Veterinary AI Adoption Surges, but Operational Maturity Shapes Reported Outcomes

According to the 2026 veterinary AI survey released by Digitail and the American Animal Hospital Association (AAHA), 83.7% of 1,730 veterinary professionals surveyed in the United States and Canada said they use AI, compared with 39.2% in 2024. These are self-reported survey results, not a direct measure of use in every practice or evidence about the Korean market.

Among AI users, 88.3% reported using AI daily or weekly. Clinical documentation, including AI scribes and SOAP notes, was the most commonly reported application, at 62.8%. These figures describe respondents' reported use, not verified clinical effectiveness.

The survey assessed AI maturity across six dimensions, including strategy, governance, vendor evaluation, workflow integration, depth of use and organizational readiness. The reported average was 2.67 on a four-point scale. Practices at the highest maturity level reported more positive business outcomes than those at the lowest level.

That association does not prove that AI caused better outcomes. Both news reports relied on the same Digitail–AAHA survey rather than independent replications of its underlying findings.

Before adopting AI, a clinic can define the tasks it will support, who reviews its output, how errors are corrected, and which activities are prohibited. Contracts and internal policies should address patient information, privacy, data retention and staff training.

To assess an implementation, clinics can examine documentation time, review frequency, staff training costs and consultation workflows rather than relying on adoption rates alone. Results from a US–Canada self-reported sample should not be generalized to Korean practices without local evidence.