The Ceiling Came Off
What happens when a skeptic who refused to touch AI walks into a mountain in Switzerland — and walks out unable to stop building.
I was the skeptic in the room
I want to start with something I don’t hear many people in the AI enthusiasm space admit: I was a naysayer.
Not philosophically. Not because I had some principled objection to artificial intelligence or thought the technology was overhyped. It was more practical than that — and more honest. I didn’t know which company to trust. The apps were proliferating faster than I could evaluate them. I manage risk for a living, and downloading an unknown application onto a device felt like exactly the kind of move I would tell someone else not to make. So I didn’t make it.
While colleagues were experimenting, I was watching from a distance. Not dismissively — I was paying attention. But I wasn’t in it. I hadn’t found the use case compelling enough to override the caution, and I wasn’t willing to just download something because everyone else was.
I was not an early adopter. I want to be clear about that because I think it matters for what comes next. The awakening I’m about to describe didn’t happen to someone who was primed for it. It happened to someone who had been actively resisting it.
I manage risk for a living. Downloading an unknown application felt like exactly the kind of move I would tell someone else not to make.
Switzerland
It started in the Swiss Alps.
I was in Switzerland for an engineering seminar — the kind of deep-dive technical program that reminds you why you got into this industry in the first place. We were touring the Linth-Linmern Pumped Storage Plant, one of the most extraordinary pieces of infrastructure engineering in the world. Hundreds of meters of tunnels carved through mountain rock. Turbines the size of buildings. Water stored at altitude and released on demand to generate power — a system so elegant in its logic that standing inside it felt like being inside a working proof of something important.
And somewhere inside that mountain, my mind did what it always does. It jumped.
Not to the engineering itself — I wasn’t trying to figure out how to build a pumped storage facility. What struck me was the experience my host had built around it. The depth of the technical education. The caliber of the practitioners in the room. The way the seminar used a physical place to make complex concepts visceral and real.
The question that formed was immediate: why doesn’t something like this exist in the US insurance market? What would it look like to bring this caliber of engineering education to American practitioners — the underwriters, risk managers, and brokers who make decisions about infrastructure every day without ever standing inside the things they’re pricing?
I pulled out my phone. I had finally downloaded ChatGPT a short time before — the one AI application I had decided I trusted enough to try. And for the first time I opened it with real intent. Not to answer a question. To build something.
The light bulb clicked. And it didn’t turn off.
Standing inside that mountain, the question formed immediately. I opened ChatGPT for the first time with real intent — not to answer a question, but to build something.
The to-do list I’d been carrying for years
I want to be honest about what I mean when I say the ceiling came off — because it sounds like hyperbole and it isn’t.
I have ADD. I am also a perfectionist. If you know anything about that combination, you understand the specific kind of torture it produces. A mind that generates ideas faster than most people can process them — and a standard for execution that most ideas can never meet before the next one arrives. The result, for most of my career, was a graveyard of half-started things. Ideas that were real and good and genuinely useful, abandoned not because they were wrong but because the gap between conception and execution was too wide to cross alone.
I had a to-do list in my head that had been accumulating for years. White papers I’d meant to write. Frameworks I’d sketched and never formalized. Business plans that existed as outlines and nothing more. Technology tools I could see clearly but had no way to build. Strategy documents that lived in my head and died there.
After Switzerland, I started attacking that list. Voraciously. One by one, then several at once. Writing guidelines. Building blueprints. Designing platforms. Drafting the documents that had been sitting in my mental queue for longer than I wanted to admit.
The AI wasn’t perfect at first. There were frustrations. It couldn’t always keep up with the pace of how I think — the jumps, the pivots, the simultaneous threads. But as the technology advanced, and as I learned how to work with it rather than just at it, something shifted. It started to feel less like using a tool and more like working with a partner who understood how my mind operated.
We worked and tweaked. And worked and tweaked. Until the gap between what I could imagine and what I could execute started to close.
I have accomplished more things in the past 9 months than in a lifetime of grinding out the monotonous day to day.
The drug nobody is talking about
I want to say something that might be uncomfortable, because I think it’s true and I don’t hear people saying it honestly.
This pace is addictive.
Constant development. Constant momentum. The feeling of ideas becoming real things in real time — it is genuinely intoxicating. And like anything that produces that kind of energy, it changes your baseline. What used to feel like normal productivity now feels like standing still. What used to feel like a good week now feels like a slow morning.
The downside is real: I have become more impatient with the world. Not in a way I’m proud of. In a way I’m learning to manage. When you can see what’s possible — when the tools exist, when the path is clear, when the only thing standing between an idea and its execution is the willingness to start — watching people choose not to start becomes genuinely difficult.
I struggle with people who have no creative vision, or who have made a kind of peace with being average that I can no longer understand. Not because average is a moral failure. But because the possibilities have become so visible to me that I can’t unsee them. And the gap between what could be built and what is being built feels urgent in a way it didn’t before.
The edge this creates is real. And it is not permanent.
The advantage is real. The window is open. And most people haven’t noticed yet.
The urgency nobody feels
Here’s what I keep coming back to. The gap between what experienced practitioners can build today versus what they could build 18 months ago is not incremental. It is structural.
And most organizations are waiting.
Not because they’re incompetent. Because bureaucracy moves at a speed that technology no longer respects.
The practitioners who are moving independently — building outside the container, developing the capability, closing their own execution gap — are accumulating an advantage right now that will be very difficult to replicate later. Not because the tools will disappear. Because the fluency, the instinct, the integrated way of working that comes from months of daily practice is not something you can compress into a weekend workshop next year.
I am not saying this to create anxiety. I am saying it because I lived on the other side of this line not long ago — cautious, watching, not yet in it. I remember exactly what it felt like to have the ideas without the tools. I remember the graveyard.
The graveyard is optional now. That’s the whole point.
The graveyard of half-started ideas is optional now. That’s the whole point.
What this awakening actually is
I want to be careful not to oversell this, because I think overselling is what makes people dismiss it.
This is not about AI being smarter than humans. It isn’t. It makes mistakes. It requires direction. It needs someone who knows what good looks like to tell it when it’s wrong.
What it is about is the execution gap. The specific, frustrating, career-long gap between what experienced people can see and what they can build. That gap just got a lot smaller. For people with deep domain expertise — people who have spent 20 or 25 years developing genuine mastery of complex fields — the tools that exist right now are not just useful. They are transformative in a way that is hard to articulate without sounding like you’ve joined a cult.
I haven’t joined a cult. I was a skeptic who couldn’t figure out which app to trust. I just finally downloaded one — inside a mountain in Switzerland, with an idea I couldn’t let go of — and discovered that the ceiling I’d been pressing against for 25 years wasn’t structural.
It was optional.
I started TECTIQ because I think there are a lot of people sitting where I was sitting before Switzerland — cautious, watching, not yet in it, with a graveyard of good ideas and no clear path to building them. This is for them.
The ceiling came off. Come see what’s up here.
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TECTIQ Group publishes practitioner intelligence for senior leaders at the intersection of domain expertise, operational risk, and emerging technology. At the Fault Line of Risk and Resilience.
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