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Surge in AI Adoption in Veterinary Practices

According to the latest findings from the 2026 Veterinary AI Study conducted by Digitail in partnership with the American Animal Hospital Association (AAHA), artificial intelligence (AI) has experienced an impressive surge in adoption among veterinary professionals. The study reports that 83.7% of veterinary practitioners in the United States and Canada are utilizing AI tools, a remarkable increase from 39.2% in 2024. This shift not only marks a significant transition in the veterinary profession but also highlights the strategic advantages for those practices implementing AI effectively.

Study Overview

The research incorporated the responses of 1,730 veterinary professionals and aimed to analyze the perception and application of AI in the field. As a follow-up to previous cycles, this year's study focused on how AI is integrated into daily workflows and its implications for business outcomes.

As the study's CEO, Sebastian Gabor, noted, the question has moved from whether the veterinary community would embrace AI technologies to how effectively these tools are being utilized to enhance practice performance. The study placed a strong emphasis on the AI maturity model, which assesses how well practices have integrated AI into their operations.

Key Findings

Daily Engagement and User Experience

A significant 88.3% of AI users engage with AI tools on a weekly or daily basis, showcasing the growing reliance on these technologies. Among the various applications, clinical documentation—such as AI scribes and SOAP notes—was the most common use case, with 62.8% of AI users reporting its implementation. Notably, 38.9% of these users have even attempted to create their own AI agents, which illustrates the enthusiasm for personalized AI solutions in veterinary care.

The Rapid Adoption vs. Infrastructure

While the increase in AI adoption is promising, the study also uncovered that many practices incorporated AI technologies without modifying their existing workflows. Approximately 65.2% of practices added AI tools without making significant changes, resulting in a gap between technology adoption and structured strategy. Alarmingly, nearly half of the surveyed practices lacked a defined AI strategy, with close to a third not having any governance in place for AI use. The average AI maturity score for these practices stood at 2.67 out of 4, indicating that while practices are moving beyond mere experimentation, most still lack a deliberate, structured approach.

Concerns and Obstacles

Interestingly, fears surrounding job displacement have notably decreased from 37.2% in 2024 to 20% in 2026. However, new concerns have emerged, specifically regarding data security and the need for adequate training on AI systems. This evolution in worries reflects a greater awareness and understanding of AI as a valuable tool rather than a threat to job security.

Increased Revenue Through Maturity

The findings indicate a clear correlation between AI maturity and business outcomes. Practices with a higher maturity score report achieving six times the business results of those with lower scores. This statistic underscores the importance of developing a strategic framework alongside AI implementation.

Bill Voegeli, president of Association Insights, added that this maturity model serves as a vital tool for veterinary practices to recognize the distinctions between those that derive tangible benefits from AI and those that do not. The emphasis on strategy, governance, and workflow integration is critical in realizing the full potential of AI.

Conclusion

As veterinary practices increasingly embrace AI as part of their standard operations, the focus must shift towards creating robust strategies and governance structures. This not only maximizes the technological advantages but also drives significant improvements in patient care and operational efficiency. The comprehensive findings from the study are available in the full white paper on Digitail’s website, providing actionable insights for practices eager to optimize their use of AI in their operations. This pivotal transformation in veterinary medicine points to a future where AI is an integral component of clinic workflows, delivering improved patient outcomes and enhanced client satisfaction.