EXPOSED
Almost nothing a transit driver does is text or screen work, so today's language AI is irrelevant to the job — the real threat is autonomous driving, which handles highway intercity runs far better than dense urban routes with double-parked cars, jaywalkers, and unpredictable curbside boarding. The non-driving half of the job (securing wheelchairs, managing fare disputes, de-escalating passengers, deciding whether to stop for a running rider or hold for a transfer) is embodied judgment that no current robot performs. A CDL with passenger and air-brake endorsements plus strong ATU contracts slow substitution, but pilot autonomous shuttles and driver-out freight are eroding the assumption that a human must be in the seat.
Nearly all of this fall was the 2020 shock. It has been climbing back since.
Median pay $43,030 → $59,050 +9.8% 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
+4.3% 158,800 → 165,600 on the projections basis
Growing, and only partly exposed
The BLS expects +4.3% more of these jobs by 2034, and at 58/100 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.
~20,900 openings a year on average, including replacing people who leave.
Bus DriverBus OperatorStage DriverJitney DriverCharter DriverCoach OperatorTransit DriverCity Bus DriverMotor Bus DriverTransit OperatorMotorcoach DriverCharter Bus DriverMotor Coach DriverTransit Bus DriverTransport OperatorCourtesy Bus DriverMotorcoach OperatorCharter Coach DriverMotor Coach OperatorInterstate Bus DriverSubstitute Bus DriverMotor Coach Bus DriverParatransit Bus DriverTransit Coach Operator
Holding it up: embodiment . Weakest point: trust premium .
Mixed — a routine tier and a judgment tier Holding a lane and reading a fixed-route schedule is exactly what driving-automation vendors have already demonstrated on closed campuses and highway corridors, which caps this at 13 rather than 17 — but the same shift includes lowering the ramp, strapping a mobility device into four-point tiedowns, telling a rider the fare is short and letting them ride anyway, and calling dispatch when a detour blocks half the route, none of which any deployed system does.
Hands-on in uncontrolled environments The whole shift happens in a 40-foot vehicle in live traffic, weather, and construction detours, with kneeling the bus at a curb, checking mirrors for a wheelchair user in the aisle, and pre-trip inspecting brakes, tires and lights outdoors — 17 rather than 20 only because the driver stays seated in a fixed cab for most of it rather than climbing or lifting freight.
Licensed human required and personally liable A CDL with P and air-brake endorsements, DOT medical card, random drug and alcohol testing under 49 CFR 382, and a personal driving record that a preventable-accident finding follows around are real personal exposure — but it is a licence to operate, not a professional judgment credential, so the transit agency absorbs the passenger-injury claims and the number lands at 11.
Meaningful discretion Real calls get made in seconds — pull around a double-parked delivery truck into oncoming traffic, refuse to board an intoxicated rider, hold for a transfer and blow the headway, evacuate on a smoke smell — but they sit inside a route sheet, a rulebook, and a dispatcher on the radio, which is discretion under supervision rather than the ambiguous high-stakes ownership of a 15.
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 (13/20 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 (11/20) 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 (9/20) 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 28 of this occupation's 58 points (48%).
Embodiment (17/20) 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 bus drivers, transit and intercity 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 73/100 — SAFE.
State law or FMCSA rulemaking requiring a CDL-holding safety attendant physically aboard any driverless transit vehicle carrying passengers — the pattern in California AB 1777-adjacent debates and in existing state AV shuttle permits (e.g. Florida, Ohio pilots) that mandate an onboard operator. If a passenger-endorsement CDL plus personal liability for wheelchair securement and evacuation is written into the permit condition, the seat stays legally occupied even when the steering is automated.
Union contract language — ATU/TWU bargaining at agencies like MBTA, SEPTA or LA Metro — establishing that the onboard employee, not the remote operations center, holds final authority to stop service, refuse boarding, or evacuate, with that authority recognized in the agency's safety management system under FTA Part 673 PTASP rules.
ADA enforcement reading that securement of mobility devices and provision of stop announcements require a trained human attendant, formalized in an FTA circular or a consent decree from a Title II suit against an agency deploying driver-out service.
Task-mix shift if highway intercity and fixed-guideway BRT segments automate first, leaving the remaining human roster concentrated on dense urban routes, school-tripper and paratransit work where boarding assistance, fare disputes and de-escalation dominate the shift. The job that remains is the judgment tier; the driving tier was the automatable half.
The limit. Trust premium has no plausible route: transit riders do not choose their operator and agencies buy on cost per revenue hour, so no buyer can pay extra for a human. Liability and contractual authority are the only real levers, and both are agency-by-agency and reversible under budget pressure — a fare-box crisis reopens every one of them.
| New York-Newark-Jersey City, NY-NJ | 19,770 | $78,130 +32% |
| Los Angeles-Long Beach-Anaheim, CA | 10,140 | $68,020 +15% |
| Chicago-Naperville-Elgin, IL-IN | 7,080 | $65,200 +10% |
| San Francisco-Oakland-Fremont, CA | 5,540 | $78,900 +34% |
| Seattle-Tacoma-Bellevue, WA | 4,430 | $83,430 +41% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 4,070 | $65,220 +10% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 3,620 | $48,300 -18% |
| Houston-Pasadena-The Woodlands, TX | 3,400 | $50,430 -15% |
| Las Vegas-Henderson-North Las Vegas, NV | 2,180 | $90,460 +53% |
| Seattle-Tacoma-Bellevue, WA | 4,430 | $83,430 +41% |
| Portland-Vancouver-Hillsboro, OR-WA | 2,130 | $80,170 +36% |
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 58. 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.