Will AI replace Veterinary Assistants and Laboratory Animal Caretakers?
Most of the work in Veterinary Assistants and Laboratory Animal Caretakers still leans on things AI struggles with — research rates its theoretical AI reach at only ~22%, and real-world use lower still.
O*NET-SOC 31-9096
How your 26 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 (~22%). By late 2025, real-world AI use had reached about 2% of its task activity (still rare). 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 (~22%), real-world use (~2%) 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 26 tasks, ratedBased on real task-level AI scores — click to collapse
- Record information relating to animal genealogy, feeding schedules, appearance, behavior, or breeding.
- Write reports, maintain research information, or perform clerical duties.
- Perform accounting duties, such as bookkeeping, billing customers for services, or maintaining inventories.
- Fill medication prescriptions.
- Perform routine laboratory tests or diagnostic tests, such as taking or developing x-rays.
- Perform office reception duties, such as scheduling appointments or helping customers.
- Educate or advise clients on animal health care, nutrition, or behavior problems.
- Place orders to restock inventory of hospital or laboratory supplies.
- Sell pet food or supplies to customers.
- Hold or restrain animals during veterinary procedures.
- Monitor animals recovering from surgery and notify veterinarians of any unusual changes or symptoms.
- Clean and maintain kennels, animal holding areas, examination or operating rooms, or animal loading or unloading facilities to control the spread of disease.
- Examine animals to detect behavioral changes or clinical symptoms that could indicate illness or injury.
- Assist veterinarians in examining animals to determine the nature of illnesses or injuries.
- Administer medication, immunizations, or blood plasma to animals as prescribed by veterinarians.
- Collect laboratory specimens, such as blood, urine, or feces, for testing.
- Clean, maintain, and sterilize instruments or equipment.
- Provide emergency first aid to sick or injured animals.
- Prepare surgical equipment and pass instruments or materials to veterinarians during surgical procedures.
- Prepare examination or treatment rooms by stocking them with appropriate supplies.
- Prepare feed for animals according to specific instructions, such as diet lists or schedules.
- Provide assistance with euthanasia of animals or disposal of corpses.
- Perform hygiene-related duties, such as clipping animals' claws or cleaning and polishing teeth.
- Perform enemas, catheterizations, ear flushes, intravenous feedings, or gavages.
- Exercise animals or provide them with companionship.
- Dust, spray, or bathe animals to control insect pests.
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.