Veterinarians
HealthcareAI exposure
- Data source: BLSPublished: 2026-08
High· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.093
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.14
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 95% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 19 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Advise animal owners regarding sanitary measures, feeding, general care, medical conditions, or treatment options.29-1131 | 0.031884.6 | 0.0073100.0 |
Perform administrative or business management tasks, such as scheduling appointments, accepting payments from clients, budgeting, or maintaining business records.29-1131 | 0.00246.4 | —0 |
Educate the public about diseases that can be spread from animals to humans.29-1131 | 0.00195.1 | —0 |
Plan or execute animal nutrition or reproduction programs.29-1131 | 0.00154.0 | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Specialize in a particular type of treatment, such as dentistry, pathology, nutrition, surgery, microbiology, or internal medicine.O*NET Task ID 4121 | 1.0 |
Attend lectures, conferences, or continuing education courses.O*NET Task ID 18533 | 1.0 |
Operate diagnostic equipment, such as radiographic or ultrasound equipment, and interpret the resulting images.O*NET Task ID 4110 | 0.5 |
Educate the public about diseases that can be spread from animals to humans.O*NET Task ID 4112 | 0.5 |
Establish or conduct quarantine or testing procedures that prevent the spread of diseases to other animals or to humans and that comply with applicable government regulations.O*NET Task ID 4116 | 0.5 |
Direct the overall operations of animal hospitals, clinics, or mobile services to farms.O*NET Task ID 4119 | 0.5 |
Plan or execute animal nutrition or reproduction programs.O*NET Task ID 4123 | 0.5 |
Research diseases to which animals could be susceptible.O*NET Task ID 4124 | 0.5 |
Inspect animal housing facilities to determine their cleanliness and adequacy.O*NET Task ID 4125 | 0.5 |
Advise animal owners regarding sanitary measures, feeding, general care, medical conditions, or treatment options.O*NET Task ID 18532 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page