Artificial intelligence use among veterinary professionals more than doubles in 2 years

The average score was 2.67 out of 4. Capability and readiness scored highest, and governance and oversight scored lowest, trailing by more than 1 point. Maturity tracked closely with results: level 1 practices reported an average of 0.64 positive outcomes, compared with 4.05 at level 4. Among level 1 practices, 70.9% reported no measurable impact, vs about 11% at levels 3 and 4.²

"Most surveys tell you how many veterinary professionals are using AI. Digitail wanted to know what separates practices seeing actual results from those seeing none, and what got them there," said Bill Voegeli, president of Association Insights, who led the research.¹

How practices are using AI

Clinical documentation, including AI scribes and SOAP notes, was the most common use, reported by 62.8% of AI users. Client communication followed, while diagnostic applications such as radiograph, laboratory, and cytology interpretation were less common. Practices used AI in an average of 3.33 areas.^1-2

Reported benefits included higher patient throughput (44.3%), better client retention or satisfaction (32%), and new or expanded digital services (29.2%). About 20% reported no measurable impact yet.²

Gaps in strategy and governance