Will AI replace Animal Caretakers?

Not as a job, but it is already doing parts of the work. Across the 22 official task statements scored for Animal Caretakers (United States, SOC 39-2021), 5% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 16 out of 100 (range 13–21, 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 “Animal Caretakers” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Answer telephones and schedule appointments” (79/100, high); “Respond to questions from patrons, and provide information about animals, such as behavior, habitat, breeding habits, or facility activities” (43/100, partial); “Collect and record animal information, such as weight, size, physical condition, treatments received, medications given, and food intake” (38/100, low). 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 “Animal Caretakers” stay human?

About 88% 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: “Do facility laundry and clean, organize, maintain, and disinfect animal quarters, such as pens and stables, and equipment, such as saddles and bridles” (0/100, minimal); “Train animals to perform certain tasks” (0/100, minimal); “Install, maintain, and repair animal care facility equipment, such as infrared lights, feeding devices, and cages” (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 “Animal Caretakers” do about AI?

Start from the ledger rather than the headline: 5% of this job's weighted core work is exposed, and roughly 88% 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 Animal Caretakers 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 22 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.

US dataswitch to UK

Animal Caretakers

feeding and watering animals according to schedules and feeding instructions, transferring animals between enclosures to facilitate breeding and performing animal grooming duties. 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 animals according to schedules and feeding instructions is work software can't reach.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 5%
changing shape: 7%
staying human: 88%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 16 out of 100 (13–21 allowing for uncertainty): minimal exposure, across 22 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 animal caretakers 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 2026-08-04. Read the full method.

What shifts is answering telephones and scheduling appointments: the overhead at the edges, not the middle you trained for.

Your week, as this page understands it

Feed, water, groom, bathe, exercise, or otherwise provide care to promote and maintain the well-being of pets and other animals that are not raised for consumption, such as dogs, cats, race horses, ornamental fish or birds, zoo animals, and mice. Work in settings such as kennels, animal shelters, zoos, circuses, and aquariums. May keep records of feedings, treatments, and animals received or discharged. May clean, disinfect, and repair cages, pens, or fish tanks. The job title says “animal caretakers”. The real job is the part underneath: feeding and watering animals according to schedules and feeding instructions. 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 animal caretakers is not one task. It is 22 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is feeding and watering animals according to schedules and feeding instructions, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 5%
changing shape: 7%
staying human: 88%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

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 2026-08-04. 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.

3 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 task

Tasks 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.

Answering telephones and scheduling appointments
This is reading one thing and writing another: telephones in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Answer telephones and schedule appointments.” (O*NET task statement)
How this row was scored
Exposure score: 79 out of 100 (75–83 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: Answering calls and booking appointments is a routine scheduling job software already handles for many businesses.
The five ratings: output a model can produce 4/4 · 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 task

Tasks 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.

Responding to questions from patrons
The software now makes the first pass at questions, but part of it still happens in the physical world. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Respond to questions from patrons, and provide information about animals, such as behavior, habitat, breeding habits, or facility activities.” (O*NET task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Facts about animals and facility activities are abundantly documented, though visitors usually ask whoever is standing nearby.
The five ratings: output a model can produce 4/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.

Staying human

20 tasks

Tasks 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.

Examining and observing animals to detect signs of illness
This work happens in the physical world: animals, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Examine and observe animals to detect signs of illness, disease, or injury.” (O*NET task statement)
How this row was scored
Exposure score: 11 out of 100 (7–15 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Spotting illness relies on being with the animal and noticing how it looks, moves and behaves.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Feeding and watering animals according to schedules and feeding instructions
This work happens in the physical world: animals, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Feed and water animals according to schedules and feeding instructions.” (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: Carrying and putting out feed and water is physical work in the yard.
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.
Doing facility laundry and clean, organize, maintain and disinfect animal quarters, such as pens and stables and equipment, such as saddles and bridles
This work happens in the physical world: facility laundry, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Do facility laundry and clean, organize, maintain, and disinfect animal quarters, such as pens and stables, and equipment, such as saddles and bridles.” (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: Cleaning, disinfecting and maintaining pens, stables and equipment is entirely physical 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.
Providing treatment to sick or injured animals
This work happens in the physical world: treatment, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Provide treatment to sick or injured animals, or contact veterinarians to secure treatment.” (O*NET task statement)
How this row was scored
Exposure score: 5 out of 100 (1–9 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Treating a sick animal is hands-on, and anything beyond basic care is a vet's job by law.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Mixing food, liquid formulas, medications or food supplements according to instructions, prescriptions and knowledge of animal species
This work happens in the physical world: food, liquid formulas, medications or food supplements, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Mix food, liquid formulas, medications, or food supplements according to instructions, prescriptions, and knowledge of animal species.” (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, formulas and medication is physical preparation 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 2/4.
Collecting and recording animal information
This work happens in the physical world: animal information, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Collect and record animal information, such as weight, size, physical condition, treatments received, medications given, and food intake.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (34–42 allowing for uncertainty): low exposure, high confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Recording weights, treatments and food intake is straightforward record keeping, though someone must be present to take the readings.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Exercising animals to maintain their physical and mental health
This work happens in the physical world: animals, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Exercise animals to maintain their physical and mental health.” (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: Exercising animals means being with them and moving them about.
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.
Performing animal grooming duties, such as washing, brushing, clipping and trimming coats, cutting nails and cleaning ears
This work happens in the physical world: animal grooming duties, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Perform animal grooming duties, such as washing, brushing, clipping, and trimming coats, cutting nails, and cleaning ears.” (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: Washing, clipping and trimming an animal is done entirely by hand.
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.

Show the other 12 tasks

Adjusting controls to regulate specified temperature and humidity of animal quarters
staying human
This work happens in the physical world: controls, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Adjust controls to regulate specified temperature and humidity of animal quarters, nurseries, or exhibit areas.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Temperature and humidity settings are increasingly managed by digital controls, though older setups still need someone on site.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Advising pet owners on how to care for their pets' health
staying human
The value here is that a specific person handles pet owners and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Advise pet owners on how to care for their pets' health.” (O*NET task statement)
How this row was scored
Exposure score: 34 out of 100 (27–41 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Everyday pet health advice is well documented, though owners tend to trust guidance from a person who has seen their animal.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Selling pet food and supplies
staying human
This work happens in the physical world: pet food, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Sell pet food and supplies.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Product information and sales records are easy to handle in software, though counter sales happen with the customer present.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Discussing with clients their pets' grooming needs
staying human
This work happens in the physical world: clients their pets' grooming needs, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Discuss with clients their pets' grooming needs.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Grooming conversations happen with the animal present, where its coat and temperament are part of the discussion.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Ordering unload and storing feed and supplies
staying human
This work happens in the physical world: unload, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Order, unload, and store feed and supplies.” (O*NET task statement)
How this row was scored
Exposure score: 19 out of 100 (15–23 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Placing orders is a system task, but unloading and storing feed and supplies is physical work.
The five ratings: output a model can produce 3/4 · 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 3/4.
Finding homes for stray or unwanted animals
staying human
This work happens in the physical world: homes, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Find homes for stray or unwanted animals.” (O*NET task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Records help narrow the choice, but home visits and meeting adopters still need a person.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Cleaning and disinfecting surgical equipment
staying human
This work happens in the physical world: surgical equipment, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Clean and disinfect surgical equipment.” (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: Cleaning and disinfecting surgical instruments is physical 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 2/4.
Observing and cautioning children petting and feeding animals in designated areas to ensure the safety of humans and animals
staying human
This work happens in the physical world: children, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Observe and caution children petting and feeding animals in designated areas to ensure the safety of humans and 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: Keeping children and animals safe around each other means being there watching them.
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.
Anesthetizing and inoculating animals, according to instructions
staying human
This work happens in the physical world: animals, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Anesthetize and inoculate animals, according to instructions.” (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: Anaesthetising and inoculating animals is done by hand 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 2/4.
Transferring animals between enclosures to facilitate breeding
staying human
This work happens in the physical world: animals, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Transfer animals between enclosures to facilitate breeding, birthing, shipping, or rearrangement of exhibits.” (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: Moving animals between enclosures is physical handling.
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.
Installing, maintaining and repairing animal care facility equipment, such as infrared lights, feeding devices and cages
staying human
This work happens in the physical world: animal care facility equipment, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Install, maintain, and repair animal care facility equipment, such as infrared lights, feeding devices, and cages.” (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: Installing and repairing cages, lights and feeders is practical maintenance 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 2/4.
Training animals to perform certain tasks
staying human
This work happens in the physical world: animals, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Train animals to perform certain tasks.” (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: Training an animal depends on being with it and responding to what it does.
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.

What this job pays, and how many people do it

Median pay: $35,360a 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: 266,910in 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: telephones in, a record out. The rows above are exactly that shape: answering telephones and scheduling appointments and responding to questions from patrons. What it cannot do is be there in the room, and that is still where animals get 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 animals according to schedules and feeding instructions is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 5% of this job's task weight sits in rows the software is already learning, 7% in rows that change shape rather than disappear, and 88% in rows it is nowhere near. That is the position, measured across 22 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. Answering telephones and scheduling appointments 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 telephones, 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 animals are 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 responding to questions from patrons. 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 animal caretakers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was veterinary assistants and laboratory animal caretakers: only about 17% of its durable work is work you already do. And on the numbers you do not need one. This job scores 16/100 here, with only 5% of the task list in the top band, and “examine and observe animals to detect signs of illness, disease, or injury” 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.

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 feed and water animals according to schedules and feeding instructions, and their equivalent is to prepare feed for animals according to specific instructions. 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.
Look at that job’s page anyway →
Animal Breeders
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already examine and observe animals to detect signs of illness, disease, or injury, and their equivalent is to examine animals to detect symptoms of illness or injury. Across both published task lists that is about 14% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 14% 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 266,910 of yours (OEWS May 2025), 0% as many seats.
Look at that job’s page anyway →
Veterinarians
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already examine and observe animals to detect signs of illness, disease, or injury, and their equivalent is to examine animals to detect and determine the nature of diseases or injuries. Across both published task lists that is about 11% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. The pay gap is the market pricing a barrier: $130,100 against your $35,360 is 3.68× (OEWS May 2025 (both)), and you would be crossing it holding about 11% of their durable work. A gap that size with an overlap that small is a wish, not a route.
Look at that job’s page anyway →

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: 5% of its task weight, across 22 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 animals according to schedules and feeding instructions 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.

If you run a team doing this job

If you run a team doing this job, the conversation you owe them is the one on this page, and sooner than feels comfortable. Show them the ledger rather than a reassurance: the rows moving toward the software are answering telephones and scheduling appointments, and the rows that are not are where you want your people visible. Ask each of them to do the this-week move and bring the list to your next one-to-one. It turns a rumour into a piece of work, and it tells you which parts of your team's week are actually at stake. And say the thing out loud that a team lead usually leaves unsaid: a shrinking team is your exposure too, so do the move yourself as well.

You are reading the United States figures

The nearest United Kingdom equivalent is Animal care services occupations n.e.c. It is a close match rather than an identical one: the two countries draw the boundary of the job in slightly different places.

Switch to the United Kingdom page →close match

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:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
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 animal caretakers launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No Space for animal caretakers yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for animal caretakers existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for animal caretakers launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

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 Animal Caretakers?: Not as a job, but it is already doing parts of the work. Across the 22 official task statements scored for Animal Caretakers (United States, SOC 39-2021), 5% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 16 out of 100 (range 13–21, 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 “Animal Caretakers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Answer telephones and schedule appointments” (79/100, high); “Respond to questions from patrons, and provide information about animals, such as behavior, habitat, breeding habits, or facility activities” (43/100, partial); “Collect and record animal information, such as weight, size, physical condition, treatments received, medications given, and food intake” (38/100, low). 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 “Animal Caretakers” stay human?: About 88% 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: “Do facility laundry and clean, organize, maintain, and disinfect animal quarters, such as pens and stables, and equipment, such as saddles and bridles” (0/100, minimal); “Train animals to perform certain tasks” (0/100, minimal); “Install, maintain, and repair animal care facility equipment, such as infrared lights, feeding devices, and cages” (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 “Animal Caretakers” do about AI?: Start from the ledger rather than the headline: 5% of this job's weighted core work is exposed, and roughly 88% 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 Animal Caretakers 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 22 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

Worth knowing about these figures

3 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 2026-08-04.
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.

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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}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. 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.