EXPOSED
This is a catch-all title covering shuttle and van drivers, ambulette and paratransit operators, valet and vehicle-transport drivers — the modal worker spends the day behind the wheel in mixed traffic, plus loading, securing, and assisting passengers or cargo. Language AI touches almost none of that; the real threat is autonomous driving, which works in geofenced pilots but is nowhere near handling curbside pickup of a wheelchair passenger or a chaotic hotel driveway. Routing, dispatch logs, manifests, and mileage reporting are already automated, and the passenger-assistance and physical-handling portion is what keeps the job.
This fall is concentrated in 2020 and has not recovered since.
Median pay $32,910 → $37,180 -9.6% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+6%
Percentage only. The projection counts a different population from the 46,880 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Growing, and only partly exposed
The BLS expects +6% more of these jobs by 2034, and at 50/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~11,100 openings a year on average, including replacing people who leave.
SweeperCar DriverCar DelivererAssembly Line DriverLeaf Sucker OperatorMotorcycle DelivererStarting Gate DriverPower Sweeper OperatorStreet Sweeper OperatorTractor Sweeper OperatorNew Autos Delivery DriverDelivery Motorcycle DriverMotorcycle Delivery DriverIce-Resurfacing Machine OperatorsStreet Cleaning Equipment OperatorRoads and Parking Lots Sweeper-Operator
The BLS uses Motor Vehicle Operators, All Other for work that doesn't fit any named occupation, so it covers roles that have little in common with each other. Two consequences worth knowing before you read anything below:
Holding it up: embodiment . Weakest point: judgment & accountability .
Mixed — a routine tier and a judgment tier Dispatch, routing, manifests and mileage are already software, but the day still turns on unprotected left turns in mixed traffic, backing a van into a loading dock, and folding a wheelchair into a lift — automation can hold a lane on a highway and cannot do curbside pickup, which is why this sits at 12 rather than in the resistant high teens.
Hands-on in uncontrolled environments You are in a vehicle you don't control the environment of — ice, double-parked delivery trucks, hotel driveways, residential driveways with no turnaround — plus lift operation, four-point tiedowns, walking a passenger to a door and lifting bags, which puts it above a fixed-route bus and just below a tow operator working a live shoulder.
Certification preferred, not legally required A CDL or passenger endorsement is required for some of these vehicles and paratransit work carries state ambulette or non-emergency medical transport certification, but plenty of shuttle, valet and vehicle-transport jobs run on a clean regular licence and a DOT physical — so the credential is a hiring filter, not a personal liability wall the way a nurse's licence is.
Meaningful discretion Most of the shift runs on the manifest and the schedule, but you decide alone whether a road is safe to enter, whether a passenger is too impaired to be left at a curb, and whether to abandon a pickup — real calls with no one to phone, made a handful of times a day rather than continuously.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (12/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (8/20) is whether the law requires a licensed human to sign. Trust premium (8/20) is whether buyers specifically pay for a person. Judgment and accountability (7/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 23 of this occupation's 50 points (46%).
Embodiment (15/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 66/100, still EXPOSED.
Paratransit and ambulette work concentrating into the ADA-mandated assistance tier: FTA complementary paratransit rules already require origin-to-destination service including securing wheelchairs with 4-point tiedowns and hands-on boarding assistance. If states adopt attendant-required rules for non-emergency medical transport (as several Medicaid NEMT programs do), the physically irreducible portion of the day rises even where the driving is automated.
State licensure/certification of the passenger-assistance role rather than the driving role — e.g. PASS (Passenger Service and Safety) certification via CTAA, or state NEMT driver credentialing with background checks, defensive-driving and wheelchair-securement certificates as a condition of Medicaid billing. If a named certified attendant must be logged on each trip and carries personal responsibility for securement, the seat survives driver removal.
State AV statutes that require a credentialed human safety operator aboard vehicles carrying vulnerable passengers or schoolchildren — California DMV's driverless deployment rules currently exclude passenger service without CPUC authorization, and several state bills have carved out school and medical transport from driverless permits.
Formal designation of the operator as the on-scene decision-maker for refusal-of-service, medical-distress, and no-show calls in NEMT contracts — currently these are informal. If contract language or a state Medicaid manual assigns the trip-abort and escalation decision to a named certified attendant, the role owns consequential calls rather than executing dispatch instructions.
Task-mix shift as geofenced autonomy absorbs the fixed-route shuttle tier: the residual work becomes curbside negotiation, unpredictable venue driveways, cargo securement and passenger transfer. This occupation does have two genuine tiers, and the routine one is the one automating first.
The limit. Trust premium has no plausible route: buyers here are transit agencies, hospitals, hotels and Medicaid programs procuring on lowest bid, and no segment of them advertises or pays extra for a human driver. Valet and vehicle-transport subsets have no licensure hook at all and will not benefit from the paratransit levers — the score gains above are concentrated in the ambulette/NEMT slice, roughly a third of the title.
| New York-Newark-Jersey City, NY-NJ | 3,370 | $45,850 +23% |
| Denver-Aurora-Centennial, CO | 2,150 | $39,610 +7% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 1,510 | $64,600 +74% |
| Detroit-Warren-Dearborn, MI | 1,440 | $33,990 -9% |
| Atlanta-Sandy Springs-Roswell, GA | 1,140 | $32,830 -12% |
| Los Angeles-Long Beach-Anaheim, CA | 1,140 | $44,180 +19% |
| Boston-Cambridge-Newton, MA-NH | 980 | $33,110 -11% |
| Nashville-Davidson--Murfreesboro--Franklin, TN | 970 | $35,480 -5% |
| Anchorage, AK | 70 | $74,710 +101% |
| Vallejo, CA | 60 | $73,280 +97% |
| Salinas, CA | 50 | $71,140 +91% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 50. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.