AI Resilience Report forVeterinary Technologists and Technicians

Right now, AI in veterinary clinics is mostly augmenting vet techs, not replacing them. The hands-on parts of your job — bathing animals, restraining a wiggly dog, placing an IV, suturing a wound, comforting a worried client — still need human hands, eyes, and empathy. Where AI is showing up is in the paperwork and diagnostic parts of the day.

A 2026 Instinct Science survey found that 48% of general practices reported using AI in some capacity, primarily for medical record and SOAP note creation (63%) and diagnostic support (38%), and nearly three-quarters of respondents using AI said the technology improved efficiency. Radiology is the other big area: the AVMA reports that eight companies worldwide currently offer AI software to review radiographs, producing everything from simple "yes or no" diagnoses to detailed narrative reports, and new tools classify, rotate, crop, and calibrate automatically… [and] can even detect poor alignment and tell the technician. UK trade publication Vet Times describes how AI-driven transcription tools record and summarize consultations automatically ^[1], freeing techs from charting so they can spend more time with patients.

A peer-reviewed 2026 study in Frontiers in Veterinary Science notes that 71.0% of respondents incorporated AI into their workflow, yet 44.6% of these active users reported low familiarity with the technology — meaning humans are still firmly in charge of interpreting results.

Adoption is moving quickly for software tasks and slowly for physical tasks. On the fast side, severe staffing shortages are pushing clinics to try anything that saves time — the U.S. Bureau of Labor Statistics projects that employment of veterinary technologists and technicians is projected to grow 9 percent from 2024 to 2034, much faster than the average for all occupations ^[2], and a 2026 industry report shows the demand for vet techs continues to outpace supply nationwide ^[3]. When techs are scarce, AI scribes and imaging helpers are an easy "yes." On the slower side, robots can't bathe a cat, place a catheter, or calm a scared puppy, so the core physical duties of the job are nearly impossible to automate with today's technology.

There are also trust and ethics speed bumps: AVMA panelists warned that "Humans are bad at standing their ground against automated systems… It's not enough to have a 'human in the loop.' It has to be an educated, confident human in the loop", and the American College of Veterinary Radiology's AI committee has yet to endorse any AI radiographic software ^[4] because of "black box" concerns. The bottom line for students considering this career: AI will likely take over typing notes and flagging X-ray findings, but your animal-handling, communication, and clinical-judgment skills will be more valuable, not less.