Disruption Is Already Here: AI and the Future of Veterinary Medicine

Key Takeaways from Our Conversation with Aaron Massecar, PhD

The future isn’t coming—it’s already here. That was the core message in our recent GuardianVets webinar with guest speaker Aaron Massecar, VP of Partnerships at CoVet. With humor, insight, and deep experience in veterinary innovation, Aaron helped unpack what AI really means for veterinary teams today—and what we can do to prepare for tomorrow.

Here are a few standout takeaways from the conversation:

1. AI is Impacting Every Corner of Vet Med

From radiology and medical recordkeeping to inventory and communication, AI is already touching nearly every aspect of practice operations. It’s not just coming—it’s already here, though often “unevenly distributed” across the profession.

2. Disruption Happens When Simpler, Faster, Cheaper Options Win

Disruptive innovations, like Netflix or Uber, succeed when they meet needs more efficiently. In veterinary medicine, high costs, complexity, underserved clients, and eroding trust create ideal conditions for disruption. AI is the trigger.

3. Radiology and Scribing Are Leading the Charge

Tools like SignalPET and AI scribes are revolutionizing how cases are managed. AI-powered radiology solutions can already read millions of studies annually—far beyond a human’s lifetime capacity. Scribing tools are saving clinicians 1–2 hours per day and improving client communication by allowing vets to focus on the pet and pet owner, not the keyboard.

4. AI Isn’t About Replacement—It’s About Refocus

The best applications of AI reduce low-value, repetitive work, allowing teams to refocus on high-impact patient care and client connection. As Aaron said, “Which kind of veterinarian do you want to be? The one who says ‘AI is taking my job’ or the one who says ‘Look how much more I can do’?”

5. Yes, Risks Exist—but So Do Guardrails

Aaron addressed concerns about AI “hallucinations,” data privacy, and liability. His advice: Know your tools. Ask about accuracy rates, training datasets, and where the technology doesn’t perform well. In the end, it’s still your medical decision-making on the line.

6. Practical Tips: Don’t Just Watch—Try

• Identify pain points in your current workflow
• Explore pilot opportunities for solutions that match those challenges
• Set SOPs and bring your team along for the ride
• Keep learning and asking questions—AI is evolving fast

Want to Dive Deeper?

The full replay is now available on-demand. Watch the full conversation and see how your team can start using AI to improve efficiency, reduce burnout, and better serve your clients and patients.

CLICK HERE to Watch the On-Demand Webinar