crossing patrol occupations” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Document accidents or incidents occurring on duty for safety and compliance records” (49/100, partial); “Report to a line manager or the police when vehicles disobey the patrol” (32/100, low); “Report unsafe behaviour of children to school officials” (28/100, low). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “School midday and crossing patrol occupations” stay human?: About 96% 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: “Stop speeding vehicles to warn drivers of traffic regulations” (0/100, minimal); “Warn of hazards using signs, flags, lanterns, and hand signals” (0/100, minimal); “Distribute traffic management signs and markers at designated points” (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 “School midday and crossing patrol occupations” do about AI?: Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 96% 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 School midday and crossing patrol occupations 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 23 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.
2 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.