EXPOSED
Driving tractors, combines, and sprayers across mapped fields is the single most advanced target in agricultural robotics — GPS auto-steer, section control, and yield-mapping already do the steering and rate decisions, and driverless tillage and spraying rigs are in commercial pilots. What resists is everything around the seat: hitching and calibrating implements, clearing plugged headers, field-side hydraulic and belt repairs, reading soil moisture and crop condition to decide whether to run at all. There is no license and no client relationship protecting this role, so the moat is purely mechanical dexterity in mud and dust — and headcount per acre keeps falling.
Dipped in 2020, then grew past where it started.
Median pay $31,950 → $41,730 +4.5% 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
+7.7%
Percentage only. The projection counts a different population from the 28,500 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +7.7% more of these jobs by 2034. Demand for the output is growing faster than the work is being automated away — the mechanism BLS gives for software developers, and the combination people most often misread as an error.
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.
~10,500 openings a year on average, including replacing people who leave.
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Holding it up: embodiment . Weakest point: trust premium .
Mixed — a routine tier and a judgment tier Auto-steer and section control already handle the line-following and rate math that used to define the job, but a 13 reflects that the same shift still ends with you under the combine unplugging a rock-jammed feeder house, swapping shear bolts, re-timing a planter meter, and greasing forty zerks — tasks nobody has built a machine to do.
Hands-on in uncontrolled environments A 15 is where you land when the work is climbing in and out of cabs in 95-degree dust, hitching PTO shafts and hydraulic couplers in a muddy headland, unrolling silage tarps, and jumping a dead battery two miles from the shop — uncontrolled ground and weather, but still with a seat, a cab, and a defined field boundary rather than open-ended terrain.
No licence, no signature requirement A 3 acknowledges the only credential in your wallet may be a CDL for road-moving equipment or a state pesticide applicator card if you run the sprayer — neither is a personal license to operate a tractor, and when a drift complaint or a tile-line strike happens the farm operator or custom applicator carries it, not you.
Meaningful discretion A 7 credits the calls that are genuinely yours — whether the ground is fit to run or you'll rut it, when the moisture is right to start shelling, dropping ground speed when the header starts feeding heavy — but the agronomic decisions on seed, rate, chemical, and timing come to you as a prescription file or a spoken instruction from the operator or agronomist.
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 (3/20) is whether the law requires a licensed human to sign. Trust premium (3/20) is whether buyers specifically pay for a person. Judgment and accountability (7/20) 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 13 of this occupation's 41 points (32%).
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 60/100, still EXPOSED.
Task-mix shift as autonomy takes the seat: the surviving job becomes implement setup, in-field mechanical repair, plug clearing, calibration and supervising multiple machines — the tier current AI cannot do. Watch for John Deere/Case autonomous kits shipping at scale while dealer and farm job postings shift to 'autonomy technician / machine supervisor' language.
A pesticide-application rule requiring a certified applicator physically present and personally responsible for each autonomous spray pass — EPA FIFRA certified-applicator supervision rules and state lead-agency guidance on driverless sprayers are the live venue; several states have not yet defined whether 'direct supervision' permits a remote operator. If 'present in the field, one machine at a time' is codified, this rises sharply.
Road-transit and public-safety rules: state DOT requirements that a licensed human be aboard or immediately trailing any self-propelled machine crossing or traveling public roads (already the default in most state implement-of-husbandry statutes). Enforcement rather than exemption would preserve a required-human seat even where field work is autonomous.
Insurer conditions: crop and equipment underwriters (Rain and Hail, Farm Bureau mutuals) requiring a named human operator-of-record who signs off on go/no-go decisions — running on wet soil, spraying near drift-sensitive neighbors, harvest moisture calls — as a condition of coverage on autonomous fleets. Watch for autonomy exclusions or operator-attestation endorsements appearing in ag equipment policies.
Rise only in the sense that the remaining share of the day is mud-and-dust dexterity (unplugging a combine header, replacing a bearing in a wet field, hydraulic hose failures) with the seat-time removed. Same task-mix mechanism, not a new capability barrier.
The limit. Trust premium has no realistic route — grain and produce buyers pay for commodity specs, not for who sat in the cab, and no certification scheme markets human-operated tillage. Headcount is the binding problem regardless of scores: one supervisor per fleet means the per-acre labor requirement keeps falling even if each remaining job is harder to automate.
| Fresno, CA | 910 | $36,650 -12% |
| Bakersfield-Delano, CA | 700 | $36,930 -12% |
| Salinas, CA | 680 | $38,740 -7% |
| Visalia, CA | 650 | $36,130 -13% |
| Napa, CA | 590 | $47,880 +15% |
| Santa Maria-Santa Barbara, CA | 460 | $41,910 +0% |
| Stockton-Lodi, CA | 390 | $37,810 -9% |
| Chicago-Naperville-Elgin, IL-IN | 360 | $47,080 +13% |
| Cincinnati, OH-KY-IN | 50 | $54,380 +30% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 180 | $53,680 +29% |
| Lafayette-West Lafayette, IN | 30 | $52,100 +25% |
Tech Times reports the UK government opened a £20 million funding round for farm automation technology, framed as addressing post-Brexit agricultural labour shortages.
CBS News reported that a Colorado farm has deployed agricultural robots to reduce costs while retaining its existing workforce.
FarmingUK reports a trial on a fruit farm testing robots for harvest logistics tasks.
Agriland reports a German vegetable farmer co-developed and uses a laser weeding robot intended to reduce manual weeding labour costs.
Future Farming reports a German organic grower has developed a laser weeding robot intended to reduce roughly €200,000 in annual manual weeding labour costs.
VentureBeat reports that Burro, an autonomous agricultural robot, is being used in vineyards to carry harvested grapes alongside human field workers.
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