As of August 2026, Animal Trainers has an AI-exposure score of 34/100 (Low exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Animal Trainers

34/100
Low exposure
LowModerateElevatedHighVery High

More exposed than 3% of the roles we track. Median pay ~US$39,990. About 7,100 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Animal Trainers?

No exposure score can predict whether AI will replace this role. The 34/100 score means our current model estimates low task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in our Low exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Train animals for riding, harness, security, performance, or obedience, or for assisting persons with disabilities. Accustom animals to human voice and contact, and condition animals to respond to commands. Train animals according to prescribed standards for show or competition. May train animals to carry pack loads or work as part of pack team.

Common titles
Dog TrainerGuide Dog Mobility Instructor (GDMI)Horse TrainerTrainerAgility InstructorDog Obedience Instructor
O*NET job-zone preparation
Job Zone 2 · Job Zone 1-2: Very Little to Some Preparation Needed Usually requires a high school diploma or GED, though some occupations may not. Some occupations may need little or no previous experience; others require several months to a year of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
InstructingSpeakingCritical ThinkingActive LearningJudgment and Decision MakingMonitoring
Work context
Decision latitudeFrequent contact with others

Source: O*NET 29.1 exact occupation - Animal Trainers, SOC 39-2011.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

Know someone whose job is changing? Share your score.
Post Share Score card
Every share sends them to their own free scan.

Animal Trainers tasks, by AI exposure

Automatable

No automatable tasks identified for this role - its individually-assessed tasks split 87% durable / 13% augmentable.

Augmentable
  • Keep records documenting animal health, diet, or behavior.
  • Administer prescribed medications to animals.
Durable
  • Cue or signal animals during performances.
  • Observe animals' physical conditions to detect illness or unhealthy conditions requiring medical care.
11 more durable tasks locked in the report.

We analyzed all 15 Animal Trainers tasks - 2 augmentable and 13 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

This role is already among lower-exposure work. The adjacent paths below are shown for opportunity and skill transfer, not as lower-exposure alternatives.

Exercise Trainers and Group Fitness Instructors
40% skills overlap; 3 points higher - similar exposure within the 5-point model resolution; Low band; ~US$47,160
View path
37
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Keep records documenting animal health, diet, or behavior.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
Unlock the report to check this task

Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

Personalize it: paste your résumé & LinkedIn (optional) - your rewrite is included in the report
Used only to generate your report. You can delete it anytime via delete my data.
Optional preference: adds a clearly labeled tradeoff card. It never reorders or relabels the evidence-backed adjacent roles.
14-day money-back guarantee One-time · kept forever · no subscription

Generation starts after checkout; reports are typically ready within a few minutes.

Get ahead: a rising skill on this path is Critical Thinking. Explore courses →
Some course links are affiliate links - we may earn a small commission at no extra cost to you.
Unlock my report - $29
Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

Scan your own job

Animal Trainers - median pay by US state (BLS OEWS, USD)

California: US$49,060New York: US$48,790Florida: US$36,870Texas: US$36,370

Median annual wage, in USD. US national: US$39,990. More states are being added.

More Personal Care roles

Hairstylist Personal Trainer First-Line Supervisors of Gambling Services Workers First-Line Supervisors of Personal Service Workers Animal Caretakers Gambling Dealers