Will AI replace Tire Repairers and Changers?

Not as a job, but it is already doing parts of the work. Across the 24 official task statements scored for Tire Repairers and Changers (United States, SOC 49-3093), 3% 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 2–7, 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 “Tire Repairers and Changers” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Order replacements for tires or tubes” (64/100, high); “Identify tire size and ply and inflate tires accordingly” (10/100, minimal); “Inspect tire casings for defects, such as holes or tears” (8/100, 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 “Tire Repairers and Changers” stay human?

About 97% 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: “Clean and tidy up the shop” (0/100, minimal); “Assist mechanics and perform various mechanical duties, such as changing oil or checking and replacing batteries” (0/100, minimal); “Unbolt and remove wheels from vehicles, using lug wrenches or other hand or power tools” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.

What should someone working in “Tire Repairers and Changers” do about AI?

Start from the ledger rather than the headline: 3% of this job's weighted core work is exposed, and roughly 97% 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 Tire Repairers and Changers 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.

US dataswitch to UK

Tire Repairers and Changers

raising vehicles, using hydraulic jacks, sealing punctures in tubeless tires by inserting adhesive material and expanding rubber plugs into punctures and inspecting tire casings. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: raising vehicles, using hydraulic jacks 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: 3%
changing shape: 0%
staying human: 97%

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

Whole-job exposure score 3 out of 100 (2–7 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 tire repairers and changers 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 ordering replacements for tires or tubes. This page scores what today's tools actually do, not headlines.

Your week, as this page understands it

Repair and replace tires. The job title says “tire repairers” or “changers”: officially one job, two names. The real job is the part underneath: raising vehicles, using hydraulic jacks. 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 tire repairers and changers 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 raising vehicles, using hydraulic jacks, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 3%
changing shape: 0%
staying human: 97%

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.

5 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

1 task

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.

Ordering replacements for tires or tubes
This is reading one thing and writing another: replacements in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Order replacements for tires or tubes.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Ordering stock is catalogue and paperwork, the kind of task ordering systems already handle with little help.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

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

23 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.

Raising vehicles, using hydraulic jacks
This work happens in the physical world: vehicles, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Raise vehicles, using hydraulic jacks.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Lifting a vehicle on a jack is hands-on work no software can take over.
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.
Remounting wheels onto vehicles
This work happens in the physical world: wheels, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Remount wheels onto vehicles.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Lifting a wheel back onto the hub and torquing it 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.
Unbolting and removing wheels from vehicles
This work happens in the physical world: wheels, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Unbolt and remove wheels from vehicles, using lug wrenches or other hand or power tools.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Taking wheels off a vehicle is physical work with a wrench in 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.
Identifying tire size and ply and inflate tires accordingly
This work happens in the physical world: tire size, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Identify tire size and ply and inflate tires accordingly.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Pressures and sizes are published, but reading the tire and inflating it happens with hands on the wheel.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Placing wheels on balancing machines to determine counterweights required to balance wheels
This work happens in the physical world: wheels, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Place wheels on balancing machines to determine counterweights required to balance wheels.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Lifting a wheel onto a balancing machine is a physical job on the shop floor.
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.
Replacing valve stems and removing puncturing objects
This work happens in the physical world: valve stems, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Replace valve stems and remove puncturing objects.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Pulling nails out and swapping valve stems is hands-on repair 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.
Reassembling tires onto wheels
This work happens in the physical world: tires, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Reassemble tires onto wheels.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Refitting a tire onto a wheel needs strength, tools and a person present.
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.
Hammering required counterweights onto rims of wheels
This work happens in the physical world: required counterweights, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Hammer required counterweights onto rims of wheels.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Hammering weights onto a rim is physical work at 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 1/4.
Locating punctures in tubeless tires by visual inspection or by immersing inflated tires in water baths and observing air bubbles
This work happens in the physical world: punctures, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Locate punctures in tubeless tires by visual inspection or by immersing inflated tires in water baths and observing air bubbles.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Dunking a tire in water and watching for bubbles is entirely hands-on.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

Show the other 14 tasks

Inspecting tire casings
staying human
This work happens in the physical world: tire casings, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect tire casings for defects, such as holes or tears.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (1–15 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Software can spot damage in a photo, but checking a casing means handling and turning the tire.
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.
Rotating tires to different positions on vehicles
staying human
This work happens in the physical world: tires, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Rotate tires to different positions on vehicles, using hand tools.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Moving tires around a car with hand tools is physical work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Sealing punctures in tubeless tires by inserting adhesive material and expanding rubber plugs into punctures
staying human
This work happens in the physical world: punctures, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Seal punctures in tubeless tires by inserting adhesive material and expanding rubber plugs into punctures, using hand tools.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Plugging a puncture is done by hand with tools on the tire 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.
Gluing tire patches over ruptures in tire casings
staying human
This work happens in the physical world: tire patches over ruptures, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Glue tire patches over ruptures in tire casings, using rubber cement.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Gluing a patch onto a casing is manual repair work at the bench.
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.
Separating tubed tires from wheels
staying human
This work happens in the physical world: tubed tires, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Separate tubed tires from wheels, using rubber mallets and metal bars or mechanical tire changers.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Breaking a tire off a wheel takes mallets, bars and physical effort.
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.
Patching tubes with adhesive rubber patches or sealing rubber patches
staying human
This work happens in the physical world: tubes, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Patch tubes with adhesive rubber patches or seal rubber patches to tubes, using hot vulcanizing plates.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Patching and vulcanizing tubes is manual work with hot plates and adhesives.
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.
Inflating inner tubes and immerse them in water to locate leaks
staying human
This work happens in the physical world: inner tubes, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inflate inner tubes and immerse them in water to locate leaks.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Inflating tubes and dipping them in water is hands-on leak testing.
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 sides of whitewall tires
staying human
This work happens in the physical world: sides of whitewall tires, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Clean sides of whitewall tires.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Cleaning whitewalls is manual work on the tire 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.
Applying rubber cement to buffed tire casings prior to vulcanization process
staying human
This work happens in the physical world: rubber cement, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Apply rubber cement to buffed tire casings prior to vulcanization process.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Brushing cement onto a casing is done by hand at the bench.
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.
Driving automobile or service trucks to industrial sites to provide services or responding to emergency calls
staying human
This work happens in the physical world: automobile, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Drive automobile or service trucks to industrial sites to provide services or respond to emergency calls.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Driving a service truck to a customer 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.
Preparing rims and wheel drums for reassembly
staying human
This work happens in the physical world: rims, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Prepare rims and wheel drums for reassembly by scraping, grinding, or sandblasting.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Cleaning up a rim is physical preparation 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.
Buffing defective areas of inner tubes
staying human
This work happens in the physical world: defective areas of inner tubes, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Buff defective areas of inner tubes, using scrapers.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Buffing rubber is done by hand with a tool.
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.
Assisting mechanics and performing various mechanical duties
staying human
This work happens in the physical world: mechanics, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Assist mechanics and perform various mechanical duties, such as changing oil or checking and replacing batteries.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Oil changes and battery swaps are physical jobs 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.
Cleaning and tidying up the shop
staying human
This work happens in the physical world: the shop, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Clean and tidy up the shop.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Sweeping and tidying a workshop 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.

What this job pays, and how many people do it

Median pay: $37,710a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
People doing this job: 108,410in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)

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

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: replacements in, a record out. The rows above are exactly that shape: ordering replacements for tires or tubes. What it cannot do is be there in the room, and that is still where vehicles 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: raising vehicles, using hydraulic jacks is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 3% of this job's task weight sits in rows the software is already learning, 0% in rows that change shape rather than disappear, and 97% 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. Ordering replacements for tires or tubes 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 replacements, 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 are in scope or not. Nothing to log into, no license needed.

Over the next 90 days

Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near raising vehicles, using hydraulic jacks. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.

Over the next 12 months

On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest US occupations to tire repairers and changers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was bicycle repairers: only about 6% of its durable work is work you already do and there are far fewer of those jobs than of yours. And on the numbers you do not need one. This job scores 3/100 here, with only 3% of the task list in the top band, and “raise vehicles, using hydraulic jacks” is not work that hands over cleanly. None of them beats deepening what you already have.

How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

Bicycle Repairers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already order replacements for tires or tubes, and their equivalent is to install new tires and tubes. Across both published task lists that is about 6% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 6% of the durable side of that job. That is a different job, not a next step. And it is a narrow door: about 12,170 of those jobs against 108,410 of yours (OEWS May 2025), 11% as many seats.
Look at that job’s page anyway →
Bus and Truck Mechanics and Diesel Engine Specialists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already raise vehicles, using hydraulic jacks, and their equivalent is to raise trucks, buses, and heavy parts or equipment using hydraulic jacks or hoists. Across both published task lists that is about 6% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 6% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Tire Builders
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already apply rubber cement to buffed tire casings prior to vulcanization process, and their equivalent is to build semi-raw rubber treads onto buffed tire casings to prepare tires for vulcanization…. Across both published task lists that is about 5% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step. And it is a narrow door: about 20,770 of those jobs against 108,410 of yours (OEWS May 2025), 19% as many seats.
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: 3% 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 raising vehicles, using hydraulic jacks arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Tyre, exhaust and windscreen fitters is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

The other groups this work is counted across:

In UK official statistics this job is counted as Tyre, exhaust and windscreen fitters, Vehicle technicians, mechanics and electricians and Vehicle body builders and repairers. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

Why there is no community here

Collab365, who build this site, run paid Spaces for a small number of subjects, and none of them is built for this job. We are not going to point you at the nearest one and call it a fit.

So the free services listed on this page are the whole answer, and it is the same answer we would give a friend.

Noted, and thank you. We’ll email you if a Space for tire repairers / changers 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 tire repairers / changers 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 tire repairers / changers 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 tire repairers / changers 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 Tire Repairers and Changers?: Not as a job, but it is already doing parts of the work. Across the 24 official task statements scored for Tire Repairers and Changers (United States, SOC 49-3093), 3% 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 2–7, 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 “Tire Repairers and Changers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Order replacements for tires or tubes” (64/100, high); “Identify tire size and ply and inflate tires accordingly” (10/100, minimal); “Inspect tire casings for defects, such as holes or tears” (8/100, 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 “Tire Repairers and Changers” stay human?: About 97% 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: “Clean and tidy up the shop” (0/100, minimal); “Assist mechanics and perform various mechanical duties, such as changing oil or checking and replacing batteries” (0/100, minimal); “Unbolt and remove wheels from vehicles, using lug wrenches or other hand or power tools” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Tire Repairers and Changers” do about AI?: Start from the ledger rather than the headline: 3% of this job's weighted core work is exposed, and roughly 97% 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 Tire Repairers and Changers 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

Worth knowing about these figures

The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
5 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-04.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

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

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

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

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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.