How the University of Kentucky is Building AI-Forward Culture and Driving Economic Impact

Send us Fan MailProtecting intellectual property at a university should come before sharing itIan McClure, Vice President of Research and Innovation at the University of Kentucky, makes the case that intellectual property isn't a barrier to innovation — it's the scaffolding that makes innovation possible. In a wide-ranging conversation with host Bruce Berman, Ian discusses how UK is leading a $200 million AI transformation strategy, why spinning out startups generates 50% more local economic impact than publishing alone, and how universities must evolve their promotion and tenure systems to truly reward innovation.Drawing on his background in M&A law, IP transactions, and his tenure as president of the Association of University Technology Managers (AUTM), Ian brings a rare combination of legal, commercial, and academic expertise to every topic — from the ethics of AI adoption to the practical challenge of getting researchers to file a provisional patent before they publish.Key TakeawaysSpinning out a startup from university research generates 50% more local economic impact than publishing alone without IP protection.The value of intellectual property exists if — and only to the extent — it is enforceable. Willingness to enforce matters as much as the scope of the patent.Universities are uniquely positioned to study AI adoption because they host every level of sophistication, from first-generation students to decades-experienced AI researchers.UK's Commonwealth AI Transdisciplinary Strategy (CATS AI) is a $200 million, three-to-five-year holistic framework for preparing an entire institution for the AI era.Startup IP strategy is central to tech transfer: IP protection attracts outside capital, creates jobs, and keeps economic benefits local.The promotion and tenure system at most universities still biases researchers toward publication over patenting — and changing those incentives is a major needle-mover.AI is accelerating the pace of drug discovery and research, compressing timelines that once took years into months.IP is the necessary governance layer that enables responsible AI innovation without stifling it the way premature over-regulation might.Universities must balance curiosity-driven basic research with use-inspired research that responds to state and industry needs.Fear of AI is valid and must be acknowledged — but institutions need structured, flexible frameworks to help every stakeholder move forward.00:00  Introduction & opening quote02:06  Ian's role at University of Kentucky02:34  Challenges of AI adoption at a research university05:30  The CATS AI strategy: origins and scope08:00  How UK measures success across the institution11:54  Addressing fear and resistance around AI13:44  IP challenges at the intersection of AI and research17:43  Licensing AI tools and IP as innovation scaffolding21:42  UK's Microsoft Copilot partnership explained22:09  Choosing an enterprise AI partner25:38  Key concerns for tech transfer executives today28:27  The case for university spin-outs31:15  Why researchers resist filing patents before publishing32:26  Reforming promotion and tenure to reward innovation35:47  Enforceability: the mantra Ian teaches in law school38:16  Balancing basic research with industry-responsive research41:25  Ian's first encounter with IP: a merger that fell apart43:31  Final thoughts: IP, AI, and embracing the transformation eraSupport the showUnderstanding IP Matters is brought to you by the nonprofit Center for Intellectual Property Understanding (CIPU) with generous support from its partners and sponsors. The podcast provides leading innovators and experts the space to share their IP stories.Subscribe on your platform of choice or visit understandingip.org. To reach us: [email protected]