EXPOSED
The core task — moving a vehicle along a repeated route — is the single most-funded automation target in the world, and fixed-route airport and campus shuttles are exactly the geofenced, low-speed case driverless systems handle first. What holds the job up is everything around the wheel: loading luggage, securing wheelchairs, handling a confused or intoxicated passenger, reading a client's mood in the back seat, and being the person a hotel or executive office is willing to answer for. Chauffeur permits and DOT medical cards slow entry but are not a strong legal shield, and the modal worker here is a shuttle driver, not a black-car chauffeur with a repeat client book.
Headcount grew steadily across the period.
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.
BLS projection, 2024–2034
+6.7% 243,900 → 260,300 on the projections basis
Growing, and only partly exposed
The BLS expects +6.7% more of these jobs by 2034, and at 47/100 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.
~36,300 openings a year on average, including replacing people who leave.
DriverChauffeurBus DriverCar DriverVan DriverTransporterFamily DriverHearse DriverShuttle DriverCrew Car DriverCorporate DriverVehicle OperatorEscort Car DriverLivery Car DriverMotor Pool DriverFuneral Car DriverMotor Coach DriverShuttle Bus DriverCourtesy Car DriverCourtesy Van DriverExecutive ChauffeurVan Delivery DriverHotel Shuttle DriverFuneral Car Chauffeur
Holding it up: embodiment . Weakest point: judgment & accountability .
Mixed — a routine tier and a judgment tier Driving a fixed loop between terminal and rental lot at 15 mph is squarely inside what Waymo and May Mobility already run in revenue service, but the same shift includes lifting 50-lb bags into a bay, ratcheting down a wheelchair to WC19 anchor points, and waking a passenger who slept past their stop — physical service tasks that keep this above the 6-and-under band without getting near 14.
Hands-on in uncontrolled environments The work happens in airport curbside crush, snow-covered hotel driveways and unlit residential streets, with the driver out of the seat opening doors, deploying a lift, and standing in traffic to load — an uncontrolled outdoor environment, though the route itself is known and repeated, which is why this is 15 and not 19.
Certification preferred, not legally required A CDL with passenger endorsement or a local chauffeur/TCP permit plus a DOT medical card is a real gate — you can be pulled off the road for a BP reading or a positive test — but the operating authority and the insurance sit with the hotel, casino or shuttle contractor, so no personal licence stands between the employer and a claim.
Executes defined procedures on defined inputs Route, stop order, headway and dispatch calls come from the schedule board or the app, and the genuinely discretionary moments — refusing an over-intoxicated passenger, deciding a lane is too iced to attempt — are bounded by company policy and a radio call to dispatch, which is discretion of the reportable kind, not ownership of an ambiguous high-stakes call.
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 (10/20 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 (7/20) is whether the law requires a licensed human to sign. Trust premium (9/20) is whether buyers specifically pay for a person. Judgment and accountability (6/20) 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 22 of this occupation's 47 points (47%).
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.
No occupation passed every test: close enough to shuttle drivers and chauffeurs on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.
The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.
Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:
That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.
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 65/100, still EXPOSED.
State/city rules that keep a licensed human safety attendant aboard autonomous passenger shuttles — e.g. California DMV driverless deployment permits and the CPUC AV passenger programs have repeatedly required a trained attendant; several states' AV bills (and NYC/Boston pilots) still bar unattended passenger AVs. If ADA paratransit rules or FMCSA/state school-and-campus-transport regs are written to require a CDL/chauffeur-permitted human on board to secure wheelchairs and sign the trip manifest, this rises materially
Growth in wheelchair-securement, ambulatory-assist and door-to-door paratransit share of the occupation (driven by ADA complaints and aging demographics) shifts the day toward physical handling automation cannot do
Hotel, medical-transport and executive-security buyers specifying a named human driver in the contract — non-emergency medical transport and hospital discharge rides where a person must physically hand the patient off, and corporate duty-of-care/executive protection where the driver is vetted security personnel. Narrow segment, so the ceiling is low
Task-mix shift: if driving is automated on the geofenced route, the remaining role becomes onboard incident authority — deciding whether to refuse an intoxicated or medically distressed passenger, evacuate, or override the vehicle. Where that authority is written into the operator's job description rather than routed to a remote command center, this rises
Transit-union contracts (ATU/TWU) and municipal procurement clauses requiring an operator on board for any publicly funded shuttle — already present in several US transit AV pilot agreements
The limit. Even with all levers, the modal fixed-route airport/campus shuttle job is capped: attendant mandates historically loosen once safety records accumulate (Waymo already runs unattended passenger service in several metros), and one attendant can eventually cover several vehicles, so headcount falls even where the licence requirement survives. Trust premium cannot generalize — most shuttle riders are captive, non-paying passengers with no vendor choice.
| New York-Newark-Jersey City, NY-NJ | 18,760 | $45,410 +22% |
| Los Angeles-Long Beach-Anaheim, CA | 11,590 | $44,460 +19% |
| Boston-Cambridge-Newton, MA-NH | 7,970 | $43,590 +17% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 6,620 | $34,610 -7% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 6,390 | $36,760 -1% |
| Chicago-Naperville-Elgin, IL-IN | 6,370 | $38,290 +3% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 4,960 | $45,640 +22% |
| San Francisco-Oakland-Fremont, CA | 4,540 | $48,370 +30% |
| Urban Honolulu, HI | 1,840 | $57,050 +53% |
| Kahului-Wailuku, HI | 280 | $54,340 +46% |
| Bremerton-Silverdale-Port Orchard, WA | 160 | $51,860 +39% |
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.