Re-underwriting speed: Data moats, AI, and the future of insurtech

In this episode of The Underwriting Intelligence Podcast, Amrit sits down with Scott Stephenson, former Chairman, President and CEO of Verisk, and currently Chairman to One Inc. to explore what it really takes to build enduring data and analytics businesses in insurance and why the rules of competitive advantage are rapidly changing in the age of AI.

Drawing on more than two decades leading one of the world’s most influential insurance data companies, Scott shares a masterclass on data moats, trust, vertical software, and the new pace of technology innovation. From the realities of assembling proprietary datasets to the future of insurtech competition, the conversation dives deep into how insurers and technology companies should rethink strategy in a world where software creation is becoming dramatically faster and cheaper.

In this episode, Amrit and Scott dive into: Why the strongest data moats are built over decades, not overnight How Verisk earned the trust required to steward highly sensitive insurance data Why proprietary data has become harder to assemble in today’s market The strategic implications of AI on vertical SaaS and insurtech competition Why insurers increasingly buy outcomes rather than isolated “point solutions” Why companies must “re-underwrite” the pace at which they operate in an AI-driven world

Whether you’re an insurer, founder, investor, or technology leader, this episode offers a sharp and deeply practical perspective on the future of insurance technology and what it takes to build lasting competitive advantage in a rapidly changing market.