Jason Szumski’s path reflects vet med’s growing AI career track

Version 2

A new Vet Life Reimagined episode puts a familiar veterinary pressure point, documentation overload, into a career story about speed, experimentation, and nontraditional leadership. The focus is Jason Szumski, DVM, a recent graduate who has gone from vet school into both clinical work and AI entrepreneurship, positioning himself as part of a younger cohort trying to build tools, not just use them. That framing fits the broader editorial arc of Vet Life Reimagined, which has recently highlighted veterinarians shaping the profession through unconventional paths, including Christie Long, DVM, a second-career veterinarian who came into the field from software and business and now helps lead care model innovation at Modern Animal, and Mike Mossop, DVM, whose work at CoVet centers on using AI and technology to support relationship-centered care. (vetmed.illinois.edu)

That backdrop matters. Veterinary medicine has spent the past several years wrestling with burnout, staffing strain, and the administrative load that follows every appointment. AI scribes have emerged as one of the clearest near-term use cases because they target a problem clinicians already feel every day: unfinished records, after-hours charting, and the cognitive burden of documenting while trying to stay present with patients and pet parents. In a January 22, 2026, Cone of Shame episode, Dr. Andy Roark and Aaron Massecar, PhD, described the discussion around AI scribes as moving past sales language and toward what the evidence and tradeoffs actually show. That same people-first framing appears in Vet Life Reimagined’s AI coverage: in introducing a conversation with Mossop from VMX, host Megan Sprinkle pointed to AI as a likely “co-pilot” for veterinary teams, a super-functioning digital assistant meant to help practices serve people and pets more effectively rather than automate away the human core of care. (music.amazon.com)

Szumski’s own background helps explain why his story is resonating. The University of Illinois profiled him and co-founder Aaron Smiley, DVM, in April 2024 after they launched VetSOAP, an AI tool designed to create patient records from audio recordings. The school’s coverage described Szumski as heavily involved in leadership and communication work during vet school, while AAHA’s Trends magazine later listed VetSOAP among veterinary software innovators, naming Smiley and Szumski as founders. On the company site, VetSOAP says its platform offers live transcription, custom templates, cloud sync, and review-before-export workflows, underscoring that the product is meant to support, not replace, clinician judgment. In that sense, his story sits comfortably alongside other nontraditional veterinary leaders now getting attention: Long’s path into vet med began outside the profession entirely, and her episode emphasized how systems thinking, listening, and experimentation can shape more sustainable care models inside large organizations. (vetmed.illinois.edu)

The broader market context suggests this is no longer a fringe conversation. AAHA’s June 2024 coverage of a Digitail survey said 39.2% of veterinary professionals were using AI tools or software in their veterinary setting, and nearly 70% of those users reported using them daily or weekly. At the same time, respondents’ biggest concerns were reliability and accuracy, followed by data security and privacy. Those concerns show up repeatedly in industry commentary, including a 2025 dvm360 interview in which Kathleen Allison-Black, DVM, said she had trialed seven or eight scribe products and found major differences in transcription quality and hallucination risk. The profession’s public conversation is also broadening beyond simple efficiency claims. Mossop’s Vet Life Reimagined episode framed technology adoption around a larger question: whether AI can make veterinary medicine more human by improving patient care, client experience, and professional wellbeing without weakening the client relationship. (aaha.org)

Expert and industry reaction is increasingly pragmatic. Today’s Veterinary Business argued that AI scribes can reduce administrative burden and improve record consistency, while stressing that they can’t replace physical exams, surgery, or the human side of veterinary care. Allison-Black told dvm360 that ambient scribes helped eliminate hours of charting she once brought home, but she also emphasized subscription costs, implementation time, and the need for clinician review. More recently, companies such as CoVet have leaned into that same message, framing AI as a support layer for communication and continuity rather than an autonomous clinical actor. That language mirrors the tone of current podcast and conference discussion, where innovation is increasingly being presented not as disruption for its own sake, but as a way to build safer, more sustainable work for veterinary teams. (todaysveterinarybusiness.com)

Why it matters: For veterinary professionals, the Szumski profile is really about workforce evolution. It suggests that the profession’s next generation may contribute not only through patient care, but through software, workflow design, education, and entrepreneurship. That could be a meaningful development for a field still looking for sustainable ways to reduce friction in the workday. But it also raises a practical challenge for clinics, educators, and employers: if AI literacy is becoming part of veterinary leadership, then training will need to cover tool evaluation, documentation standards, privacy, and the limits of automation, not just enthusiasm for innovation. The larger Vet Life Reimagined pattern reinforces that point. Long’s story argues that veterinary medicine benefits when it welcomes people with outside experience in systems, business, and innovation, while Mossop’s emphasizes that technology strategy has to stay grounded in values and relationships if it is going to improve care rather than just speed up tasks. (vetmed.illinois.edu)

There’s also a cultural angle. Stories like this can help normalize nontraditional career paths for early-career veterinarians, especially those interested in product development, consulting, or startup work. That may broaden how the profession thinks about retention and impact. A veterinarian who helps remove one hour of charting from hundreds of clinicians’ days may be shaping care delivery in a different, but still meaningful, way. That’s an inference from the trendline, but it fits the direction of current industry conversation around AI as a workflow tool first, and a clinical support tool second. It also fits the wider message emerging from these Vet Life Reimagined episodes: that the future of vet med may be shaped as much by people willing to pivot, experiment, and build across disciplines as by those following a traditional clinical ladder. (prnewswire.com)

What to watch: The next phase will be less about whether veterinary AI exists and more about which tools earn trust, integrate cleanly into practice software, and show they can improve records without introducing new liability, privacy, or accuracy problems. Expect more scrutiny from clinicians, more competition among vendors, and more demand for evidence-based implementation guidance. And expect the profession to keep debating a related question raised across these conversations: not just whether AI saves time, but whether it can do so while preserving the listening, relationships, and clinical presence that define good veterinary care. (dvm360.com)