EXPOSED
The core of this job is walking terrain — patrolling forest roads, inspecting properties for defensible space and code compliance, checking fuel loads, staffing lookouts, and investigating burn origins on the ground — none of which AI or current robotics performs. What is automating is the analytical wrapper: fire danger rating from weather and fuel-moisture feeds, satellite and camera-based smoke detection, burn-permit intake, risk mapping, and drafting inspection reports and public-education material. NWCG qualifications and agency authority give a moderate credential moat, but this is agency policy rather than statutory personal liability, and the occupation is tiny and budget-dependent.
Headcount grew steadily across the period.
Median pay $45,270 → $56,870 +0.5% 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
+14.6% 2,900 → 3,300 on the projections basis
Growing, and only partly exposed
The BLS expects +14.6% more of these jobs by 2034, and at 62/100 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.
~300 openings a year on average, including replacing people who leave.
TowermanFire RangerFire WardenFire WatcherFire ObserverForest OfficerRange ExaminerTower WatchmanDistrict RangerFire TechnicianForest PatrolmanFire Tower KeeperForestry PatrolmanForest Fire OfficerWildland FirefighterFire Range TechnicianFire Management OfficerFire Prevention OfficerFire Operations ForesterFire Management TechnicianFire Prevention TechnicianForest Fire Control OfficerLook Out Tower Fire WatcherWildfire Mitigation Specialist
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier At 13 the split is honest: the fuels inventory, defensible-space inspection, and origin-and-cause walk-through still require someone standing in the burn scar reading char patterns and grass stem indicators, but the fire-danger index calculation, permit intake, weather-station interpretation, and the daily prevention report that used to eat an afternoon are already being produced by NFDRS feeds and camera networks like ALERTWildfire — enough of the job has been peeled off to keep it out of the 14+ band.
Hands-on in uncontrolled environments 17 reflects that a normal shift means patrolling unpaved roads in fire weather, climbing to lookout posts, entering ash-covered structures during origin investigation, and inspecting slash piles and chimneys on private parcels in steep terrain — uncontrolled ground, smoke, heat, and no way to substitute a sensor for a boots-on-site fuels judgment; short of 20 only because a meaningful share of the week is spent on permits, plan review, and public-education briefings indoors.
Certification preferred, not legally required 8 because NWCG qualification cards (FPI, INVF) and red-card currency are real gatekeepers agencies enforce, but they are agency-issued task books rather than a state licence — nobody revokes a professional licence over your findings, and when your cause determination goes to civil cost-recovery litigation it is the agency and its counsel carrying the exposure, not your personal certification.
Exists to be accountable for ambiguous calls 14 is earned by the origin-and-cause call — you decide whether a fire was arson, equipment, or lightning, knowing that determination drives prosecution and cost recovery — plus discretionary calls on shutting down permitted burning, declaring industrial fire precaution levels, and whether a property passes defensible-space inspection when the standard says 'adequate'; it stops short of the highest band because burn-permit conditions and clearance distances come from written agency prescriptions.
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 (8/20) is whether the law requires a licensed human to sign. Trust premium (10/20) is whether buyers specifically pay for a person. Judgment and accountability (14/20) 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 32 of this occupation's 62 points (52%).
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.
Firefighters SAFE
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 74/100 — SAFE.
State-level defensible-space inspection mandates that require a certified inspector's signed attestation as a condition of property insurance or real-estate transfer — California's Zone 0 ember-resistant zone rules (AB 3074, Board of Forestry regulations phasing in) plus insurer-required Safer from Wildfires verification would put a named human signature on each parcel report; similar rules exist in Colorado (HB24-1091 wildfire resiliency code) and Oregon (SB 762 defensible space code). If the attestation becomes the legal basis for coverage or sale, the signer's exposure and irreplaceability both rise.
Origin-and-cause determinations feeding cost-recovery litigation and criminal arson prosecution require a qualified investigator (NWCG FI-210/wildfire origin & cause) whose findings survive Daubert challenge and cross-examination; as utilities face multibillion-dollar liability suits (PG&E, Xcel Marshall Fire), the investigator of record's personal defensibility of a call under ambiguous burn-pattern evidence becomes the load-bearing element. If agencies formalize an 'investigator of record' role with deposition duty, this rises.
Genuine two-tier structure: if satellite/camera smoke detection (ALERTCalifornia, Pano AI) and automated fire-danger rating absorb the lookout, monitoring, and rating tier, the residual job is contested code enforcement against unwilling landowners, burn-permit judgment calls under marginal conditions, and courtroom-grade origin investigation — a harder task mix. Watch for lookout staffing lines disappearing from agency budgets while inspector FTEs hold.
Little headroom — already 17. Would only rise if defensible-space enforcement expands into dense wildland-urban interface parcels requiring under-deck, crawlspace, and vegetation-canopy inspection that drones cannot resolve.
The limit. Trust premium has no realistic route: buyers are agencies and insurers, not individuals choosing a human, and nobody pays extra for a named prevention specialist. The binding constraint is not capability but headcount — 2,780 workers on discretionary agency budgets. A stronger liability shield could make each remaining position durable while the total shrinks.
| Los Angeles-Long Beach-Anaheim, CA | 130 | $105,460 +85% |
| New York-Newark-Jersey City, NY-NJ | 100 | $58,240 +2% |
| San Francisco-Oakland-Fremont, CA | 60 | $80,100 +41% |
| Fort Collins-Loveland, CO | 50 | $42,160 -26% |
| New Orleans-Metairie, LA | 50 | $102,480 +80% |
| Oklahoma City, OK | 50 | — |
| Sacramento-Roseville-Folsom, CA | 50 | $107,320 +89% |
| Atlanta-Sandy Springs-Roswell, GA | 40 | $51,260 -10% |
| Sacramento-Roseville-Folsom, CA | 50 | $107,320 +89% |
| Los Angeles-Long Beach-Anaheim, CA | 130 | $105,460 +85% |
| New Orleans-Metairie, LA | 50 | $102,480 +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 62. 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.