EXPOSED
This is a catch-all bucket — irrigation setup, hand-weeding, sorting and grading produce, animal handling, equipment tending, seasonal field labor — and almost none of it is text or screen work, so language models barely touch it. The real exposure is mechanical: autonomous tractors, GPS-guided sprayers, robotic weeders and optical sorters are commercially deployed right now, and they target exactly the repetitive field and packhouse tasks that define the modal worker here. There is no license, no signature requirement, and no customer paying for a relationship, so nothing slows substitution except capital cost and crop geometry.
Most of this decline happened after 2021 — it is not the pandemic dip.
Median pay $29,590 → $39,850 +7.7% 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
+2.3%
Percentage only. The projection counts a different population from the 3,620 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Growing, and only partly exposed
The BLS expects +2.3% more of these jobs by 2034, and at 46/100 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.
~1,500 openings a year on average, including replacing people who leave.
RiderScoutCanterChokerCutterDoggerDriverFeederGopherPullerSniperBrusherCatcherChainerChopperClimberLaborerScalperSkidderSkinnerSlipperSnubberSpudderStumper
The BLS uses Agricultural Workers, All Other for work that doesn't fit any named occupation, so it covers roles that have little in common with each other. Two consequences worth knowing before you read anything below:
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Setting irrigation lines across uneven ground, hand-pulling weeds between close-spaced rows, catching and restraining animals, and clearing jammed equipment are all judged by touch and eye in the moment — a 15 rather than 18 because the packhouse sorting and grading portion of this bucket is already being done by optical graders on commercial lines.
Hands-on in uncontrolled environments The work is outdoors in mud, heat, dust and livestock pens, on terrain no rail or gantry can be built over, with tasks that require bending into a crop canopy and gripping wet or living material — the 18 rather than 20 reflects the share of this SOC working inside sheds, greenhouses and packing rooms where conditions are at least partly controlled.
No licence, no signature requirement No state licence, no certification exam, and no signature on any document — the 2 rather than 0 acknowledges pesticide-handler cards and worker protection standard training that some of these jobs require before a worker can be sent into a treated field.
Meaningful discretion Calls like when a plant is ready to cut, whether an animal is off-feed, or when a hose fitting is about to fail are real and made unsupervised — but they sit at 7 because the decisions are within a day's crop or one animal, and the crew leader or grower owns anything with money or safety attached.
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 (2/20) is whether the law requires a licensed human to sign. Trust premium (4/20) 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 46 points (28%).
Embodiment (18/20) 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 61/100, still EXPOSED.
Displacement of machine-friendly crops (row vegetables, tree nuts, wheat) leaves the remaining hand-work concentrated in geometries robots still fail at: steep-slope vineyards, greenhouse trellis pruning, mixed-species organic beds, live animal handling in unpredictable pens. Watch USDA specialty-crop labor surveys and grower reports of robotic weeder failure rates in high-density diversified plantings.
Third-party certification schemes that require documented human handwork or human animal handling — Certified Humane / GAP Step 4+ pasture handling, Demeter Biodynamic, some organic hand-weeding attestations — attach a price premium to labor practice, not just crop. This is a premium paid to the farm, though, not to the worker, so the pass-through is weak.
A pesticide-applicator or biosecurity rule requiring a certified individual physically present and personally accountable for each autonomous application or animal-movement event — analogous to EPA Worker Protection Standard handler certification, or USDA APHIS foreign-animal-disease traceability requirements after an HPAI or FMD incident. Also watch state autonomous-tractor rules (California Cal/OSHA has long barred driverless operation of ag equipment without an attendant; Title 8 §3441(b)) which effectively require a named human in the field.
Task-mix shift: the occupation genuinely has two tiers. If optical sorters and autonomous sprayers take the repetitive tier, what remains is machine tending, fault diagnosis, calibration, and exception handling — plus organic-certification handwork that must not be chemically or mechanically treated. Watch job postings that merge 'ag worker' with 'field robotics technician' at operations like Driscoll's or Bowery-style controlled-ag firms.
If irrigation-allocation and water-curtailment regimes (SGMA groundwater allocations in California, Colorado River cuts) push per-plot water decisions onto whoever is physically present, the irrigation-setup role starts owning consequential, auditable calls under ambiguity rather than executing a schedule.
The limit. Even with every lever, this stays mid-band. It is a residual bucket defined by what did not fit elsewhere, and the levers that work best (licensing, judgment) attach to individuals who then get reclassified out of 45-2099 into supervisor or technician codes — so the code itself can shrink while the surviving work looks more resistant. Trust premium has no real route to the worker: buyers pay farms, not field hands, and there is no relationship a customer is purchasing.
| Bakersfield-Delano, CA | 150 | $34,320 -14% |
| Fresno, CA | 110 | $49,680 +25% |
| Baltimore-Columbia-Towson, MD | 90 | $36,680 -8% |
| Los Angeles-Long Beach-Anaheim, CA | 90 | $56,840 +43% |
| San Juan-Bayamon-Caguas, PR | 90 | $25,720 -35% |
| Knoxville, TN | 60 | $33,680 -15% |
| Nashville-Davidson--Murfreesboro--Franklin, TN | 60 | $29,090 -27% |
| Riverside-San Bernardino-Ontario, CA | 60 | $59,670 +50% |
| Sacramento-Roseville-Folsom, CA | 50 | $67,900 +70% |
| Riverside-San Bernardino-Ontario, CA | 60 | $59,670 +50% |
| Los Angeles-Long Beach-Anaheim, CA | 90 | $56,840 +43% |
Robotics & Automation News reports that Eternal.ag is scaling fully-autonomous harvesting robots with its first customer, Van Noord Growers.
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.