SOC 39-2011

Animal Trainers AI displacement risk

Training an animal is a live feedback loop of timing, temperament reading, and trust-building between a human and a dog. AI offers generic training content; the behavior modification session itself is embodied interspecies work.

Exposure20

Share and intensity of work current AI systems can materially affect.

Automation7%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandLow

Pet ownership growth drives demand, and no technology substitutes for the trainer's timing and relationship with an animal. The role's risks are income instability and physical bites, not automation.

Distribution

Where Animal Trainers sits across 620 tracked roles

Animal Trainers · 12050100

Displacement pressure 12 — higher than 2% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

15 O*NET task statements matched to SOC 39-2011. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $39,990 (May 2025, US national). The latest BLS row matched SOC 39-2011.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Animal Trainers

SOC 39-2011 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 12/100 role score and are not an occupation forecast.

Modest change

+1.1% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

+5.9% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

+33.6% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Animal Trainers

The current evidence import matched 15 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks15
SOC39-2011
  • Core task / ID 7989

    Cue or signal animals during performances.

  • Core task / ID 7993

    Talk to or interact with animals to familiarize them to human voices or contact.

  • Core task / ID 20593

    Conduct training programs to develop or maintain desired animal behaviors for competition, entertainment, obedience, security, riding, or related purposes.

  • Core task / ID 7992

    Feed or exercise animals or provide other general care, such as cleaning or maintaining holding or performance areas.

  • Core task / ID 7988

    Observe animals' physical conditions to detect illness or unhealthy conditions requiring medical care.

  • Core task / ID 7991

    Evaluate animals to determine their temperaments, abilities, or aptitude for training.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

physical

Conduct training programs with animals

Exposure 14, automation 4%, augmentation 30%.

O*NET evidence: Conduct training programs to develop or maintain desired animal behaviors for competiti... (ID 20593)

analytical

Evaluate animal temperaments

Exposure 26, automation 9%, augmentation 50%.

O*NET evidence: Evaluate animals to determine their temperaments, abilities, or aptitude for training. (ID 7991)

social

Advise owners on behavior and care

Exposure 28, automation 10%, augmentation 52%.

O*NET evidence: Advise animal owners regarding the purchase of specific animals. (ID 7996)

information

Keep health and behavior records

Exposure 44, automation 22%, augmentation 56%.

O*NET evidence: Keep records documenting animal health, diet, or behavior. (ID 7995)

TaskExposureAutomationAugmentation
Conduct training programs with animals144%30%
Evaluate animal temperaments269%50%
Advise owners on behavior and care2810%52%
Keep health and behavior records4422%56%

Transition pathways

Adjacent moves that preserve existing skills

credentialed transition

Certified Behavior Consultant

Training horizon: 6-12 months. Skill overlap 68. Wage preservation signal 118.

  • Earn behavior certification
  • Build aggression case experience
  • Document behavior outcomes
Low
adjacent role

Service Dog Trainer

Training horizon: 6-18 months. Skill overlap 70. Wage preservation signal 106.

  • Learn task-training protocols
  • Apprentice with assistance dog programs
  • Master public access standards
Low

Comparison guides

Compare the next move before you commit

What the AI risk score means for Animal Trainers

The displacement pressure score for Animal Trainers is 12. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Keep health and behavior records carries 22% automation pressure, while Keep health and behavior records carries 56% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $39,990 (May 2025, US national). Employment context: Behavior training role with pet-industry growth. Typical education: No formal credential; certification common.

Wage vulnerability is 62, while transition feasibility is 62. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • Very low displacement pressure
  • Pet industry growth supports demand
  • Content apps supplement, not substitute

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Animal Trainers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Animal behavior assessment

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Animal handling

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

Owner coaching

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

Documentation

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Certified Behavior Consultant, such as earn behavior certification.
  3. By 90 days, compare internal openings and external postings for Certified Behavior Consultant or Service Dog Trainer and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Animal Trainers

Will AI replace Animal Trainers?

Training an animal is a live feedback loop of timing, temperament reading, and trust-building between a human and a dog. AI offers generic training content; the behavior modification session itself is embodied interspecies work. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Animal Trainers work are most exposed to AI?

Keep health and behavior records and Advise owners on behavior and care show the strongest automation pressure in this model. Keep health and behavior records and Advise owners on behavior and care are better treated as AI-augmented work.

What should Animal Trainers learn next?

Start with Animal behavior assessment, Animal handling, Owner coaching. The most practical adjacent paths in this model are Certified Behavior Consultant and Service Dog Trainer.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail