Will AI replace Shuttle Drivers and Chauffeurs?

Not as a job, but it is already doing parts of the work. Across the 26 official task statements scored for Shuttle Drivers and Chauffeurs (United States, SOC 53-3053), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 15 out of 100 (range 11–21, 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 “Shuttle Drivers and Chauffeurs” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Arrange to pick up particular customers or groups on a regular schedule” (48/100, partial); “Record vehicle routes” (46/100, partial); “Prepare and submit reports that may include the number of passengers or trips, hours worked, mileage driven fuel consumed, or fares received” (38/100, 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 “Shuttle Drivers and Chauffeurs” stay human?

About 93% 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: “Vacuum and clean interiors, and wash and polish exteriors of automobiles” (0/100, minimal); “Test vehicle equipment, such as lights, brakes, horns, or windshield wipers, to ensure proper operation” (0/100, minimal); “Provide passengers with assistance entering and exiting vehicles, and help them with any luggage” (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 “Shuttle Drivers and Chauffeurs” do about AI?

Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 93% 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 Shuttle Drivers and Chauffeurs 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 26 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

Shuttle Drivers and Chauffeurs

testing vehicle equipment, such as lights, brakes, horns or windshield wipers, driving shuttle busses, limousines and preparing and submitting reports that may include the number of passengers or trips. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: testing vehicle equipment, such as lights, brakes, horns or windshield wipers, to ensure proper operation 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: 7%
staying human: 93%

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

Whole-job exposure score 15 out of 100 (11–21 allowing for uncertainty): minimal exposure, across 26 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 shuttle drivers and chauffeurs 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 arranging to pick up particular customers or groups on a regular schedule. This page scores what today's tools actually do, not headlines.

Your week, as this page understands it

Drive a motor vehicle to transport passengers on a planned or scheduled basis. May collect a fare. Includes nonemergency medical transporters and hearse drivers. The job title says “shuttle drivers” or “chauffeurs”: officially one job, two names. The real job is the part underneath: testing vehicle equipment, such as lights, brakes, horns or windshield wipers, to ensure proper operation. 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 shuttle drivers and chauffeurs is not one task. It is 26 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is testing vehicle equipment, such as lights, brakes, horns or windshield wipers, to ensure proper operation, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 0%
changing shape: 7%
staying human: 93%

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.

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

2 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.

Arranging to pick up particular customers or groups on a regular schedule
The software now makes the first pass at pick up particular customers, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Arrange to pick up particular customers or groups on a regular schedule.” (O*NET task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 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: Setting up a regular pick-up pattern is scheduling work software does well, with the customer confirming the arrangement.
The five ratings: output a model can produce 3/4 · 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 3/4.
Recording vehicle routes
The software now makes the first pass at vehicle routes, but part of it still happens in the physical world. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Record vehicle routes.” (O*NET task statement)
How this row was scored
Exposure score: 46 out of 100 (42–50 allowing for uncertainty): partial exposure, high 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: Route logging is done automatically by the tracking systems already fitted to vehicles.
The five ratings: output a model can produce 4/4 · 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.

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.

Testing vehicle equipment, such as lights, brakes, horns or windshield wipers, to ensure proper operation
This work happens in the physical world: vehicle equipment, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Test vehicle equipment, such as lights, brakes, horns, or windshield wipers, to ensure proper operation.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Testing lights, brakes, horns and wipers means physically operating and checking them 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.
Checking the condition of a vehicle's tires
This work happens in the physical world: the condition of a vehicle's tires, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Check the condition of a vehicle's tires, brakes, windshield wipers, lights, oil, fuel, water, and safety equipment to ensure that everything is in working order.” (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: Checking tyres, fluids and safety kit is a hands-on inspection of the vehicle before setting off.
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.
Complying with traffic regulations to operate vehicles in a safe and courteous manner
This work happens in the physical world: traffic regulations, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Comply with traffic regulations to operate vehicles in a safe and courteous manner.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–7 allowing for uncertainty): minimal exposure, high confidence, and it moved between repeat runs, so the range is widened.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Driving safely and lawfully is done by a licensed person 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 3/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Following relevant safety regulations and state laws governing vehicle operation
This work happens in the physical world: relevant safety regulations, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Follow relevant safety regulations and state laws governing vehicle operation, and ensure that passengers follow safety regulations.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–7 allowing for uncertainty): minimal exposure, high confidence, and it moved between repeat runs, so the range is widened.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Following road law and keeping passengers to safety rules happens inside the vehicle while it is being driven.
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 1/4 · how much data exists 2/4.
Reporting any vehicle malfunctions or needed repairs
This work happens in the physical world: any vehicle malfunctions, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Report any vehicle malfunctions or needed repairs.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 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: Spotting the fault needs someone in the vehicle; writing up the report itself is simple.
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 0/4 · how much data exists 3/4.
Driving shuttle busses, limousines, company cars or privately owned vehicles to transport passengers
This work happens in the physical world: shuttle busses, limousines, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Drive shuttle busses, limousines, company cars, or privately owned vehicles to transport passengers.” (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; someone qualified has to answer for it.
The rating behind it: Carrying passengers is physical work performed by a licensed driver in the vehicle.
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 1/4 · how much data exists 1/4.
Operating vehicles with specialized equipment
This work happens in the physical world: vehicles, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Operate vehicles with specialized equipment, such as wheelchair lifts, to transport and secure passengers with special needs.” (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; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Using a wheelchair lift and securing a passenger is physical work done beside that person.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 2/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Preparing and submitting reports that may include the number of passengers or trips
This work happens in the physical world: reports, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Prepare and submit reports that may include the number of passengers or trips, hours worked, mileage driven fuel consumed, or fares received.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 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: Trip sheets covering passengers, hours, mileage and fuel are standard forms software fills in from logged data.
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 0/4 · how much data exists 3/4.

Show the other 16 tasks

Providing passengers with information or advice about the local area
staying human
This work happens in the physical world: passengers, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Provide passengers with information or advice about the local area, points of interest, hotels, or restaurants.” (O*NET task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 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: Local recommendations are exactly what map and review services already provide, though passengers often prefer asking the driver.
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 4/4.
Completing accident reports
staying human
This work happens in the physical world: accident reports, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Complete accident reports when necessary.” (O*NET task statement)
How this row was scored
Exposure score: 33 out of 100 (26–40 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: Accident forms follow a set format software can complete, but the account must come from the person who was there.
The five ratings: output a model can produce 3/4 · 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 3/4.
Communicating with dispatchers
staying human
This work happens in the physical world: dispatchers, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Communicate with dispatchers by radio, telephone, or computer to exchange information and receive requests for passenger service.” (O*NET 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: Exchanging job details with dispatch is routine messaging already handled by apps, though the driver is at the wheel.
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.
Notifying dispatchers or company mechanics of vehicle problems
staying human
This work happens in the physical world: dispatchers, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Notify dispatchers or company mechanics of vehicle problems.” (O*NET 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 a fault to dispatch or the garage is quick messaging, though spotting it means being with the vehicle.
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.
Reporting delays, accidents or other traffic and transportation situations, using telephones or mobile two-way radios
staying human
This work happens in the physical world: delays, accidents or other traffic and transportation situations, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Report delays, accidents, or other traffic and transportation situations, using telephones or mobile two-way radios.” (O*NET 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: Reporting a delay or accident is a short message, but the driver on the spot is the one who sees what happened.
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.
Reading maps and following written and verbal geographic directions
staying human
This work happens in the physical world: maps, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Read maps and follow written and verbal geographic directions.” (O*NET task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 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: Map reading itself is well handled by navigation software, but following the directions means actually driving the route.
The five ratings: output a model can produce 3/4 · 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 4/4.
Maintaining knowledge of first-aid procedures
staying human
This work happens in the physical world: knowledge of first-aid procedures, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Maintain knowledge of first-aid procedures.” (O*NET task statement)
How this row was scored
Exposure score: 16 out of 100 (9–23 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: First-aid guidance is widely published, though the point of knowing it is to use your hands when someone is hurt.
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 4/4.
Collecting fares or vouchers from passengers
staying human
This work happens in the physical world: fares, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Collect fares or vouchers from passengers, and make change or issue receipts as necessary.” (O*NET 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: Card systems handle payment automatically, but taking cash, giving change and issuing receipts happens hand to hand.
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.
Regulating heating, lighting and ventilation systems for passenger comfort
staying human
This work happens in the physical world: ventilation systems, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Regulate heating, lighting, and ventilation systems for passenger comfort.” (O*NET task statement)
How this row was scored
Exposure score: 12 out of 100 (0–24 allowing for uncertainty): minimal exposure, low 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: Adjusting heating and ventilation for passenger comfort means reaching the controls inside 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 1/4 · how much data exists 3/4.
Performing errands for customers or employers
staying human
This work happens in the physical world: errands, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Perform errands for customers or employers, such as delivering or picking up mail and packages.” (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: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Collecting and delivering mail or parcels means physically going and fetching 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 1/4 · how much data exists 3/4.
Performing minor vehicle repairs, such as cleaning spark plugs or taking vehicles to mechanics for servicing
staying human
This work happens in the physical world: minor vehicle repairs, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Perform minor vehicle repairs, such as cleaning spark plugs, or take vehicles to mechanics for servicing.” (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: Minor repairs and garage trips are physical 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.
Performing routine vehicle maintenance, such as regulating tire pressure and adding gasoline, oil and water
staying human
This work happens in the physical world: routine vehicle maintenance, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Perform routine vehicle maintenance, such as regulating tire pressure and adding gasoline, oil, and water.” (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: Checking tires and topping up fuel, oil and water is 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.
Picking up and drop off passengers at regularly scheduled neighborhood locations
staying human
This work happens in the physical world: and drop off passengers, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Pick up and drop off passengers at regularly scheduled neighborhood locations, following strict time schedules.” (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: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Collecting and setting down passengers to a timetable means driving the route in person.
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 3/4.
Picking up or meeting passengers
staying human
This work happens in the physical world: or meeting passengers, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Pick up or meet passengers according to requests, appointments, or schedules.” (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: 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: Meeting a passenger at an agreed place and time requires the driver to be 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 2/4 · how much data exists 3/4.
Providing passengers with assistance entering and exiting vehicles
staying human
This work happens in the physical world: passengers, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Provide passengers with assistance entering and exiting vehicles, and help them with any luggage.” (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 value is that a specific person does it.
The rating behind it: Helping someone into a vehicle and lifting their luggage is physical assistance given in person.
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 1/4.
Vacuuming and cleaning interiors and washing and polish exteriors of automobiles
staying human
This work happens in the physical world: interiors, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Vacuum and clean interiors, and wash and polish exteriors of automobiles.” (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: Vacuuming, washing and polishing a vehicle is physical cleaning 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.

What this job pays, and how many people do it

Median pay: $37,290a 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: 248,530in 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: pick up particular customers in, a record out. The rows above are exactly that shape: arranging to pick up particular customers or groups on a regular schedule. What it cannot do is be there in the room, and that is still where vehicle equipment gets 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: testing vehicle equipment, such as lights, brakes, horns or windshield wipers, to ensure proper operation 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, 7% in rows that change shape rather than disappear, and 93% in rows it is nowhere near. That is the position, measured across 26 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. Arranging to pick up particular customers or groups on a regular schedule 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 pick up particular customers, 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 vehicle equipment is 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 arranging to pick up particular customers or groups on a regular schedule. 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

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

Shuttle Drivers and ChauffeursTaxi Drivers
a year or morematched on shared tasks
One of the tasks on your list is on theirs in the same words: “test vehicle equipment, such as lights, brakes, horns, or windshield wipers, to ensure proper operation”. Take both published task lists together and about 44% of the work in that job that the software is not taking is work you are doing today.
About 44% of it you could do on Monday. The catch is not the work, it is how few of those jobs there are.
The work the two jobs share
- You already do
  “Test vehicle equipment, such as lights, brakes, horns, or windshield wipers, to ensure proper operation.”
  They do
  “Test vehicle equipment, such as lights, brakes, horns, or windshield wipers, to ensure proper operation.”
- You already do
  “Follow relevant safety regulations and state laws governing vehicle operation, and ensure that passengers follow safety regulations.”
  They do
  “Follow relevant safety regulations and state laws governing vehicle operation, and ensure that passengers follow safety regulations.”
- You already do
  “Perform routine vehicle maintenance, such as regulating tire pressure and adding gasoline, oil, and water.”
  They do
  “Perform routine vehicle maintenance, such as regulating tire pressure and adding gasoline, oil, and water.”
What you would not already have: Nothing in your task list touches “pick up passengers at prearranged locations, at taxi stands, or by cruising…”, “report to taxicab services or garages to receive vehicle assignments” or “turn the taximeter on when passengers enter the cab, and turn it…”. That is the part you would be learning from scratch, and it is roughly the 56% of their durable work you do not already hold.
The honest bill
Pay: $42,100 against your $37,290 (OEWS May 2025 (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 US Labor Department’s licensed-occupations finder; 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: $42,100 against your $37,290, 12.9% more (OEWS May 2025 (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 American Job Center service listed below will talk training funding through with you before you pay anyone.
- How many seats there are: About 41,050 of those jobs against 248,530 of yours (OEWS May 2025), 17% as many seats. A real door, not a wide one.
- Is the target job itself holding up: Taxi Drivers scores 13/100 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 56% of their work you would be learning, not by any one course.
See what AI is doing to taxi drivers
Shuttle Drivers and ChauffeursBus Drivers, School
a year or morematched on shared tasks
One of the tasks on your list is on theirs in the same words: “check the condition of a vehicle's tires, brakes, windshield wipers, lights, oil, fuel, water, and safety…”. Take both published task lists together and about 36% of the work in that job that the software is not taking is work you are doing today.
About 36% of it you could do on Monday. The rest is the price of the ticket.
The work the two jobs share
- You already do
  “Check the condition of a vehicle's tires, brakes, windshield wipers, lights, oil, fuel, water, and safety equipment to ensure that everything is in working order.”
  They do
  “Check the condition of a vehicle's tires, brakes, windshield wipers, lights, oil, fuel, water, and safety equipment to ensure that everything is in working order.”
- You already do
  “Comply with traffic regulations to operate vehicles in a safe and courteous manner.”
  They do
  “Comply with traffic regulations to operate vehicles in a safe and courteous manner.”
- You already do
  “Regulate heating, lighting, and ventilation systems for passenger comfort.”
  They do
  “Regulate heating, lighting, and ventilation systems for student comfort.”
What you would not already have: Nothing in your task list touches “follow safety rules as students board and exit buses or cross streets…”, “drive gasoline, diesel, or electrically powered multi-passenger vehicles to transport students between…” or “maintain order among students during trips to ensure safety”. That is the part you would be learning from scratch, and it is roughly the 64% of their durable work you do not already hold.
The honest bill
Pay: $47,920 against your $37,290 (OEWS May 2025 (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 US Labor Department’s licensed-occupations finder; 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: $47,920 against your $37,290, 28.5% more (OEWS May 2025 (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 American Job Center service listed below will talk training funding through with you before you pay anyone.
- Is the target job itself holding up: Bus Drivers, School scores 15/100 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 64% of their work you would be learning, not by any one course.
See what AI is doing to bus drivers, school

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.

Light Truck Drivers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already report delays, accidents, or other traffic and transportation situations, using telephones or mobile…, and their equivalent is to report delays, accidents, or other traffic and transportation situations to bases or other…. Across both published task lists that is about 12% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 12% 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 →
Bus Drivers, Transit and Intercity
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already regulate heating, lighting, and ventilation systems for passenger comfort, and their equivalent is to regulate heating, lighting, and ventilating systems for passenger comfort. Across both published task lists that is about 9% of the durable work in that job.
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 →
Heavy and Tractor-Trailer Truck Drivers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already complete accident reports when necessary, and their equivalent is to report vehicle defects, accidents, traffic violations, or damage to the vehicles. Across both published task lists that is about 4% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 4% 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 26 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 testing vehicle equipment, such as lights, brakes, horns or windshield wipers, to ensure proper operation 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 Taxi and cab drivers and chauffeurs 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 Taxi and cab drivers and chauffeurs, Bus and coach drivers, Road transport drivers n.e.c. and Delivery drivers and couriers. 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.

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.

Noted, and thank you. We’ll email you if a Space for shuttle drivers / chauffeurs 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 shuttle drivers / chauffeurs 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 shuttle drivers / chauffeurs 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 shuttle drivers / chauffeurs 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 Shuttle Drivers and Chauffeurs?: Not as a job, but it is already doing parts of the work. Across the 26 official task statements scored for Shuttle Drivers and Chauffeurs (United States, SOC 53-3053), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 15 out of 100 (range 11–21, 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 “Shuttle Drivers and Chauffeurs” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Arrange to pick up particular customers or groups on a regular schedule” (48/100, partial); “Record vehicle routes” (46/100, partial); “Prepare and submit reports that may include the number of passengers or trips, hours worked, mileage driven fuel consumed, or fares received” (38/100, 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 “Shuttle Drivers and Chauffeurs” stay human?: About 93% 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: “Vacuum and clean interiors, and wash and polish exteriors of automobiles” (0/100, minimal); “Test vehicle equipment, such as lights, brakes, horns, or windshield wipers, to ensure proper operation” (0/100, minimal); “Provide passengers with assistance entering and exiting vehicles, and help them with any luggage” (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 “Shuttle Drivers and Chauffeurs” do about AI?: Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 93% 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 Shuttle Drivers and Chauffeurs 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 26 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

2 tasks scored differently between repeat runs, so their range on this page is wider. We would rather show the wobble than hide it.
One row is marked low confidence, so treat it as a ballpark rather than a fine measurement.
The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
16 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

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

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

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

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.