AI exposure: Animal Trainers
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.
Reading this score
computedAt 16.5% of weighted task load, Animal Trainers sits at the 28th percentile, below the point where a job's centre of gravity has moved. 68.9% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is presence. Across this occupation's 15 tasks it averages 2.29 out of 3, the highest of the five friction dimensions. In plain terms, a person has to be the one present. This is the friction software does not erode. Where the point of the act is that a human is there, to care or to witness or to take responsibility in the room, automating the output misses what was being paid for.
The most exposed thing this job does is Keep records documenting animal health, diet, or behavior, at 60.0%. The least is Train dogs in human assistance or property protection duties, at 0.0%. A gap of 60.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within personal care and service occupations, this one is less exposed than the median of 24.4% across the group's 31 roles, with 24 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.
What would move this score. Of 15 tasks, 4 are currently banded exposed, 1 assisted and 10 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.13 | 0-4 |
| Embodiment | 2.00 | 0-3 |
| Presence | 2.29 | 0-3 |
| Accountability | 1.18 | 0-3 |
| Context | 2.11 | 0-3 |
| Verification cost | 1.38 | 0-3 |
Task by task
15 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Keep records documenting animal health, diet, or behavior. | 60.0% | 40.0% | 0.0% | 4.13 | exposed |
| Advise animal owners regarding the purchase of specific animals. | 45.0% | 30.0% | 25.0% | 3.62 | exposed |
| Evaluate animals to determine their temperaments, abilities, or aptitude for training. | 40.0% | 35.0% | 25.0% | 4.31 | exposed |
| Evaluate animals for trainability and ability to perform. | 40.0% | 35.0% | 25.0% | 3.97 | exposed |
| Organize or conduct animal shows. | 23.3% | 26.7% | 50.0% | 3.21 | assisted |
| Cue or signal animals during performances. | 10.0% | 15.0% | 75.0% | 4.48 | untouched |
| Observe animals' physical conditions to detect illness or unhealthy conditions requiring medical care. | 6.7% | 18.3% | 75.0% | 4.37 | untouched |
| Talk to or interact with animals to familiarize them to human voices or contact. | 0.0% | 0.0% | 100.0% | 4.48 | untouched |
| Conduct training programs to develop or maintain desired animal behaviors for competition, entertainment, obedience, security, riding, or related purposes. | 0.0% | 0.0% | 100.0% | 4.44 | untouched |
| Feed or exercise animals or provide other general care, such as cleaning or maintaining holding or performance areas. | 0.0% | 0.0% | 100.0% | 4.37 | untouched |
| Administer prescribed medications to animals. | 0.0% | 0.0% | 100.0% | 4.25 | untouched |
| Train horses or other equines for riding, harness, show, racing, or other work, using knowledge of breed characteristics, training methods, performance standards, and the peculiarities of each animal. | 0.0% | 0.0% | 100.0% | 4.49 | untouched |
| Use oral, spur, rein, or hand commands to condition horses to carry riders or to pull horse-drawn equipment. | 0.0% | 0.0% | 100.0% | 4.43 | untouched |
| Retrain horses to break bad habits, such as kicking, bolting, or resisting bridling or grooming. | 0.0% | 0.0% | 100.0% | 4.39 | untouched |
| Train dogs in human assistance or property protection duties. | 0.0% | 0.0% | 100.0% | 4.32 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.