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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Veterinarians are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Veterinary medicine earns a "Mostly Resilient" label because the heart of the job — hands-on care, surgery, clinical judgment, and those tough emotional conversations with pet owners — simply can't be handed off to an algorithm. AI is stepping in to handle the parts vets actually find draining, like writing up medical records and reviewing X-rays, which frees up more time for the meaningful work with animals and their families.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
Veterinary medicine earns a "Mostly Resilient" label because the heart of the job — hands-on care, surgery, clinical judgment, and those tough emotional conversations with pet owners — simply can't be handed off to an algorithm. AI is stepping in to handle the parts vets actually find draining, like writing up medical records and reviewing X-rays, which frees up more time for the meaningful work with animals and their families.
Read full analysisAnalysis of Current AI Resilience
Veterinarians
Updated Quarterly • Last Update: 5/15/2026

Right now, AI in veterinary medicine is mostly augmenting vets, not replacing them. The fastest-growing tool is the AI scribe — voice-to-text software that listens to exam-room conversations and drafts medical records — which veterinarians of all ages are embracing because "This technology allows veterinarians to stop doing something they don't enjoy, like updating medical records by hand, and spend more time with patients." Imaging is the other frontier: eight companies worldwide currently offer AI software to review radiographs, producing everything from simple "yes or no" diagnoses to detailed narrative reports, and these reports typically arrive watermarked as "Ready for review" [1] so the licensed vet stays in charge. Hands-on tasks like drawing blood, performing surgery, or running quarantine procedures remain almost entirely human.
Even AI radiology — the most "automated" task — isn't fully trusted yet; a 2026 JAVMA pilot study found commercial veterinary radiology AI services showed deficiencies in interpreting canine abdominal radiographs [2] from general practice.

Adoption is moving quickly for a few reasons. The U.S. is short on vets — BLS projects veterinarian employment will grow 10% from 2024 to 2034, much faster than average [3] — so anything that cuts paperwork helps burned-out clinics. Cheap, subscription-based scribe and imaging tools mean clinics don't need huge IT budgets, and more practices are rapidly adopting veterinary AI [4] for SOAP notes and client communications.
But brakes exist: regulators are catching up. The AAVSB's 2026 guidance stresses that licensees must understand AI's limits, maintain transparency, safeguard client data, and obtain informed consent [5]. Pet owners also want a human handling euthanasia talks and surgery, and as Vet Times notes, "human-in-the-loop" oversight remains essential [6].
The takeaway for students considering this career: AI will likely shrink the boring paperwork part of the job, but the empathy, hands-on care, and clinical judgment that drew you to veterinary medicine in the first place are exactly the skills that stay valuable.

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They help sick animals get better by examining them, diagnosing issues, and providing the right treatments.
Median Wage
$125,510
Jobs (2024)
86,400
Growth (2024-34)
+9.6%
Annual Openings
3,000
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
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.
Treat sick or injured animals by prescribing medication, setting bones, dressing wounds, or performing surgery.
Specialize in a particular type of treatment, such as dentistry, pathology, nutrition, surgery, microbiology, or internal medicine.
Collect body tissue, feces, blood, urine, or other body fluids for examination and analysis.
Direct the overall operations of animal hospitals, clinics, or mobile services to farms.
Inspect and test horses, sheep, poultry, or other animals to detect the presence of communicable diseases.
Inoculate animals against various diseases such as rabies or distemper.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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