Ep. 101 - Jeff Wilser: How One Chatbot Cut Summer Melt in Half — The Signal

In a world drowning in AI hype, how do you separate what's actually useful from what's just shiny? And what happens when the people building AI can't even agree on where it's going?

Jeff Dillon sits down with Jeff Wilser, a journalist-turned-AI-strategist who has written for The New York Times, Wired, and GQ, hosted the AI Curious podcast (named by Inc. as one of the best ways to get AI savvy), and spoken at Davos. Jeff brings a reporter's instinct for cutting through noise and a storyteller's ability to make complex topics clear.

Jeff shares his "Curiosity Canvas" framework—starting with a "drudgery dump" to identify the boring, repetitive tasks AI can automate, freeing up time for what actually matters: human connection, creativity, and strategic thinking. He argues that the biggest mistake organizations make is using AI to cut rather than to grow.

He also tackles the existential tension in higher ed, referencing a business school dean who sees AI as a threat to universities while simultaneously driving 90% faculty adoption inside his own building. The takeaway: don't bury your head in the sand. Use AI to be more competitive, not to replace what makes education human.

And for anyone worried about what skills matter in an AI-driven world, Jeff's answer is simple: double down on curiosity. The tools will change constantly, but curiosity never goes out of style.

Key Takeaways

AI Should Empower, Not Eliminate: The goal isn't to replace humans with AI. It's to automate the drudgery so people can spend more time on high-value work—mentoring, brainstorming, building relationships, and thinking strategically.

The "Drudgery Dump" Is Your Starting Point: Make a list of the most boring, repetitive tasks you do—the things you could do while watching Netflix. Those are the tasks most ripe for AI automation.

The IKEA Example Is a Blueprint: IKEA didn't lay off 8,500 customer service agents when it introduced an AI chatbot. It retrained them as interior design advisors and generated €1.3 billion in new revenue. That's empower, not eliminate.

AI Should Solve Problems, Not Be a Coat of Paint: Jeff shares a cautionary tale of a hockey team that slapped "AI Night" on the jumbotron and used Snapchat-like filters. Fans come to watch hockey, not AI gimmicks. In higher ed, don't brand your solutions as "AI" just to sound innovative—focus on the actual problem being solved.

Curiosity Is the One Skill AI Can't Replace: Jeff Bezos says the most important attribute for a CEO is curiosity. Tools will change constantly, but curiosity—the drive to ask questions, explore, and learn—will never go out of style.

Use AI for Growth, Not Just Efficiency: Too many leaders ask, "How can AI help us do what we're already doing faster?" The better question is: "What could we be doing now that we couldn't do before because we have AI?"

Start with a 90-Day Roadmap, Not a Slide Deck: Jeff's workshops don't end with inspiration—they end with a plan. Build an accountability team, set a two-week proof-of-life milestone, and focus on both low-hanging fruit and bolder agentic workflows. Treat AI like any other project, not a mystical magic wand.

The Signal Newsletter:
https://edtechconnect.com/newsletter

Find Jeff Wilser:

https://www.linkedin.com/in/jeffwilser/

AI-C...

Chapters

(00:00:00) - To Prove You're Human, You Have to Stare Into
(00:00:46) - Jeff Wilser: The Curious Edge of AI
(00:02:02) - In the Elevator With AI's Legends
(00:04:08) - What's the Most Human Problem That AI Can't Help?
(00:08:12) - Jeff Dylan on When Will AI Give Us Free Money?
(00:13:09) - Matthew McConaughey: Take Control of Your Identity in AI
(00:15:15) - In the Elevator With AI: What's Useful?
(00:23:36) - The Importance of AI in Higher Ed
(00:27:27) - Using AI for AI's Sake
(00:30:17) - Jeff Bezos on the Need for Curiosity in AI Jobs
(00:32:30) - The Signal: Higher Ed Tech Insights