The First Episode Was Just Me Talking to a Microphone
July 2019. I'm in a studio in Bryan, Texas, recording what would become the InsurTech Geek Podcast — spelled "InsureTech" with an E back then — that was the common alternate spelling the industry used in the early days. First episode: 45 minutes. Just me. Explaining what the show was going to be.
My topic list that day included predictive analytics, chatbots, AI, robotics, RPA, telematics, wearables, portals, EDI, and — I said this directly — "one of my favorite topics, blockchain."
You can date that list without a timestamp. No GenAI. No LLMs. No agentic AI. Blockchain front and center. Within 18 months, I'd stopped mentioning blockchain almost entirely. Not because I planned to. Because the conversations stopped going there.
What 156 Guests Actually Taught Me
Every guest came with a specific frame. Founders, carriers, MGAs, reinsurers, data scientists, regulators, venture capitalists, loss control specialists. 156 people who agreed to sit across from me and explain how they saw the world.
Here's what happens when you do that many conversations over seven years: you start hearing what's signal and what's noise. It's not complicated. When 12 separate founders in 12 separate episodes — none of whom knew what the others said — all tell you the same thing, that's signal. When one charismatic person says something provocative and the next 20 people never bring it up? That's one person having an opinion.
The blockchain conversation disappeared exactly that way. The GenAI conversation arrived exactly that way — slow at first, then suddenly everyone, then I had to start asking people to slow down and explain what they were actually doing with it, not what they hoped it would do.
Industries Don't Change in Straight Lines
What the podcast revealed, across seven years, is that insurtech didn't disrupt insurance. It went through a cycle. Hype. Hangover. Consolidation. Adoption. That's not a criticism — that's just how it works. Every industry that's actually changed has gone through some version of that sequence.
The hype phase sounds like revolution. Everyone's going to be disrupted. Incumbents are dinosaurs. The startups are going to eat the market.
Then the hangover. Capital gets expensive. Burn rates matter. Companies that had valuations built on optimism have to build actual books of business. Some don't make it.
Then consolidation — the ones who were quietly building real things while everyone else was pitching press releases start to look a lot smarter.
Then adoption. Not disruption. Adoption. The carriers are still here. The MGAs are still here. But the way they operate looks different than it did in 2019.
The people who are most right about where industries are going are rarely the ones shouting about disruption. They're the ones quietly building for 10-year adoption curves. — James Benham
I've said this out loud probably a dozen times in the last two years. It's the thing I wish I'd understood better when I started the show.
Why the Book Had to Happen
I started writing Geek Out: Ten Years of InsurTech, Told by the People Who Built It because I realized what we'd actually built wasn't just a podcast. It was a longitudinal dataset. 174 episodes of people telling us what they believed, when they believed it, and why.
That's rare. Most industry coverage is a snapshot. We had a time series. You could watch the conversation about usage-based insurance shift from "this is coming" to "we're doing this" to "we're learning what works." You could watch the language around AI change three distinct times — the pre-GenAI version, the ChatGPT-shock version, and the "okay let's actually implement something" version.
Pattern-level learning is different from episode-level learning. Any single conversation can be misleading. Patterns across 156 conversations are much harder to argue with.
The Thing I Got Wrong
I started this show thinking the most interesting guests would be the ones with the boldest predictions. I was wrong. The most useful guests were the ones who'd been wrong before and knew it. The people who had clear-eyed views on where things were, not just where they hoped things were going.
The loudest voices in any industry moment are usually the ones least equipped to tell you what actually sticks. The people doing the slow, unglamorous work of integrating new tech into 40-year-old systems, dealing with state regulators, training underwriters to trust a model — those are the people who understand adoption. They're just not as fun to quote in a headline.
Seven years in, I'd take a boring guest who's built something real over a charismatic founder promising revolution every single time. The revolution always takes longer than the pitch deck says. The boring people are usually still around when it arrives.