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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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Mostly Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
64.5%
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
Veterinarians are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
The career of a veterinarian is labeled as "Mostly Resilient" because while AI can assist with tasks like reading X-rays and speeding up lab tests, it doesn't replace the human touch required for comforting pet owners and making sensitive decisions. AI tools help with technical tasks, allowing vets to focus on the deeply human aspects of their work that require empathy and judgment.
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The career of a veterinarian is labeled as "Mostly Resilient" because while AI can assist with tasks like reading X-rays and speeding up lab tests, it doesn't replace the human touch required for comforting pet owners and making sensitive decisions. AI tools help with technical tasks, allowing vets to focus on the deeply human aspects of their work that require empathy and judgment.
Read full analysisAnalysis of Current AI Resilience
Veterinarians
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Veterinarians jobs?
Vets already use AI for some technical tasks. For example, computer tools can help read X-rays or ultrasounds of pets. Software like PicoxIA and Vetology can highlight problems in pet chest and hip X-rays to help the vet diagnose disease [1].
Similarly, lab tests are partly automated: AI-powered analyzers (e.g. Zoetis Vetscan Imagyst, CellaVision) can quickly count blood and urine cells from samples [1]. These tools speed up results, but a veterinarian still reviews them. By contrast, deeply human tasks remain with the vet now.
No AI can truly comfort a grieving owner or make the ethical call to euthanize a pet. Those sensitive conversations and actions need human empathy and judgment. Even routine admin tasks are only partly automated.
Many clinics use online scheduling, chats, and reminders to free staff time [2], but people still handle payments and budgets. In short, current AI in veterinary medicine is mostly an assistant, not a replacement. As experts note, these tools should support vets rather than take over their jobs [1] [2].
Sources
How fast is AI adoption growing for Veterinarians?
Whether vets use more AI soon depends on many factors. Some AI tools exist today (image analysis, lab diagnostics, online booking), so practices could adopt them for faster, cheaper work [1] [1]. On the other hand, buying and running AI systems can be costly, and most clinics are small businesses.
Veterinarians also earn high salaries (median about \$125,000 [3]) and are in high demand (projected 10% job growth) [3] [3], so it may be cheaper to hire people than buy expensive tech. Social and ethical factors matter too. Pet owners trust a vet’s personal care, especially for end-of-life decisions.
There are no strong laws against AI in vet care, but practices will roll out AI carefully so that people still feel heard and safe. In practice, we expect AI to grow where it clearly helps (like speeding up lab results or handling routine appointments), while vets keep the “human” parts (comforting clients, making complex judgments). Presented positively to young people: AI will change some vet tasks, but caring skills remain crucial.
Technology can make vets’ work easier, but it can’t replace the empathy and expertise people bring [1] [2].
Sources
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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
$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
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.
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