EXPOSED
The core of this job — mixing chemicals to label rates, hauling and calibrating spray equipment, walking turf, roadsides, and rights-of-way, and treating uneven terrain around obstacles — is physical work in uncontrolled outdoor environments that no current robot does end to end. A state-issued commercial applicator license and personal liability for drift, misapplication, and restricted-use chemicals put a named human on the ticket. The real exposure is not language AI but machinery: GPS-guided boom sprayers, drone applicators, and computer-vision spot-spray rigs cut crew-hours per acre, and the paperwork half of the job (application logs, target/weather records, compliance reports) is already software.
Roughly flat across the period, with year-to-year wobble.
Median pay $35,840 → $46,340 +3.4% 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% 29,600 → 30,700 on the projections basis
Growing, and only partly exposed
The BLS expects +3.8% more of these jobs by 2034, and at 64/100 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.
~4,100 openings a year on average, including replacing people who leave.
SprayerFumigatorApplicatorEradicatorSpray MixerHand SprayerPest LocatorWeed SprayerFruit SprayerPlant SprayerWeed InspectorCrop ApplicatorLawn SpecialistLawn TechnicianOrchard SprayerPest TechnicianWeed ControllerWeed EradicatorKnapsack SprayerSpray ApplicatorSpray TechnicianCustom ApplicatorHerbicide SprayerApplicator Sprayer
Holding it up: embodiment . Weakest point: trust premium .
Tasks largely resist digitisation Calibrating a boom, checking nozzle output, mixing to a label rate in a tank, then walking a fenceline or median with a backpack sprayer around signs, culverts, and parked cars is not work a model does — a 15 rather than 18 because the record-keeping, route planning, and weather-window decisions that fill the rest of your day are already being done by software.
Hands-on in uncontrolled environments You are outdoors in PPE in whatever heat and wind the day gives you, dragging hose, loading 2.5-gallon jugs, and treating slopes and ditches where a wheeled rig can't go — 17 rather than 20 because a meaningful share of applications happen from a seat on a truck or ATV on maintained ground.
Licensed human required and personally liable Your state commercial applicator license, category-specific and renewed on CEUs, is what makes an application legal, and FIFRA and state drift statutes let the department fine or suspend the person whose number is on the record — 14 rather than 18 because in many jobs the employer holds the business license and a licensed supervisor can cover a trained non-certified handler.
Meaningful discretion You decide whether wind speed and inversion conditions make the day a no-spray, whether that stand is knapweed or a native, and how much to back off near open water or a school — 10 rather than 15 because the label is a legal ceiling that removes most of the dosing discretion and the crew lead sets the target list.
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 (15/20 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 (14/20) 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 (10/20) 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 64 points (50%).
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 pesticide handlers, sprayers, and applicators, vegetation 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 80/100 — SAFE.
Task-mix shift is real here: this job has a routine tier (walk the boom, pull the trigger) and a judgment tier (read wind/inversion conditions, decide go/no-go, pick product and rate for resistance and off-target risk, handle sensitive-site and endangered-species buffers under EPA's Endangered Species Protection Bulletins). If autonomous rigs take the routine tier, the remaining role is the licensed decision-maker who owns drift and misapplication calls
FAA and state lead-agency rules for drone/UAS aerial application already require a Part 137 agricultural aircraft operator certificate plus a licensed applicator of record; if states extend the 'certified applicator must be physically present and personally sign the application record' requirement to autonomous ground and drone spot-spray rigs (as California DPR and several state lead agencies have debated for UAS restricted-use applications), the named human stays on every ticket regardless of who pulls the trigger
Insurer requirement: pesticide-drift claims are a live liability line, and if crop/environmental liability carriers begin conditioning coverage on a documented human-signed pre-application site assessment (as some applicator liability programs already do for dicamba-era drift claims), the consequential call is formally owned
EPA label language itself is the lever: registrants adding 'apply only under the direct supervision of a certified applicator' and drift-management/buffer statements to more product labels makes the license a per-container legal requirement, not a job-title convention
Restricted-use and fumigant work (soil fumigation, structural, right-of-way near water) carries handler PPE, respirator-fit, and closed-system mixing requirements under the EPA Worker Protection Standard that no autonomous rig currently satisfies; if the automatable open-turf boom work is what leaves first, the residual mix is these harder categories
The limit. No plausible route to a higher trust_premium: buyers of vegetation management (DOTs, utilities, municipal parks, HOAs) procure on lowest bid per acre and compliance paperwork, and there is no consumer-visible preference for a human sprayer. Embodiment is near its practical ceiling and is the dimension most directly eroded by drone and vision-guided spot-spray hardware — the levers above shift where the human sits, not how many are needed per acre.
| Miami-Fort Lauderdale-West Palm Beach, FL | 870 | $46,210 +0% |
| Tampa-St. Petersburg-Clearwater, FL | 440 | $41,390 -11% |
| Denver-Aurora-Centennial, CO | 430 | $50,150 +8% |
| Los Angeles-Long Beach-Anaheim, CA | 430 | $48,140 +4% |
| Indianapolis-Carmel-Greenwood, IN | 330 | $51,220 +11% |
| Boise City, ID | 320 | $47,630 +3% |
| Houston-Pasadena-The Woodlands, TX | 320 | — |
| Minneapolis-St. Paul-Bloomington, MN-WI | 320 | $47,560 +3% |
| Portland-Vancouver-Hillsboro, OR-WA | 100 | $58,550 +26% |
| Columbus, OH | 70 | $55,830 +20% |
| Seattle-Tacoma-Bellevue, WA | 110 | $54,530 +18% |
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 64. 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.