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.
Part 2020 shock, part continued decline in the years since.
Median pay $27,830 → $36,670 +5.4% 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
-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.
RiderCowboyDipperFarmerHerderLamberLoaderMilkerPickerBottlerChopperDitcherFarmingGroomerHandlerMilkmanRancherSpoonerTrimmerVaqueroDairymanDebeakerHandymanHerdsman
Holding it up: embodiment . Weakest point: liability shield .
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.
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.
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.
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.
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 (17/20 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 (6/20) 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 18 of this occupation's 54 points (33%).
Embodiment (19/20) 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 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:
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 68/100 — SAFE.
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
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
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
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.
| 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% |
| 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% |
South Mountain Creamery · Morrison dairy farm, Armoy
Technical.ly reports that South Mountain Creamery has installed dairy robots, framed as addressing labor shortages and supporting expansion.
Farming Life reports that a dairy farm run by the Morrison family in Armoy, Northern Ireland, has adopted automation in its milking and farm operations.
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.