The Gap Between AI Hype and What Actually Works in Sports with Scott Gutterman

If you’re going to talk about generative AI in sports, don’t start with the tools. Start with the operating model. Are you structured to deploy it at scale?

Scott Gutterman is back, drawing on two decades of experience inside one of the most complex sports in the world. His lens is operational. How do you prioritize? How do you govern? How do you create space for innovation without introducing chaos?

From there, Scott and Dave get tactical on AI — including what sports leaders often misunderstand, why most organizations stall after early pilots, and what it actually takes to move from POC to a durable, production-grade system. Scott also shares what he believes is overhyped vs. underhyped right now, and how operators should evaluate emerging technology without chasing noise.

In this episode, you’ll hear:

• How automation is reshaping the cost structure and scalability of content production in sports organizations
• What it takes to connect internal data systems so AI outputs are accurate, secure, and usable
• Why AI governance, monitoring, and security matters as much as model selection
• How headless architecture supports multi-platform fan distribution without rebuilding your stack every cycle
• The gap between AI demos that impress executives and systems that actually integrate into daily workflows

Resources and Links:

Connect with Scott Gutterman on LinkedIn and connect with Shripal Shah on LinkedIn.

Learn more about Next League on our website and LinkedIn. We are leading sports organizations into the digital future.