← Risk register SOC 45-2093 · reviewed 2026-08-11

Farmworkers, Farm, Ranch, and Aquacultural Animals

32,810 US workers · median $36,670/yr · Agriculture

EXPOSED

Feeding, herding, calving assistance, hoof and udder care, pen cleaning, and net-pen work happen in mud, weather, and around 1,400-pound animals that behave unpredictably — language models do none of it and general-purpose robots are nowhere close. The real pressure is not chatbots but purpose-built farm capital: robotic milking parlors, automated feed pushers, sensor-based heat and illness detection, and automated aquaculture feeders that cut headcount per animal without needing to replicate a human body. There is no license protecting the role and no client paying for a relationship, so when a dairy installs robots the job count falls even though the remaining work stays stubbornly hands-on.

10-year outlook: The work itself stays physical and unautomatable, but robotic milking and automated feed and monitoring systems will keep shrinking workers-per-animal, pushing the surviving jobs toward animal-health specialists and equipment technicians.

US employment, 2019–2025-10.4%
36,63032,810 workers

Part 2020 shock, part continued decline in the years since.

Median pay $27,830 → $36,670 +5.4% in real terms (nominal +31.8%, less ~25% US inflation over the period)

The job count is not the verdict

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

-5%

Percentage only. The projection counts a different population from the 32,810 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.

Shrinking, but not obviously because of AI

The BLS projects -5% by 2034, but at 54/100 this work is only moderately exposed — not the profile of a job current AI can simply do. Occupations shrink for many reasons, and the score does not point at automation as this one's cause.

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.

~31,200 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

RiderCowboyDipperFarmerHerderLamberLoaderMilkerPickerBottlerChopperDitcherFarmingGroomerHandlerMilkmanRancherSpoonerTrimmerVaqueroDairymanDebeakerHandymanHerdsman

Score — 54/100 resistance

Holding it up: embodiment (19/20). Weakest point: liability shield (2/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 17 + 19 + 2 + 6 + 10 = 54. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 17/20

Tasks largely resist digitisation Pulling a malpresented calf, catching and treating a lame heifer in a muddy alley, or diving to patch a torn net pen require force, grip, and improvised positioning that no software performs — the 17 rather than 20 reflects that milking, feed delivery, and mortality/illness flagging, which are genuinely large slices of the day, are already being done by robotic parlors, feed pushers, rumination collars, and automated aquaculture feeders.

Embodiment 19/20

Hands-on in uncontrolled environments This is an outdoor job with no controlled version of itself: ice, manure, 100°F barns, crowding gates, boat decks and cages, and animals that kick and crush — 19 rather than 20 only because a share of hours goes to records, ration mixing, and parlor monitoring under a roof.

Liability shield 2/20

No licence, no signature requirement No license, no board, no exam stands between anyone and this job; the herd owner or farm operator carries the FDA/VFD authority over drug use and the veterinarian signs off on protocols, so a worker who administers the injection bears no personal legal exposure and can be replaced by anyone hired that morning.

Trust premium 6/20

Some relationship component Nobody buys the milk or the fish because of who fed them, but the 6 is not a 0 — livestock recognize and settle for the handler who moves them daily, and an owner who has watched someone read a cow going off feed will keep that person over a new hire, which is relationship value inside the farm rather than with a customer.

Judgment & accountability 10/20

Meaningful discretion Deciding at 2 a.m. whether a calving needs the vet, whether a downer cow is worth lifting, or whether a mortality spike in a pen means water quality or disease are real unsupervised calls with money and animal lives attached, but most of the shift runs on written feeding rates, milking routines, and withdrawal periods set by someone else, which keeps this at 10 rather than in the ownership band.

Confidence: high · reviewed 2026-08-11 · how scoring works

What this job involves — and which parts are yours

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.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, physical-presence

How to future-proof this job

Where to go deeper on what this job runs on: Coursera — critical thinking and logic, audit free free to audit · edX — performance measurement and evaluation free to audit · Coursera — active listening and communication skills free to audit · edX — operations management and process monitoring courses free to audit · OSHA Outreach Training — the 10- and 30-hour cards most employers ask for low · Coursera — decision making under uncertainty free to audit

All 35 skills ranked by how many jobs they open →

Where this experience transfers — nothing clears the bar

No occupation passed every test: close enough to farmworkers, farm, ranch, and aquacultural animals 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:

Farmworkers and Laborers, Crop, Nursery, and Greenhouse EXPOSED 45/100 (-9) · 75% overlap
Agricultural Equipment Operators EXPOSED 41/100 (-13) · 74% overlap
Rail-Track Laying and Maintenance Equipment Operators EXPOSED 63/100 (+9) · 72% overlap

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.

What would move this occupation up is the other direction, and on this page it's the more useful one.

What would move this back up — beyond any one person

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 68/100 — SAFE.

4 specific changes that would raise this score
  • already happening judgment accountability +4

    As feeding, milking and monitoring get automated, the residual role becomes exception handling: dystocia calls, deciding to cull or treat, responding to sensor alerts before a vet arrives, disease-outbreak triage in avian flu / ASF events. Herdsperson-type roles that own those calls under a signed welfare protocol carry real accountability; if the job title consolidates into that tier, 10 rises toward 14

  • already happening task resistance +2

    Two-tier shift: the routine tier (feed delivery, milking, pen scraping, aquaculture feeding) is exactly what capital automates, leaving calving, hoof care, sick-animal handling, fence and net-pen repair in weather — work no robot line addresses. Task_resistance for those who remain edges up even as headcount falls

  • plausible liability shield +5

    Animal-welfare or biosecurity rules that require a named, trained stockperson on site — e.g. the EU-style 'attendant/competent person' requirement, or FDA/state Veterinary Feed Directive and antibiotic-administration rules requiring a documented human handler; a USDA rule making a certified livestock caretaker personally responsible for euthanasia and downer-animal decisions in audited programs (FARM Program, GAP) would push this from 2 toward 6-8

  • plausible trust premium +3

    Certified pasture-raised / Animal Welfare Approved / Certified Humane labels that specify human stockmanship and prohibit fully automated confinement handling let buyers pay for a human caretaker; expansion of these audited premium channels moves 6 toward 9

The limit. Embodiment is already 19 and cannot meaningfully rise. The core threat is headcount-per-animal, not task substitution: every lever here protects the residual judgment tier without protecting the number of jobs. A dairy going robotic still cuts the crew even if the remaining herdsperson scores higher on all three institutional dimensions.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 124 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

Los Angeles-Long Beach-Anaheim, CA 610 $37,720 +3%
Dallas-Fort Worth-Arlington, TX 600 $35,030 -4%
Kansas City, MO-KS 470 $35,710 -3%
Houston-Pasadena-The Woodlands, TX 460 $35,850 -2%
Lancaster, PA 430 $36,670 +0%
New York-Newark-Jersey City, NY-NJ 420 $38,350 +5%
Seattle-Tacoma-Bellevue, WA 410 $44,930 +23%
San Francisco-Oakland-Fremont, CA 380 $44,300 +21%

Best paid

Salinas, CA 70 $62,540 +71%
Wenatchee-East Wenatchee, WA 50 $59,900 +63%
Washington-Arlington-Alexandria, DC-VA-MD-WV 290 $50,100 +37%

Percentages are against this occupation's national median of $36,670. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this

The score above is about what the work exposes. This is reporting about real deployments in this occupation — the difference between "could be automated" and "somebody automated it."

South Mountain Creamery · Morrison dairy farm, Armoy

2 of 2 reported cases, with sources

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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Kept current

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