SOC 29-1131.00

Veterinarian

VerdictModerate Risk — exposed on paper only
Signal 01 · structural exposure
42
/ 100

Veterinarians examine patients who can't describe what hurts, which means every visit depends on hands-on physical exams, reading behavioral cues, and real-time judgment about animals that can be defensive or unpredictable when in pain.

Signal 02 · real-world AI usage
Medium
band, not a number

In real usage data, AI shows up in this job about as often as the average occupation: not high, not negligible.

Technical detail

Based on Microsoft's "Working with AI" study of real Copilot conversations mapped to O*NET tasks (arXiv 2507.07935): Veterinarians scored 0.155 on AI applicability, within one standard deviation of the cross-occupation mean (0.159, stdev 0.098) across all 785 SOC codes studied — banded here as Medium real-world AI usage relative to other occupations.

Corroborating signal from the Anthropic Economic Index (Claude.ai/API conversations, a different product and userbase than the Microsoft data above): Veterinarians shows measurable Claude usage tied to this occupation's tasks, though at low absolute volume — treat as directional confirmation, not a second precise score.

What this is not
Neither reading measures whether any single veterinarian has lost work to AI. That data does not exist anywhere yet — both signals describe tasks, not headcount.
How we calculated this →

What a veterinarian actually does

Veterinarians diagnose, treat, and prevent diseases and injuries in animals, providing medical care ranging from routine wellness exams and vaccinations to complex surgeries and emergency interventions. Daily tasks include performing physical exams, drawing blood and running diagnostic panels, taking and interpreting radiographs or ultrasounds, administering anesthesia and monitoring vitals during procedures, performing spays, neuters, dental cleanings, and soft-tissue or orthopedic surgery, and prescribing medications for conditions ranging from ear infections to diabetes.

The role requires examining animals of varying species, sizes, and temperaments; interpreting diagnostic tests; counseling pet owners on care, treatment options, and costs; and making difficult end-of-life decisions with families. Veterinarians work with companion animals, livestock, horses, zoo animals, and wildlife, with large-animal and equine vets often traveling to farms and stables rather than working from a fixed clinic. Specializations include surgery, internal medicine, oncology, dermatology, emergency and critical care, and behavioral medicine.

Work settings include private practices, emergency hospitals, research institutions, zoos, government agencies, and agricultural operations. The profession requires medical knowledge across multiple species, surgical skills, business acumen, and completion of a four-year DVM degree followed by state licensure.

Why it reads this way

Veterinarians examine patients who can't describe what hurts, which means every visit depends on hands-on physical exams, reading behavioral cues, and real-time judgment about animals that can be defensive or unpredictable when in pain. O*NET survey data backs this up: vets report "very close, near-touching" physical contact with patients as standard, plus daily exposure to bites, scratches, and disease — work that has no remote substitute.

On top of that physical reality, federal and state law requires a licensed veterinarian — not an algorithm — to hold an individual DEA registration to prescribe controlled substances, and in most states a vet must personally examine an animal (or visit its premises) before diagnosing or prescribing at all. A handful of states now let that first exam happen over video, but it's still a licensed human vet on the call, not AI.

AI tools are genuinely in use here — radiology-triage platforms like SignalPET and Vetology flag abnormalities on X-rays, and telehealth platforms like Dutch use AI to cut down paperwork — but every documented example treats AI as a second opinion or an assistant, with the treating vet still legally on the hook for the diagnosis. One AI company's 2025 claim to have "passed" the veterinary licensing exam was publicly refuted and retracted by the exam's own governing body within weeks.

Expect more automation of imaging pre-screens and admin work, but replacing the licensed vet's exam, prescription pad, and scalpel isn't something current law or technology supports.

Skills this role draws on

We don't yet have task-by-task time-share data for this occupation, so we can't show which specific tasks carry the exposure score above. This is the real skill set instead.

Medical DiagnosisSurgical SkillsAnimal HandlingClient CommunicationBusiness ManagementCompassionCritical Thinking
Pay & demand

Typical salary range (USD)

$78,000–$158,000

Average: $142,680/yr

Demand
High
Growth outlook
Strong
Projected growth
10% (2024-2034)

Range source: BLS Occupational Employment Statistics, May 2024
Average source: BLS Occupational Employment and Wage Statistics, May 2025 (Annual Mean Wage)

Training
8-12 years (undergraduate + 4-year DVM + optional residency)
Doctor of Veterinary Medicine (DVM)InternshipBoard Certification (optional)
Research verdict
Assessed as of 2026-08-08
AI-resistant despite the paperwork

As of August 2026, veterinarian work is not being meaningfully displaced by AI, even though its structural score of 58 is the highest we've measured in the healthcare group so far. AI radiology-triage tools like SignalPET and Vetology are genuinely deployed in thousands of clinics, and telehealth platforms like Dutch use AI to cut vet paperwork time — but every documented use treats AI as a second opinion or admin assistant, not a replacement for the treating veterinarian, who stays legally accountable under state veterinarian-client-patient-relationship (VCPR) rules. Federal DEA rules require an individually licensed veterinarian to prescribe controlled substances, and most states still require a hands-on physical exam (a handful now allow that exam itself to happen over video, but still performed by a human vet) before an animal can be diagnosed or treated. O*NET survey data confirms the job involves near-constant close physical contact with animals and daily exposure to bites, scratches, and disease — work that can't be done remotely. Worth disclosing: one company's October 2025 claim that its AI had "passed" the veterinary licensing exam was publicly refuted and retracted within weeks by the exam's own governing body, a useful reminder that hype currently outpaces reality in this space.

This is a researched judgment (checklist v1.2), not a statistical measurement — it sits alongside, not instead of, the structural exposure signal above. Next scheduled review: 2027-08-08.

Sources (16)
Last updated: December 2025Source: BLS Occupational Employment Statistics, May 2024

Data sources & methodology

Salary data: BLS Occupational Employment Statistics, May 2024. Min/max figures represent the 10th–90th percentile annual wage range across the United States. Average figure sourced separately: BLS Occupational Employment and Wage Statistics, May 2025 (Annual Mean Wage).

Automation Risk Score: Based on O*NET occupational analysis (29-1131.00) evaluating task complexity, physical requirements, social intelligence, and environmental variability. Methodology based on research from Frey & Osborne (Oxford, 2017).

Growth projections: 10% (2024-2034), based on BLS Occupational Outlook Handbook.

Learn more about our methodology