SAFE
The core of this job is walking a building or a burn scene in person — testing sprinkler and alarm systems, checking egress and occupancy loads, sifting char patterns and electrical remains to determine origin and cause. AI can draft the inspection report, cross-reference IFC/NFPA code sections, and flag pattern anomalies in fire-loss data, but it cannot climb the roof, collect the debris sample, or stand up in court and defend a cause determination under cross-examination. Certification (ICC, IAAI-CFI, NFPA 1033) plus sworn or deputized authority means a named human signs the violation notice and the origin-and-cause finding.
Roughly flat across the period, with year-to-year wobble.
Median pay $61,660 → $75,920 -1.5% 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
+3.8% 14,700 → 15,200 on the projections basis
Hard to automate, and growing
The work resists current AI and the BLS projects +3.8% 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.
~1,500 openings a year on average, including replacing people who leave.
InspectorCode OfficialFire MarshallFire OfficialFire InspectorAlarm InspectorSmoke InspectorBomb InvestigatorFire InvestigatorArson InvestigatorBuilding InspectorFire Code InspectorFire Safety OfficerSprinkler InspectorFire Alarm InspectorFire Hazard InspectorFire Safety InspectorFire System InspectorFire Safety SpecialistFire Sprinkler ForemanFire Prevention OfficerFire Equipment InspectorFire Sprinkler InspectorAlarm Sprinkler Inspector
Holding it up: embodiment . Weakest point: trust premium .
Tasks largely resist digitisation Sifting a collapsed burn scene for V-patterns, pulling receptacles and appliance cords for lab submission, flow-testing hydrants and standpipes, and interviewing the first-arriving engine company are tasks with no digital substitute; the 14 rather than 18 reflects that the paperwork half — code citation lookup, permit plan review against IFC occupancy tables, report generation, and fire-loss statistics — is already software-assisted and shrinking.
Hands-on in uncontrolled environments You work unshored fire-damaged structures with compromised floors in SCBA, on ladders and roofs, in crawlspaces and attics of occupied buildings, handling contaminated debris and accelerant-soaked samples — an uncontrolled environment by definition, held just under the ceiling only because a meaningful share of inspection work is scheduled walkthroughs of intact commercial buildings rather than active hazard.
Licensed human required and personally liable NFPA 1033 job performance requirements, IAAI-CFI or ICC fire inspector certification, and in many jurisdictions sworn peace-officer or deputized fire marshal status mean your name goes on the violation notice, the order to correct, and the origin-and-cause report that an insurer denies a claim on or a prosecutor charges arson from — a 13 not an 18 because certification and statutory appointment vary widely by state and many inspectors operate under a fire marshal's delegated authority rather than an individual practice licence.
Exists to be accountable for ambiguous calls Calling an ignition source "undetermined" versus "incendiary" on ambiguous evidence sends a case to arson charges or closes it, and deciding whether a life-safety deficiency justifies ordering an occupancy vacated tonight or a 30-day correction notice is yours to defend; 15 rather than 19 because NFPA 921's scientific method, code tables, and the fire marshal's office review structure the call more than a physician's or judge's equivalent decision.
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 (13/20) 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 (15/20) 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 37 of this occupation's 68 points (54%).
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.
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 77/100, still SAFE.
As routine code-compliance walkthroughs shift to drone/sensor capture and automated permit review, the retained caseload concentrates on contested fatality fires, arson-for-profit, and occupancy shutdown orders — decisions that close a business or precede a criminal charge. Expanded use of administrative shutdown authority (e.g. post-Surfside-style structural/fire escalations) deepens this.
Two genuine tiers: routine annual occupancy inspections and plan review versus fire-scene origin-and-cause. If jurisdictions adopt self-inspection portals and third-party plan review (already in several large cities) for the routine tier, the remaining job is scene work and contested cases, which resists automation more.
NFPA 1033 (Standard for Professional Qualifications for Fire Investigator) revision or state fire marshal rule explicitly barring AI-generated origin-and-cause conclusions unless a certified investigator independently reproduces and signs the determination — plus a Daubert/Frye ruling excluding origin-and-cause testimony where the analysis was machine-generated and the witness cannot explain the method. Insurers' subrogation counsel already require IAAI-CFI-signed reports.
The limit. Headcount is the real exposure, not task substitution: automated plan review and sensor-based inspection can shrink the routine-inspection tier of a 13,800-person occupation even as the per-investigator score rises. Trust premium has no realistic route — the buyer is a municipality or an insurer, and neither pays extra for a human on principle.
| New York-Newark-Jersey City, NY-NJ | 1,720 | $65,710 -13% |
| Houston-Pasadena-The Woodlands, TX | 410 | $82,390 +9% |
| Chicago-Naperville-Elgin, IL-IN | 350 | $62,400 -18% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 350 | $88,260 +16% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 330 | $59,080 -22% |
| Dallas-Fort Worth-Arlington, TX | 290 | $94,690 +25% |
| Riverside-San Bernardino-Ontario, CA | 270 | $99,580 +31% |
| San Francisco-Oakland-Fremont, CA | 270 | $129,410 +70% |
| San Jose-Sunnyvale-Santa Clara, CA | 40 | $159,220 +110% |
| San Francisco-Oakland-Fremont, CA | 270 | $129,410 +70% |
| Seattle-Tacoma-Bellevue, WA | 210 | $127,920 +68% |
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 68. 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.