← Risk register SOC 39-2021 · reviewed 2026-08-11

Animal Caretakers

266,910 US workers · median $35,360/yr · Personal Care

EXPOSED

Feeding, bathing, walking, restraining frightened animals, and scrubbing kennels are physical tasks in unpredictable environments that no current robot performs at cost — this is the strongest moat in the job. What AI does erode is the paperwork layer: booking, intake forms, care logs, behavior notes, adoption listings, and client update messages. There is no licensure floor and pay is near minimum wage, so the realistic pressure is wage compression and fewer front-desk hybrid roles, not the disappearance of the hands-on work.

10-year outlook: The hands-on work stays human through the next decade; expect the administrative half of hybrid caretaker roles to be absorbed by software, pushing the job toward pure physical care and rewarding those with veterinary or grooming credentials.

US employment, 2019–2025+25.6%
212,450266,910 workers

Dipped in 2020, then grew past where it started.

Median pay $24,780 → $35,360 +14.2% in real terms (nominal +42.7%, 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

+12.1%

Percentage only. The projection counts a different population from the 266,910 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.

Growing, and only partly exposed

The BLS expects +12.1% more of these jobs by 2034, and at 59/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.

Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.

~74,600 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.

BatherKeeperWalkerFarrierGroomerRingmanAquaristCaretakerZookeeperCare TakerCat BatherCat SitterDog BarberDog BatherDog RaiserDog SitterDog WalkerHorseshoerHot WalkerPet FeederPet SitterPony RiderZoo KeeperBird Raiser

Score — 59/100 resistance

Holding it up: embodiment (19/20). Weakest point: liability shield (3/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 16 + 19 + 3 + 12 + 9 = 59. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 16/20

Tasks largely resist digitisation Clipping the nails of a cat that has already bitten you, hosing out a run while three dogs bark at the gate, and spotting that the retriever in kennel 4 has stopped eating are tasks defined by improvisation on a live animal, which is why this sits at 16 rather than a perfect 20 — scheduling, feeding-chart tracking, and adoption write-ups are genuinely being taken over.

Embodiment 19/20

Hands-on in uncontrolled environments You are lifting 60-pound dogs onto grooming tables, kneeling on wet concrete, absorbing scratches and kennel cough exposure, and working in barns and outdoor runs where footing and temperature change daily — near the ceiling because the animal itself is an unpredictable moving object, not a fixed workpiece.

Liability shield 3/20

No licence, no signature requirement No state requires a licence to bathe, board, or walk animals; the 3 reflects only that some employers ask for pet-first-aid or CPR cards and that veterinary tasks like injections must be handed off to a licensed vet or vet tech, so nothing in law reserves your work to you.

Trust premium 12/20

Some relationship component Owners hand over a family member and specifically request the caretaker who knows their dog's separation anxiety and the exact leash routine, which builds real repeat loyalty at boarding and daycare facilities — but at 12 rather than 15+ because shelter, kennel, and lab-animal roles are high-turnover and the animal, not you, is what the client is attached to.

Judgment & accountability 9/20

Meaningful discretion You make the first call on whether lethargy or a hot spot warrants waking the vet, whether two dogs can share a play group, and when to pull an animal from the floor — real discretion with real consequences, but exercised inside written kennel protocols with a supervisor or veterinarian owning the final decision, which keeps it at 9.

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, trust

How to future-proof this job

Training paths for your skill gaps: Learning How to Learn — the most-taken course on Coursera, and free free to audit · Toastmasters — public speaking practice at local clubs worldwide low · MIT OpenCourseWare — full course materials across every department, free free · Coursera — active listening and communication skills free to audit

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

Massage Therapists SAFE · 76/100 · you already have ~67% of the skill profile

Skills to close: Learning Strategies, Speaking, Active Learning, Active Listening

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 73/100 — SAFE.

4 specific changes that would raise this score
  • already happening trust premium +3

    Continued growth of premium in-home and small-cohort pet care (Rover/Wag-style but human-branded, 'no-kennel', live video check-ins with a named handler) where owners pay explicitly for one identified person rather than a facility. Already visible in pricing spreads between big-box boarding and independent sitters.

  • already happening task resistance +2

    If the routine paperwork tier is fully absorbed, the residual job concentrates in behavioral handling of fearful/reactive animals and medication administration — work with no near-term robotic substitute. This raises the share of the day AI cannot touch without any new law.

  • plausible liability shield +5

    State kennel/boarding licensure laws that name a specific certified attendant-of-record per shift — e.g. New Jersey's post-2021 animal boarding rules and similar bills after high-profile boarding deaths — plus mandatory staff-to-animal ratios and certification (PACCC, or state animal control officer certification) written into county permits. This creates a named human whose signature and personal exposure attaches to each animal's daily care record.

  • plausible judgment accountability +4

    Task-mix shift plus formal escalation duty: as logging and scheduling automate, the remaining shift work is triage — recognizing bloat, heat stress, aggression escalation, or a declining animal and deciding to call the vet. If facility protocols or insurer requirements make that call a documented attendant decision (as many shelter medicine protocols now do), the role owns consequential ambiguous calls.

The limit. Even with all levers, the binding constraint is wage, not displacement: no licensure regime yet contemplated would make this scarce labor, and low pay means employers have little incentive to buy automation. Score can rise to roughly the low 70s while pay stays near minimum.

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 385 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

New York-Newark-Jersey City, NY-NJ 11,430 $37,900 +7%
Los Angeles-Long Beach-Anaheim, CA 9,000 $38,520 +9%
Chicago-Naperville-Elgin, IL-IN 8,510 $36,110 +2%
Washington-Arlington-Alexandria, DC-VA-MD-WV 6,590 $37,710 +7%
Dallas-Fort Worth-Arlington, TX 6,110 $34,310 -3%
Atlanta-Sandy Springs-Roswell, GA 6,010 $30,090 -15%
Boston-Cambridge-Newton, MA-NH 5,590 $39,850 +13%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 5,480 $34,970 -1%

Best paid

Kahului-Wailuku, HI 90 $46,270 +31%
San Jose-Sunnyvale-Santa Clara, CA 1,090 $44,070 +25%
Seattle-Tacoma-Bellevue, WA 3,950 $44,060 +25%

Percentages are against this occupation's national median of $35,360. 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 — nobody, on the record

We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.

That is worth saying out loud next to a score of 59. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

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.

Watch this verdict
Kept current

Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.