What actually happens when academic research meets the boardroom? Peter Winick sits down with Nate Bennett — professor of management and faculty director of the Executive MBA program at Georgia State University's J. Mack Robinson College of Business — for a candid look at the gap between what business scholars know and what business leaders actually use. Bennett has spent his career straddling three audiences: students preparing to lead, practicing managers looking for answers, and fellow academics who reward each other for depth over accessibility. He explains why so much scholarly work is, by design, written for a room of a handful of other researchers — and why that's not necessarily a flaw. The real skill, he argues, is knowing how to translate that work for people who don't have the patience for a slow academic build. In front of executives, you have to get to the punchline fast. But speed isn't the whole story: Bennett makes the case that curiosity and humility matter just as much as expertise, and that professors who walk into a room assuming they have nothing left to learn rarely land well. The conversation also turns to a subject on every thought leader's mind right now: AI. Bennett doesn't mince words about what's happened to platforms like LinkedIn, where he says the signal-to-noise ratio has collapsed under a wave of AI-generated posts. His take on the right way to use the technology is refreshingly practical — think of it as an invisible assistant, not a ghostwriter. He shares how he uses AI to reformat dense research into readable tables, and reflects on what schools should really be protecting when they worry about students using it to cut corners: not information recall, but the ability to think and read. This is a conversation for anyone trying to figure out where real expertise ends and real relevance begins — and what to keep, and what to let AI handle, along the way. Three Key Takeaways: • Academics write for three different audiences, and confusing them is a common trap. Scholarly work aimed at moving other researchers doesn't automatically translate into insight a practicing manager can use — the two require different pacing, structure, and even goals. • Curiosity and humility outperform "having the answer." Entering a room of executives assuming you're there to fill them with knowledge shuts the exchange down; entering curious, and open to having your thinking shaped by the room, produces a far better session. • The best use of AI is invisible. Rather than publishing AI-generated takes, the more valuable approach is using AI behind the scenes — as a tireless research and formatting assistant — while what actually gets published still reflects the author's own thinking. If Nate's take on translating dense expertise into ideas people actually act on resonated with you, that's exactly the terrain Peter Winick, Bill Sherman, and Naren Aryal cover in The Thought Leadership Handbook. Drawing on more than 700 conversations from this very podcast, the book lays out the same tension this episode explored — how to build ideas rigorous enough to hold up and accessible enough to spread — into a practical framework you can apply to your own thinking. Order The Thought Leadership Handbook today on Amazon, Barnes & Noble, Bookshop, or directly from Amplify, and learn more at thoughtleadershiphandbook.com.