Will AI replace Animal Caretakers?

This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.

What does a score of 23 mean for a Animal Caretakers?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 23 on a 0–100 exposure scale — in the least-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

This role has no strongly automatable task in the current data release.

Which parts of this job are most durable?

The most durable responsibilities are: Do facility laundry and clean, organize, maintain, and disinfect animal quarters, such as pens and stables, and equipment, such as saddles and bridles; Exercise animals to maintain their physical and mental health; Perform animal grooming duties, such as washing, brushing, clipping, and trimming coats, cutting nails, and cleaning ears. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Animal Caretakers

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.

Also known as: Animal Feeder · Animal Groomer · Animal Handler · Animal Caregiver · Animal Care Taker · Animal Care Attendant

AI Task Exposure Score

Low exposure

More exposed than 22% of 968 occupations · Rank #727 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Your free role snapshot

Start with the work, not the headline

This occupation baseline already contains different kinds of work. These are the two ends of its current task range and one useful action you can take now.

Most exposed task

Answer telephones and schedule appointments.

Augmentable 55/100 exposure

Most durable task

Perform animal grooming duties, such as washing, brushing, clipping, and trimming coats, cutting nails, and cleaning ears.

Durable 10/100 exposure

Useful next step

Make one change to the task mix

Protect the durable core of the role, then use AI to compress the routine work around it before that becomes a mandate.

Want this mapped to your actual week? Know what to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days.

Build my 7/30/90-day action plan — $9

Most exposed tasks

No task is classified fully automatable in this release. The highest-exposure task relative to this role is shown in the free snapshot above; the assistive work is detailed next.

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

Answer telephones and schedule appointments.55
Collect and record animal information, such as weight, size, physical condition, treatments received, medications given, and food intake.45
Advise pet owners on how to care for their pets' health.40

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

Do facility laundry and clean, organize, maintain, and disinfect animal quarters, such as pens and stables, and equipment, such as saddles and bridles.10
Exercise animals to maintain their physical and mental health.10
Perform animal grooming duties, such as washing, brushing, clipping, and trimming coats, cutting nails, and cleaning ears.10

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 23 puts Animal Caretakers in the least-exposed quarter of analyzed occupations. In practice, exposure this level is about the mix: 0 of 20 analyzed tasks lean automatable, 5 augmentable, and 15 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

$35,360median wage
266,910employed
74,600annual openings
+12.1%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Turn your actual week into a plan

Know which work to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days. Your $9 plan includes a confidence-rated personal score, task matrix, human moat, and only genuinely lower-exposure adjacent roles.

Build my 7/30/90-day action plan — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

How this score was calculated

The score is the plain average of the AI-exposure values of this role’s 20 analyzed tasks (equal task weights in this release — no hidden factors):

Augmentable 5 tasks, averaging 41/100 exposure
Durable 15 tasks, averaging 17/100 exposure

score = (5×41 + 15×17) ÷ 20 ≈ 23

Every task’s exposure value was scored against a published anchored rubric that scores tasks as actually performed — physical, in-person, and accountability requirements included (data release 2026.07.12-r2). The band (Low) is a corpus quartile; the percentile is tie-aware across all 968 occupations.

FAQ — Animal Caretakers

Will AI replace Animal Caretakers?: This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.
What does a score of 23 mean for a Animal Caretakers?: It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 23 on a 0–100 exposure scale — in the least-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
Which tasks in this role are most exposed to AI?: This role has no strongly automatable task in the current data release.
Which parts of this job are most durable?: The most durable responsibilities are: Do facility laundry and clean, organize, maintain, and disinfect animal quarters, such as pens and stables, and equipment, such as saddles and bridles; Exercise animals to maintain their physical and mental health; Perform animal grooming duties, such as washing, brushing, clipping, and trimming coats, cutting nails, and cleaning ears. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
Is this score personalized to me?: No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Score version jr-v1 · data release 2026.07.12-r2 · updated 2026-07-13 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology