US dataswitch to UK
Farmworkers, Farm, Ranch, and Aquacultural Animals
feeding and watering livestock and monitoring food and water supplies, mixing feed, additives and medicines in prescribed portions, ordering food for animals and arranging for its delivery and performing duties related to livestock reproduction. If that's your week, this page is about your job.
The honest answer
AI changes the edges of this job, not the middle: feeding and watering livestock and monitoring food and water supplies is work software can't reach.
What shifts is ordering food for animals and arranging for its delivery. This page scores what today's tools actually do, not headlines.
Your week, as this page understands it
Attend to live farm, ranch, open range or aquacultural animals that may include cattle, sheep, swine, goats, horses and other equines, poultry, rabbits, finfish, shellfish, and bees. Attend to animals produced for animal products, such as meat, fur, skins, feathers, eggs, milk, and honey. Duties may include feeding, watering, herding, grazing, milking, castrating, branding, de-beaking, weighing, catching, and loading animals. May maintain records on animals; examine animals to detect diseases and injuries; assist in birth deliveries; and administer medications, vaccinations, or insecticides as appropriate. May clean and maintain animal housing areas. Includes workers who shear wool from sheep and collect eggs in hatcheries. The job title says “farmworkers”, “farm”, “ranch” or “aquacultural animals”: officially one job, several names. The real job is the part underneath: feeding and watering livestock and monitoring food and water supplies. That is the thing someone has to be right about.
The exposed part of this job is specific, and we won’t pretend it is coming back. But farmworkers, farm, ranch, and aquacultural animals is not one task. It is 19 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is feeding and watering livestock and monitoring food and water supplies, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 4%
- changing shape
- 3%
- staying human
- 93%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 5 out of 100 (4–9 allowing for uncertainty): minimal exposure, across 19 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.
How we know this
What is measured: Every published task statement for farmworkers, farm, ranch, and aquacultural animals is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.
How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.
Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.
Your job, task by task
These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.
- One task scored differently between repeat runs, so its range on this page is wider. We would rather show the wobble than hide it.
- 2 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.
Shifting to AI
1 taskTasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.
Ordering food for animals and arranging for its delivery
This is reading one thing and writing another: food in, a record out. That is the shape today's tools are built for.
importance 4 · SupplementalSource: “Order food for animals, and arrange for its delivery.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (60–68 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Ordering feed and booking delivery is ordinary purchasing paperwork that software already handles well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Changing shape
1 taskTasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.
Maintaining growth, feeding, production and cost records
The software now makes the first pass at growth, feeding, production and cost records, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · SupplementalSource: “Maintain growth, feeding, production, and cost records.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (52–60 allowing for uncertainty): partial exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping growth, feed and cost records is straightforward record-keeping that software does reliably.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Staying human
17 tasksTasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.
Feeding and watering livestock and monitoring food and water supplies
This work happens in the physical world: livestock, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Feed and water livestock and monitor food and water supplies.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Feeding and watering animals means carrying feed and checking troughs in person.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Examining animals to detect illness
This work happens in the physical world: animals, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Examine animals to detect illness, injury, or disease, and to check physical characteristics, such as rate of weight gain.” (O*NET task statement)
How this row was scored
Exposure score: 6 out of 100 (0–13 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Spotting a sick animal comes from being with it and handling it, and much of that skill is unwritten.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Inspecting, maintaining and repairing equipment, machinery, buildings, pens, yards and fences
This work happens in the physical world: equipment, machinery, buildings, pens, yards and fences, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Inspect, maintain, and repair equipment, machinery, buildings, pens, yards, and fences.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Fixing fences, pens and machinery is tool-in-hand work out on the farm.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Moving equipment, poultry or livestock from one location to another, manually or using trucks or carts
This work happens in the physical world: equipment, poultry or livestock, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Move equipment, poultry, or livestock from one location to another, manually or using trucks or carts.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Shifting animals or equipment from place to place is lifting and driving work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Segregating animals
This work happens in the physical world: animals, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Segregate animals according to weight, age, color, and physical condition.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Sorting animals by size and condition means moving them yourself through pens and gates.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Herding livestock to pastures for grazing
This work happens in the physical world: livestock, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Herd livestock to pastures for grazing or to scales, trucks, or other enclosures.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–7 allowing for uncertainty): minimal exposure, high confidence, and it moved between repeat runs, so the range is widened.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Moving livestock is physical outdoor work with the animals.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Providing medical treatment
This work happens in the physical world: medical treatment, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Provide medical treatment, such as administering medications and vaccinations, or arrange for veterinarians to provide more extensive treatment.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Giving an animal an injection or treatment is hands-on work with the animal in front of you.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Cleaning stalls, pens and equipment, using disinfectant solutions, brushes, shovels, water hoses or pumps
This work happens in the physical world: stalls, pens and equipment, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Clean stalls, pens, and equipment, using disinfectant solutions, brushes, shovels, water hoses, or pumps.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Shoveling out stalls and washing equipment is physical cleaning that has to be done on site.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Show the other 9 tasks
Driving trucks, tractors and other equipment to distribute feed to animals
staying humanThis work happens in the physical world: trucks, tractors and other equipment, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Drive trucks, tractors, and other equipment to distribute feed to animals.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Driving a tractor or feed truck around the farm is machine operation, not desk work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Mixing feed, additives and medicines in prescribed portions
staying humanThis work happens in the physical world: feed, additives and medicines, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Mix feed, additives, and medicines in prescribed portions.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Mixing feed and additives to a recipe still means shoveling and measuring the real materials.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Marking livestock to identify ownership and grade, using brands, tags, paint or tattoos
staying humanThis work happens in the physical world: livestock, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Mark livestock to identify ownership and grade, using brands, tags, paint, or tattoos.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Branding, tagging or tattooing livestock is physical handling of each animal.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Shifting animals between grazing areas to ensure that they have sufficient access to food
staying humanThis work happens in the physical world: animals, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Shift animals between grazing areas to ensure that they have sufficient access to food.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–7 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Rotating animals between pastures means opening gates and driving stock, even when the plan is written down.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Performing duties related to livestock reproduction
staying humanThis work happens in the physical world: duties, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Perform duties related to livestock reproduction, such as breeding animals within appropriate timeframes, performing artificial inseminations, and helping with animal births.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Breeding work and assisting births is intimate physical handling of animals.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Patrolling grazing lands on horseback or using all-terrain vehicles
staying humanThis work happens in the physical world: lands, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Patrol grazing lands on horseback or using all-terrain vehicles.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Riding or driving out to check grazing land is presence on the land itself.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 0/4.
Grooming clip, trim or castrate animals, dock ears and tails or shear coats to collect hair
staying humanThis work happens in the physical world: clip, trim or castrate animals, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Groom, clip, trim, or castrate animals, dock ears and tails, or shear coats to collect hair.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Clipping, shearing and similar jobs are done with tools directly on the animal.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Spraying livestock with disinfectants and insecticides
staying humanThis work happens in the physical world: livestock, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Spray livestock with disinfectants and insecticides, or dip or bathe animals.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Spraying or dipping livestock means handling the animals and the equipment yourself.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Protecting herds from predators, using trained dogs
staying humanThis work happens in the physical world: herds, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Protect herds from predators, using trained dogs.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Guarding a herd with working dogs depends on being out there with the animals.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 0/4.
What this job pays, and how many people do it
- Median pay
- $36,670a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
- People doing this job
- 32,810in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)
What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.
Why this is shifting
The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: growth, feeding, production and cost records in, a record out. The rows above are exactly that shape: ordering food for animals and arranging for its delivery and maintaining growth, feeding, production and cost records. What it cannot do is be there in the room, and that is still where livestock gets done. Which is why this page talks about your tasks changing, not your job ending.
Your move
Over a pint: what I’d tell you if you were my friend
Start with what does not change: feeding and watering livestock and monitoring food and water supplies is the middle of this job, and the evidence on this page says it stays with a person.
So, given all that: 4% of this job's task weight sits in rows the software is already learning, 3% in rows that change shape rather than disappear, and 93% in rows it is nowhere near. That is the position, measured across 19 scored tasks. It is not a forecast about you.
So the thing worth your attention is not the job going away. It is the layer around it. Ordering food for animals and arranging for its delivery is the part turning into software, and being the person who understands that layer is worth money.
This week: one thing
Ask the one question. Find whoever is bringing new software into your workplace (the manager, the office, whoever runs the system) and ask them what it is meant to do to growth, feeding, production and cost records, and what it is not meant to touch. Ten minutes, this week, before anyone decides it for you.
- What you end up holding
- a straight answer about what is actually being rolled out, and when
- How long it takes
- ten minutes
If there’s nobody obvious to ask, or you’d rather not ask your manager: Put the same question to your union rep, your shift lead or the person who has been there longest, in person, over a break. Same ten minutes, same answer, and you will usually get a straighter one. Write down what they say. The note is the artifact, and it tells you whether livestock is in scope or not. Nothing to log into, no license needed.
Over the next 90 days
Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near maintaining growth, feeding, production and cost records. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.
Over the next 12 months
On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.
The roads out of here, and why I am not sending you down them
I looked at the obvious moves out of this job, and here is what I found.
I checked the 12 nearest US occupations to farmworkers, farm, ranch, and aquacultural animals (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was animal breeders: only about 17% of its durable work is work you already do and there are far fewer of those jobs than of yours. And on the numbers you do not need one. This job scores 5/100 here, with only 4% of the task list in the top band, and “feed and water livestock and monitor food and water supplies” is not work that hands over cleanly. None of them beats deepening what you already have.
How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.
3 moves I checked and rejected
These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.
Animal Breeders
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already examine animals to detect illness, injury, or disease, and to check physical characteristics, and their equivalent is to examine animals to detect symptoms of illness or injury. Across both published task lists that is about 17% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 17% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. And it is a narrow door: about 1,330 of those jobs against 32,810 of yours (OEWS May 2025), 4% as many seats.
Animal Caretakers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already examine animals to detect illness, injury, or disease, and to check physical characteristics, and their equivalent is to examine and observe animals to detect signs of illness, disease, or injury. Across both published task lists that is about 8% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 8% of the durable side of that job. That is a different job, not a next step.
Veterinary Assistants and Laboratory Animal Caretakers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already examine animals to detect illness, injury, or disease, and to check physical characteristics, and their equivalent is to examine animals to detect behavioral changes or clinical symptoms that could indicate illness…. Across both published task lists that is about 4% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 4% of the durable side of that job. That is a different job, not a next step.
What I’d stop worrying about
A friend tells you what not to spend fear on. This is that list.
The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 4% of its task weight, across 19 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The headlines about your trade disappearing
They are usually about the technology, not the timetable. Changes to work like feeding and watering livestock and monitoring food and water supplies arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.
You are reading the United States figures
The United Kingdom splits this work across more than one official group, of which Farm workers is the closest. The pay and employment figures are not directly comparable, and we do not average them together.
Switch to the United Kingdom page →partial match
The other groups this work is counted across:
In UK official statistics this job is counted as Farm workers and Farmers. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.
Your route through this
Where to go next, and what it costs
Free, and complete
The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.
Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
Free
Why there is no community here
Collab365, who build this site, run paid Spaces for a small number of subjects, and none of them is built for this job. We are not going to point you at the nearest one and call it a fit.
So the free services listed on this page are the whole answer, and it is the same answer we would give a friend.
Noted, and thank you. We’ll email you if a Space for farmworkers / farm / ranch / aquacultural animals launches. Nothing else.
That did not look like an email address, so nothing was saved. Have another go below.
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No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.
Questions people ask about this job
- Will AI replace Farmworkers, Farm, Ranch, and Aquacultural Animals?
- Not as a job, but it is already doing parts of the work. Across the 19 official task statements scored for Farmworkers, Farm, Ranch, and Aquacultural Animals (United States, SOC 45-2093), 4% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 5 out of 100 (range 4–9, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
- Which tasks in “Farmworkers, Farm, Ranch, and Aquacultural Animals” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Order food for animals, and arrange for its delivery” (64/100, high); “Maintain growth, feeding, production, and cost records” (56/100, partial); “Examine animals to detect illness, injury, or disease, and to check physical characteristics, such as rate of weight gain” (6/100, minimal). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
- Which tasks in “Farmworkers, Farm, Ranch, and Aquacultural Animals” stay human?
- About 93% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Protect herds from predators, using trained dogs” (0/100, minimal); “Spray livestock with disinfectants and insecticides, or dip or bathe animals” (0/100, minimal); “Groom, clip, trim, or castrate animals, dock ears and tails, or shear coats to collect hair” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
- What should someone working in “Farmworkers, Farm, Ranch, and Aquacultural Animals” do about AI?
- Start from the ledger rather than the headline: 4% of this job's weighted core work is exposed, and roughly 93% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
- How is the AI exposure score for Farmworkers, Farm, Ranch, and Aquacultural Animals calculated?
- Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 19 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.
Where these numbers come from
About the data on this page
- One task scored differently between repeat runs, so its range on this page is wider. We would rather show the wobble than hide it.
- The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
- 2 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.
- Task statements
- onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
- Task weights
- onet-db (im-rt)
- Scores
- Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
- Pay and employment
- bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))
Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.
The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.
The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.
Using these figures?
Cite this
Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.
Plain text
Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).
BibTeX
@misc{collab365futureproof2026q41,
title = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
author = {{Collab365}},
year = {2026},
url = {https://futureproof.collab365.com/data/2026-q4.1},
note = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}Data as of release 2026-q4.1, published . Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.