Why AI adoption mirrors the 1970s calculator revolution — and why the people who embrace it early will have a lasting advantage. A night of real talk, real questions, and real people.
The theme of the night was a simple but powerful idea: AI is the calculator of our time. When pocket calculators became widely available in the 1970s, schools debated banning them. Teachers worried students would lose the ability to do arithmetic. Sound familiar?
What actually happened was the opposite. The people who learned to use calculators didn't become worse at math — they became free to focus on harder problems. The people who refused got left behind. The same thing is happening right now with AI.
We talked through what this means practically: not the hype, not the fear, but the honest reality of where AI is today, where it's going, and what it means to be an early adopter versus someone who waits until they have no choice.
Every transformative tool gets resisted first. Calculators, spreadsheets, the internet — AI follows the same pattern. Understanding the history helps you cut through the noise.
You don't need to understand how a calculator works to use one correctly. But understanding what AI actually does — predicting, summarizing, reasoning — makes you a dramatically better user.
AI removes the cognitive overhead of routine tasks — drafting, researching, formatting, summarizing — so you can focus on judgment, creativity, and the things only a person can do.
Calculators touched arithmetic. AI touches nearly every cognitive task: reading, writing, research, analysis, coding, communication. That's what makes this moment genuinely different.
"The calculator didn't replace the mathematician. It freed them. That's exactly what AI is doing right now — and this is the moment to decide which side of that you're on."
Eight people came through the doors on March 11. Some were family. Some were colleagues. One was a complete stranger who happened to walk past and see the banner — which, honestly, is exactly the kind of thing you hope for when you hang a banner. Every single one of them left with something useful.
The closest seat in the house — Mike's daughter came to see what all the AI talk was about. Having family show up to something you've built from scratch means everything, and Nina brought exactly the right combination of curiosity and willingness to ask the questions other people are thinking but won't say out loud.
Family has a way of grounding a room. Sammy showed up and brought that energy — the kind of person who keeps things real while also being genuinely engaged. The next generation of the family taking an interest in what AI actually is (not just what they've heard about it) is a good sign.
More family in the room — and that matters. These classes work best when people feel comfortable enough to ask the questions they'd be embarrassed to ask in a formal setting. Family makes the room feel like what it's supposed to be: a kitchen table conversation about something that matters.
A buddy who came out to support and ended up genuinely engaged in the material. That's the best outcome — someone who shows up as a friend and leaves as someone who actually understands what the conversation was about. Matthew is exactly the kind of person these classes are designed for: smart, capable, and ready to learn on his own terms.
Doug works with Mike and came out to see what this class thing was actually about. There's something different about watching a coworker in their element — outside the office, in a room they built, teaching something they care about. Doug brought good questions and a healthy dose of skepticism, which is exactly what a good class needs.
When former coworkers show up to something you're doing years later, it says something. Joanna made the trip out and engaged with the material thoughtfully — the kind of person who listens carefully before asking one precise, well-considered question that gets everyone thinking. That's a gift to a classroom.
Tom owns his own software design company — so when someone like that walks into an AI fundamentals class, it tells you something. It's not that he doesn't know the technology. It's that he understands the value of hearing it explained simply, from the ground up, in a way that cuts through the jargon. Tom's presence in the room was a real asset — his questions pushed the conversation to a higher level and he offered his own perspective on how AI is changing the work he does every day.
This is the one that says it all. Graham was walking by, saw the banner, and walked in. That's it. No prior registration, no connection to the lodge, just genuine curiosity and the willingness to act on it. He stayed the whole time, participated, and got as much out of the class as anyone. Graham is a reminder of exactly why these classes are held in a community space with the door open — because the people who need this most are sometimes just passing by and waiting for a reason to stop.
"Eight people walked in. Eight people left knowing something they didn't before.
That's what this is about."