SAFE
Commercial pilots — charter, air taxi, medevac, aerial survey, agricultural application, flight instruction — spend their hours doing things software already does partly (autopilot cruise, flight planning, weight-and-balance math) alongside things it does not: physical preflight walkarounds, hand-flying approaches in gusty crosswinds, loading and securing cargo, and owning the go/no-go call as pilot-in-command. The FAA requires a certificated, medically qualified human in the seat with personal legal liability for the flight, and that regulatory shield — not raw capability — is the thickest moat here; it will erode gradually via single-pilot and remote-supervision rules before it breaks. Uncrewed cargo and Part 135 automation pilots are real and will thin the low-end charter and survey tiers first.
Headcount grew steadily across the period.
Median pay $86,080 → $123,220 +14.5% 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
+5.1%
Percentage only. The projection counts a different population from the 47,630 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Hard to automate, and growing
The work resists current AI and the BLS projects +5.1% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.
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.
~6,600 openings a year on average, including replacing people who leave.
FlyerPilotAviatorCaptainCopilotBalloonistLine PilotTest PilotCrop DusterRotor PilotSpray PilotCheck AirmanBalloon PilotCharter PilotFirst OfficerMapping PilotAerial SprayerAir Tour PilotAirplane PilotForestry PilotCorporate PilotExecutive PilotFlight OperatorTransport Pilot
Holding it up: liability shield . Weakest point: trust premium .
Tasks largely resist digitisation Autopilot handles cruise and coupled approaches, and ForeFlight already does the flight planning and weight-and-balance, but the parts that fill a charter or ag pilot's day — the walkaround finding a nicked prop or hydraulic seep, hand-flying a circling approach into an unlit backcountry strip, dodging a building cell with the radar and Center's help, loading and strapping a medevac patient or a coffin — sit at 14 rather than 18 because the enroute portion genuinely is already flown by machine.
Hands-on in uncontrolled environments You are strapped into a vibrating cockpit in weather nobody controls: pulling cowling panels, sumping fuel for water, low-level ag passes over wires at 8 feet, night NVG helicopter landings on a highway shoulder — but it stays at 15 rather than 19 because most of the flight is spent seated in a fixed, purpose-built workstation, not crawling through a confined space.
Licensed human required and personally liable 14 CFR 91.3 makes the pilot-in-command directly responsible for the operation of that aircraft, and your Commercial certificate plus current first- or second-class medical are the things the FAA suspends, the NTSB names, and the insurer prices — a 17 not 20 only because Part 135 operators, dispatchers, and mechanics share exposure with you and the certificate itself is revocable rather than a self-governing professional monopoly.
Exists to be accountable for ambiguous calls The go/no-go with thunderstorms building at the destination, the divert with two hours of fuel and a deteriorating ceiling, the decision to refuse an overweight load or a sick-looking crewmember, and the engine failure at 400 feet where the checklist runs out are yours alone and unreviewable in the moment — 16 rather than 19 because much of the flight is flown to published minimums, SOPs, and checklists that constrain the space you exercise that discretion in.
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 (14/20 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 (17/20) is whether the law requires a licensed human to sign. Trust premium (11/20) is whether buyers specifically pay for a person. Judgment and accountability (16/20) 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 44 of this occupation's 73 points (60%).
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 82/100, still SAFE.
Task-mix shift within the occupation: if cruise-phase and survey-grid flying automates, the residual job concentrates in medevac scene landings, ag application at 10 feet over uneven terrain, mountain and unimproved-strip charter, and flight instruction — tiers where hand-flying and on-scene judgment dominate. This is a genuine two-tier occupation and the surviving tier scores higher than the average
NTSB and FAA enforcement practice continuing to name the PIC as the accountable party in automation-involved occurrences, and courts declining to shift that to the manufacturer — each such case reinforces that the consequential call is owned by a person in the seat
FAA declining to certify reduced-crew or remote-supervised Part 135 operations without an onboard PIC — e.g. if the rulemaking following the Reliable Robotics and Xwing Part 135 exemption petitions ends with an onboard-pilot requirement, or if ALPA-backed language like the 'Safe Landings' / two-crew provisions pushed in FAA Reauthorization debates is enacted into statute rather than left to agency discretion
State or FAA rules extending PIC-equivalent certification and personal liability to the remote operator seat, so that even automated cargo flights require a certificated, medically qualified, individually liable human per flight rather than a fleet monitor — analogous to how EASA's single-pilot ops work has kept a licensed accountable human named per sector
Insurer-driven rather than passenger-driven: if aviation underwriters (e.g. Global Aerospace, USAIG) price hull and liability cover materially higher for reduced-crew Part 135 operations, charter brokers effectively pay for the human crew. Note passenger-side willingness to pay for a human pilot is largely untested and unpriced today
The limit. Already near the top on the institutional dimensions; the realistic range is roughly 73–80. The dominant risk is not capability but a single FAA rulemaking on reduced-crew Part 135 ops, which could subtract more than all these levers add. Embodiment cannot rise.
| Miami-Fort Lauderdale-West Palm Beach, FL | 3,440 | $127,360 +3% |
| Los Angeles-Long Beach-Anaheim, CA | 1,980 | — |
| Dallas-Fort Worth-Arlington, TX | 1,810 | $160,160 +30% |
| Columbus, OH | 1,410 | $175,690 +43% |
| New York-Newark-Jersey City, NY-NJ | 1,210 | $225,900 +83% |
| Phoenix-Mesa-Chandler, AZ | 1,020 | $105,770 -14% |
| Las Vegas-Henderson-North Las Vegas, NV | 940 | $105,340 -15% |
| Chicago-Naperville-Elgin, IL-IN | 840 | $157,420 +28% |
| Waterbury-Shelton, CT | 130 | $315,450 +156% |
| Kiryas Joel-Poughkeepsie-Newburgh, NY | 50 | $280,630 +128% |
| Santa Rosa-Petaluma, CA | 130 | $274,730 +123% |
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 73. 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.