← Risk register SOC 45-2021 · reviewed 2026-08-11

Animal Breeders

1,330 US workers · median $51,130/yr · Agriculture

EXPOSED

The physical core of this job — monitoring heats, performing artificial insemination, assisting births, treating sick neonates, handling large or fractious animals, cleaning facilities — is nowhere near robotic reach and anchors the occupation. What AI takes is the desk half: pedigree and inbreeding analysis, genomic-selection ranking, breeding-record management, registration paperwork, and buyer-facing marketing copy, all of which already run better on software than on a breeder's spreadsheet. Scored for the modal worker (small livestock or companion-animal operation), not the geneticist-tier stud manager at a large AI/genetics company.

10-year outlook: The occupation stays small and hands-on through the 2030s, but the genetics-decision half migrates into software, so income concentrates among breeders who sell verified physical outcomes and reproductive services rather than selection advice.

US employment, 2019–2025-17.4%
1,6101,330 workers

Nearly all of this fall was the 2020 shock. It has been climbing back since.

Median pay $42,920 → $51,130 -4.7% in real terms (nominal +19.1%, 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

+2.4%

Percentage only. The projection counts a different population from the 1,330 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 +2.4% more of these jobs by 2034, and at 64/100 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.

~1,200 openings a year on average, including replacing people who leave.

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

Also known as — 24 job titles this covers

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

BreederFur FarmerBee BreederCat BreederDog BreederAviculturistHorse BreederRat CulturistAnimal BreederCanary BreederEquine BreederPigeon FancierRabbit FancierChicken FancierPoultry BreederDairy HusbandmanAnimal HusbandmanAnimal TechnicianLivestock BreederPoultry HusbandmanPoultry InseminatorHusbandry TechnicianLarge Herd SpecialistArtificial Inseminator

Score — 64/100 resistance

Holding it up: embodiment (19/20). Weakest point: liability shield (6/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 15 + 19 + 6 + 12 + 12 = 64. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 15/20

Tasks largely resist digitisation Heat detection by standing behavior and mucus, rectal palpation for pregnancy at 35 days, sleeve-deep AI passes through the cervix, pulling a malpresented calf or repositioning a foal, and tube-feeding a chilled lamb at 2am are tasks no software substitutes for — which is why this sits at 15 rather than 18: the pedigree math, EPD/genomic ranking, and registry filings that used to eat a breeder's winter evenings are genuinely gone.

Embodiment 19/20

Hands-on in uncontrolled environments A 19 reflects that the work happens in calving pens, whelping boxes, and pasture at whatever hour the animal chooses — restraining a 1,400 lb cow in a headgate, dodging a protective sow, scrubbing farrowing crates, hauling semen tanks and feed — with no controlled indoor version of the job available.

Liability shield 6/20

Certification preferred, not legally required No state licence is required to breed and inseminate your own livestock; AI certificates, breed-association membership, and USDA/APHIS Class A dealer registration for dog breeders are gatekeeping-lite, and when a bull's progeny throw a genetic defect the veterinarian who signed the health certificate and the registry carry the formal exposure, not you.

Trust premium 12/20

Some relationship component At 12 because repeat buyers pick a breeder by the phone conversation about a bull's temperament or a bitch's whelping history and by word of mouth at sales — but semen, embryos, and weaned stock still move through catalogs, consignment auctions, and online listings where the animal's numbers, not your name, close the sale.

Judgment & accountability 12/20

Meaningful discretion Deciding which cow to cull, whether to linebreed or outcross this season, when a dystocia stops being managed and becomes a vet call — real money and real animal welfare ride on those calls, but they're made inside breed-standard frameworks, EPD indices, and vet protocols rather than in genuine ambiguity, which holds it at 12.

Scored twice. An independent second run returned 53/100 — EXPOSED, agreeing with the verdict above.

Confidence: medium · 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

Where to go deeper on what this job runs on: Coursera — critical thinking and logic, audit free free to audit · Coursera — active listening and communication skills free to audit · Toastmasters — public speaking practice at local clubs worldwide low · Khan Academy — physics, chemistry and biology from the ground up free · MIT OpenCourseWare — full course materials across every department, free free · edX — performance measurement and evaluation free to audit

All 35 skills ranked by how many jobs they open →

Where this experience transfers — nothing clears the bar

No occupation passed every test: close enough to animal breeders on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.

The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.

Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:

Cooks, Private Household SAFE 67/100 (+3) · 58% overlap
Log Graders and Scalers EXPOSED 41/100 (-23) · 53% overlap
Bakers EXPOSED 50/100 (-14) · 53% overlap

That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.

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

What would move this back up — beyond any one person

The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 80/100 — SAFE.

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

    Buyer-side demand for provenance and welfare-verified breeding: AKC Breeder of Merit / Bred with H.E.A.R.T., and in livestock the growth of heritage/pasture-genetics niches (Livestock Conservancy registries, breed-association 'known breeder' sales). If retail buyers keep paying a premium specifically for a named human breeder who health-tested the parents and will take the animal back, the human-attached brand is the product, not the genetics math.

  • already happening task resistance +3

    Task-mix shift: once genomic-selection ranking, EPD/pedigree analysis and registration filing are fully vendor software, the residual job is heat detection, timed-AI protocol calls, dystocia decisions and cull/keep judgment on animals in front of you — the tier that was already the resistant half. This raises the score without any new rule, but note it caps the occupation's size rather than protecting headcount.

  • plausible liability shield +4

    State commercial-breeder licensing and inspection regimes with a named licensee personally accountable — e.g. Ohio's high-volume dog breeder law, Virginia and Pennsylvania kennel licensing, plus USDA APHIS Class A dealer licensing expanded to the retail-pet channel (the long-pending 'puppy mill' rule tightening). A named licensee who signs health certificates and faces revocation is a legal person the software cannot replace.

  • plausible judgment accountability +3

    Breed-association and welfare-code pressure making a specific person answerable for inbreeding-coefficient limits and conformation-linked disease (e.g. Kennel Club / FCI brachycephalic and COI restrictions, Netherlands and Norway court rulings on breeding brachycephalic dogs). If registries refuse papers unless a named breeder attests to the mating decision, the consequential call is owned rather than computed.

  • plausible liability shield +2

    Accredited-veterinarian signature requirements on interstate/export Certificates of Veterinary Inspection and semen/embryo export health paperwork tightening further; where a breeder must hold or contract a signing credential for germplasm transfer, the paperwork tier stops being automatable output.

The limit. Embodiment at 19 and task_resistance at 15 are already near ceiling; the realistic headroom is institutional, and it is small in absolute terms because the occupation is tiny (1,330 counted workers) and much of the real work sits inside farm-operator and animal-caretaker codes. Licensing gains also tend to consolidate breeding into fewer larger licensed operations rather than protect the modal small breeder.

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 1 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 50 $49,350 -3%

Best paid

New York-Newark-Jersey City, NY-NJ 50 $49,350 -3%

Percentages are against this occupation's national median of $51,130. 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 64. 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.