Mostly Resilient
Last Update: 7/31/2026
AI Resilience Score for Veterinarians:
63.6%
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
AI Resilience Report forVeterinarians
$130,100 median salary•3,000 annual openings•SOC Code: 29-1131.00
Veterinarians are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Veterinary medicine is labeled "Mostly Resilient" because the heart of the job, including hands-on care like surgery, physical exams, and compassionate conversations with pet owners, simply cannot be handed off to a machine. AI is genuinely changing parts of the role, particularly the paperwork side, with tools like AI scribes and imaging software taking over tasks that vets found tedious anyway.
Learn more about how you can thrive in this position
This role is mostly resilient
Veterinary medicine is labeled "Mostly Resilient" because the heart of the job, including hands-on care like surgery, physical exams, and compassionate conversations with pet owners, simply cannot be handed off to a machine. AI is genuinely changing parts of the role, particularly the paperwork side, with tools like AI scribes and imaging software taking over tasks that vets found tedious anyway.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Veterinarians
Updated Quarterly

How is AI changing Veterinarians jobs?
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.
Sources

How fast is AI adoption growing for Veterinarians?
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.
Sources

Will AI replace Veterinarians?
No. We don't think AI will replace veterinarians, though we do expect the job to change.
Our data gives this career a 63.6% AI Resilience Score, landing it in "Mostly Resilient" territory. The biggest shifts are already happening in paperwork and imaging. AI scribes handle exam-room notes automatically, freeing vets from the parts of the job they like least. AI software can review radiographs and return detailed reports, though those reports arrive watermarked "Ready for review" [1], keeping the licensed vet in charge. A 2026 pilot study even found real gaps in how commercial radiology AI handles general-practice cases [2], which is a reminder that the technology still needs human oversight.
The hands-on, high-stakes work stays firmly human. Surgery, physical exams, end-of-life conversations, and clinical judgment under pressure are not tasks pet owners or regulators are ready to hand to an algorithm. Regulators are also drawing clear lines: guidance from the AAVSB stresses that licensees must understand AI's limits and maintain transparency with clients [5]. Meanwhile, BLS projects veterinarian employment will grow 10% from 2024 to 2034, much faster than average [3]. AI looks far more like a tool that makes this career more sustainable than one that makes it obsolete.
Sources

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Latest AI news for Veterinarians
These articles highlight the growing role of AI in veterinary careers, showcasing how technology can enhance diagnostic accuracy and improve patient outcomes. For instance, AI's application in veterinary radiology provides instant decision support, streamlining workflows and boosting efficiency. Additionally, the recognition of leaders in veterinary AI, like CoVet's Mike Parent, underscores the industry's demand for professionals who can adapt to and leverage these innovations. Embracing AI can position future veterinarians for success and resilience in an evolving field.

CoVet Co-Founder Mike Parent Named EY Entrepreneur Of The Year Amid Growing Demand for Trusted Veterinary AI
www.prnewswire.com • 7/15/2026
Recognition follows a year of industry awards, strategic partnerships, enhanced security standards and measurable impact for veterinary...

Artificial intelligence, epistemic authority, and emerging risks in veterinary clinical decision-making
www.frontiersin.org • 6/29/2026
Artificial intelligence (AI) is becoming increasingly visible in veterinary medicine, not only in diagnostic and decision-support applications but also in...

CoVet's In-House Medical Team Shares AI Predictions for Veterinary Practices in 2026
www.prnewswire.com • 3/4/2026
PRNewswire/ -- CoVet, the AI CoPilot built by veterinary professionals who understand the realities of life in the clinic, today released...

Transforming Animal Health: The Rise of AI in Veterinary Radiology
www.latimes.com • 1/14/2026
AI algorithms analyze diagnostic images to provide instant decision support for veterinary professionals. The American College of Veterinary...

Artificial intelligence poised to transform veterinary care
www.avma.org • 5/29/2024
Veterinarians increasingly are embracing artificial intelligence (AI) to improve practice efficiency and clinical outcomes.
More Career Info
Career: Veterinarians
They help sick animals get better by examining them, diagnosing issues, and providing the right treatments.
Parent Careers
Employment & Wage Data
Median Wage
$130,100
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
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.
2
Treat sick or injured animals by prescribing medication, setting bones, dressing wounds, or performing surgery.
3
Specialize in a particular type of treatment, such as dentistry, pathology, nutrition, surgery, microbiology, or internal medicine.
4
Collect body tissue, feces, blood, urine, or other body fluids for examination and analysis.
5
Direct the overall operations of animal hospitals, clinics, or mobile services to farms.
6
Inspect and test horses, sheep, poultry, or other animals to detect the presence of communicable diseases.
7
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.
