Will AI replace Veterinarians?
Work in Veterinarians sits in the in-between: AI reaches some of it (~27% in theory) but is only measured doing about 9% today — part human, part machine.
O*NET-SOC 29-1131
How your 14 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~27%). By late 2025, real-world AI use had reached about 9% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~27%), real-world use (~9%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 14 tasks, ratedBased on real task-level AI scores — click to collapse
- Attend lectures, conferences, or continuing education courses.
- Operate diagnostic equipment, such as radiographic or ultrasound equipment, and interpret the resulting images.
- Educate the public about diseases that can be spread from animals to humans.
- Advise animal owners regarding sanitary measures, feeding, general care, medical conditions, or treatment options.
- Perform administrative or business management tasks, such as scheduling appointments, accepting payments from clients, budgeting, or maintaining business records.
- Plan or execute animal nutrition or reproduction programs.
- Treat sick or injured animals by prescribing medication, setting bones, dressing wounds, or performing surgery.
- Inoculate animals against various diseases, such as rabies or distemper.
- Examine animals to detect and determine the nature of diseases or injuries.
- Collect body tissue, feces, blood, urine, or other body fluids for examination and analysis.
- Counsel clients about the deaths of their pets or about euthanasia decisions for their pets.
- Euthanize animals.
- Train or supervise workers who handle or care for animals.
- Conduct postmortem studies and analyses to determine the causes of animals' deaths.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.