SAFE
The job is forcible entry, hose advancement, ventilation, search-and-rescue in zero-visibility smoke, vehicle extrication, and pre-hospital patient care — none of which robotics can do at cost in an uncontrolled, collapsing environment. AI genuinely eats the paperwork tier: incident reports, inspection write-ups, pre-plan documentation, dispatch triage support, and staffing schedules. Command decisions on scene — offensive vs. defensive attack, when to pull crews out — are exactly the high-stakes ambiguous calls a human is expected to own and be reviewed on.
Dipped in 2020, then grew past where it started.
Median pay $50,850 → $59,280 -6.7% 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
+3.4% 344,900 → 356,700 on the projections basis
Hard to automate, and growing
The work resists current AI and the BLS projects +3.4% 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.
~27,100 openings a year on average, including replacing people who leave.
FiremanPlugmanHot ShotLaddermanFire MedicTiller ManFirefighterSmoke EaterFire FighterSmoke ChaserSmoke JumperFire EngineerRescue WorkerTiller WorkerTail Board ManLadder OperatorFire Chief's AideFireboat OperatorFirefighter DiverTail Board WorkerApparatus OperatorForest FirefighterMarine FirefighterOn-Scene Supporter
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Pulling ceiling with a hook to chase fire in a void space, throwing a 24-foot ladder to a second-floor window, and dragging a 200-pound victim down a stairwell are irreducibly manual — the 17 rather than 20 reflects that pre-incident planning, hydrant/inspection data collection, and NFPA 1710 response-time analysis are genuinely being absorbed by software.
Hands-on in uncontrolled environments You work in flashover-range heat on SCBA with 45 minutes of air, on pitched roofs, in confined spaces, and on highway shoulders cutting A-posts with hydraulics — there is no version of this scored below the ceiling.
Certification preferred, not legally required Firefighter I/II and EMT or paramedic licensure are real credentials with real revocation risk on the patient-care side, but structural firefighting itself is performed under municipal sovereign immunity and departmental SOGs, so the personal legal exposure that puts a physician at 18 sits well below that for you.
Exists to be accountable for ambiguous calls The IC deciding to go defensive on a lightweight truss roof at minute twelve, or the company officer calling a mayday and abandoning a search, owns that call in the NIOSH LODD report and the after-action review; the 17 rather than 20 accounts for RECEO-VS, two-in/two-out, and ICS giving you more structure than a surgeon or a judge gets.
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 (17/20 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 (10/20) is whether the law requires a licensed human to sign. Trust premium (15/20) is whether buyers specifically pay for a person. Judgment and accountability (17/20) 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 42 of this occupation's 79 points (53%).
Embodiment (20/20) 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 90/100, still SAFE.
State EMS licensure rules requiring a credentialed paramedic — not an AI protocol engine — to authorize and be personally accountable for drug administration and field termination-of-resuscitation decisions; several state EMS boards are already writing AI-decision-support language into protocol approval
Municipal referendum and union campaigns explicitly framing staffed engine companies as a public service voters fund (e.g. fire-district levy ballot measures in Washington and Oregon that specify apparatus staffing levels), plus ISO Public Protection Classification credits tied to on-duty personnel that translate directly into resident insurance premiums
Task-mix shift as the paperwork tier is genuinely automated: if inspection write-ups, NFIRS reporting and pre-plan documentation move to AI, the remaining job concentrates on interior operations and command, which are the tiers no model touches. This raises resistance without any new rule, but note it can also cut headcount in fire-prevention and inspector billets specifically
Expansion of NFPA 1710/1720 minimum staffing benchmarks into binding state law or municipal charter language (as in some Florida and Illinois collective bargaining agreements, and the recurring federal 'Fire Department Safe Staffing' bills), making four-person engine crews and two-in/two-out a legally enforceable condition rather than a consensus standard, so headcount cannot be traded against technology
Post-incident review regimes that name the Incident Commander personally — NIOSH Fire Fighter Fatality Investigation reports plus state OSHA citations for offensive-attack decisions in derelict structures — extended into criminal-negligence exposure for command calls, as attempted in some post-fire prosecutions abroad; formal ICS accreditation (Blue Card certification) spreading as a hiring requirement also fixes the accountable human
The limit. Already at 79 with embodiment maxed; realistic headroom is a few points on liability_shield. The genuine risk to this occupation is not AI substitution but municipal budget consolidation — station closures, brownouts, county mergers, and civilianization of inspection and prevention roles. Those cut jobs while every dimension score stays high, so the register will not register the loss.
| New York-Newark-Jersey City, NY-NJ | 14,960 | $106,420 +80% |
| Chicago-Naperville-Elgin, IL-IN | 14,560 | $82,820 +40% |
| Dallas-Fort Worth-Arlington, TX | 8,780 | $64,900 +9% |
| Boston-Cambridge-Newton, MA-NH | 8,510 | $73,990 +25% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 7,610 | $66,980 +13% |
| Los Angeles-Long Beach-Anaheim, CA | 7,200 | $98,050 +65% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 6,600 | $75,710 +28% |
| Atlanta-Sandy Springs-Roswell, GA | 6,350 | $47,300 -20% |
| San Jose-Sunnyvale-Santa Clara, CA | 1,330 | $152,100 +157% |
| San Francisco-Oakland-Fremont, CA | 3,450 | $113,700 +92% |
| New York-Newark-Jersey City, NY-NJ | 14,960 | $106,420 +80% |
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 79. 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.