The Day the World Changed

The Lanai

November 30, 2022. Kauai.

I had just finished delivering a keynote for Daikin. The room had been good. The audience had been engaged. I had walked off stage with the particular kind of calm that comes from knowing the work was honest and the room had received it. I had done my job. Now I was going to do the part of these trips I love most, which is the part where the speech is over and the people I love are sitting on a lanai and somebody hands me a drink.

It was Michael and me, and Darren and Whitney Dixon.

Darren and Whitney are old friends. They have been a client and a friend for decades. Darren owns Fyxify and MyHappyHome. He is one of the operators in the trades industry I have always considered well ahead of his time — the kind of person who sees what is coming roughly five years before the rest of the industry does, who takes positions other people think are eccentric until they turn out to be obvious, and who has built businesses on the strength of his own ability to see the thing before it has happened. He is exactly the kind of person you want sitting next to you when something is about to break in the world.

That night, on a lanai in Kauai, with the four of us drinking cocktails, watching the light go down over the Pacific — something broke.

My phone lit up.

Then Michael’s phone lit up.

Then Darren’s phone lit up.

Three calls coming in within seconds of each other. All three from members of my own family who work at the agency. Torel. Liz. Allula. My son and the two young people I have helped raise into the next generation of CI Web Group leadership. The three of them were calling from our office, calling at the same time, calling because they could not wait until I came home.

I picked up.

They were freaking out.

There was a website that had just launched. They were trying to describe it. They were trying to describe it the way people try to describe things they have not yet built the language for. They kept saying the same phrase. They kept saying it in slightly different ways.

“This is going to change everything.”

The website was called ChatGPT. It had launched that day.

I want to tell you, honestly, what happened in me when they said that sentence. I did not yet know what they were describing. I had not yet seen the product. I had not yet typed a single prompt. The technical details — transformer architecture, large language models, reinforcement learning from human feedback, the entire vocabulary of the field that was about to dominate every conversation in the technology industry for the next three years — none of that was in my head yet. What was in my head was three voices, calling from the same office, telling me at the same time, in the same tone, that something had just landed in the world that was about to rearrange it.

I trusted the voices.

These were not random callers. These were the three young people who had been raised, in some real sense, inside CI Web Group. Torel had been in our offices since he was a child. Liz and Allula had grown into the agency alongside him. They had been watching the technology landscape for years. They had earned the right to be the canary in the coal mine, because they had spent their entire working lives developing the instinct for when something was about to matter.

When the three of them called me at once, freaking out, I did not need to ask whether they were right. I just needed to start figuring out what to do.

I hung up. I looked at Michael. I looked at Darren. I looked at the Pacific.

And then — and this is the part I want you to hear, because it is the part the rest of this book depends on — something happened in me that I have not been able to fully describe to anyone in the three and a half years since.

I could see the future without it even happening yet.

I do not say that to make myself sound prescient. I am, at fifty-something, well past the point of needing to position myself as ahead of anything. I say it because that is what actually happened. I sat on a lanai in Kauai, with a drink in my hand, and I saw, in roughly the same instant, several things I had not seen before.

I saw that the technology three young people in my office were freaking out about was not a feature. It was a paradigm shift. I saw that the way every single business in our economy was about to operate was about to change in ways the people running those businesses had not yet imagined. I saw that the contractor in his truck on a Tuesday morning, the homeowner typing into a search bar from her kitchen, the manufacturer designing the next generation of equipment, the distributor moving inventory through the supply chain, the agency selling marketing services into the trades — all of those people were about to be reorganized, in a structural way, by a technology that had been live for less than a day.

I saw that my agency, CI Web Group, was about to need to become a different agency than the one I had built. I saw that the team I had assembled for the era I was leaving was not, in many cases, going to be the team for the era I was entering. I saw that some of the work we were doing for clients was about to become obsolete. I saw that some of the work we had been afraid to do was about to become essential. I saw that the calendar of the next five years was going to be the most demanding period of my career and possibly of my life.

I saw, with a kind of clarity that does not arrive often and that I have learned not to argue with when it does, that this was the moment.

Not a moment. The moment.

I want to be careful about the language here, because I know what it sounds like to a reader who is encountering this kind of recognition for the first time. It sounds like overclaiming. It sounds like the kind of after-the-fact narrative that founders construct to make their luck look like vision. I have read enough business memoirs to know that almost every one of them contains a moment like this, and that almost all of those moments are reverse-engineered.

This one was not.

I have evidence. I have the people who were on the lanai with me. I have the kids on the phone. I have the calendar of what I did over the following weeks and months — the meetings I called, the systems I started rebuilding, the people I started training, the bets I started placing in the operational architecture of the agency. I have the trail of decisions I made in December of 2022 and January of 2023 and February of 2023 that nobody in their right mind would have made if they had not seen what I saw on that lanai. I have the structural changes that began the next morning.

And I have, twenty pages from now, a chapter that is going to walk you through what happened to my company between November 30, 2022 and the day I am writing this paragraph. 320 people became 38. The work changed. The clients changed. The infrastructure changed. The way we measured the work changed. The conversations we had with each other in the office changed. Every one of those changes was a consequence of the recognition I had on that lanai, and every one of them was a bet I would have lost, badly, if the recognition had been wrong.

It was not wrong.

Three and a half years later, every operating decision I made in the weeks after that lanai has been validated by what the technology actually did. Some of them were validated faster than I expected. Some of them took longer. None of them, as of the time of this writing, has been falsified. The future I saw without it happening yet has, in the broad strokes, happened.

That is what I want this chapter to do for you. Not to brag about a single moment of insight. To tell you, plainly and without dressing up the story, what it feels like in your body when you are the person in the room who can see the next decade before the rest of the room can. And to tell you what to do about it.

Because the answer is not to wait for somebody else to confirm what you are seeing.

The answer is to start moving.

What This Book Is About

This book is about that recognition, and the years that followed it.

Everything in this book before this chapter — my father, the rings of Saturn, the founding of CI Web Group, the year the bet worked twice in 2008, the strategic narrowing in 2010, the operating discipline of telling buyers what they did not want to hear about things that were about to be true — all of that was the runway. This is the chapter where the plane takes off.

From here forward, the book changes register. The chapters that follow are about three things: change, speed, and prediction. Change is the era we are inside of, and the era your business has to be ready for. Speed is the operating discipline that determines whether you survive it. Prediction is the trainable instinct that makes speed possible without making it reckless. The rest of the book is the operating manual for all three.

Speed is the variable the trades industry, in particular, has not yet fully internalized. Speed is the variable that is going to separate the contractors who dominate their markets in 2030 from the contractors who are still trying to figure out what happened. Speed is the variable that is going to separate the agencies and the manufacturers and the distributors and the technology platforms that survive this transition from the ones that do not. Speed is, frankly, what my career has been built on — not the speed of moving fast for its own sake, but the speed of recognizing what is happening and acting on the recognition before the recognition becomes obvious.

My father taught me speed when he showed me Saturn through a telescope he had built in our garage. He taught me speed when he turned down Bill Gates and Paul Allen and never apologized for it. He taught me speed when he shipped nine games on a forty-eight-kilobyte machine while holding down a full-time engineering job. The lesson, every time, was the same: the people who win the next decade are the people who recognize the next decade is starting before the rest of the room does. The people who lose are the people who wait.

I have watched this dynamic play out, in the trades industry specifically, more times than I can count. I watched it in 2008 with SEO, when three contractors raised their hands at the Mitsubishi Diamond Dealer conference and the rest of the room did not. I watched it in the 2010s with content marketing, when a small group of contractors built authority while the rest of the industry was still buying paid leads. I have watched it now, in real time, since November 30, 2022, with AI.

Every time, the pattern is the same. A small number of people in the room recognize the moment when it arrives. The rest of the room takes between three and seven years to catch up. By the time the rest of the room catches up, the early movers have built an unassailable position. The room then spends another three to five years trying to figure out how the early movers got so far ahead, while a new moment is breaking that the same early movers have already started to recognize.

This book is about how to be one of the people in the room who recognizes the moment. How to develop the instinct for prediction. How to test what you are seeing without waiting for permission. How to act on what you are seeing without losing your nerve when the rest of the industry tells you that you are wrong. How to rebuild your organization while the work continues. How to lead the people who are going to come with you and how to honorably part ways with the people who are not.

Most operators, when this kind of recognition arrives, do not act on it. They explain it away. They tell themselves it is hype. They tell themselves they will wait for the technology to mature. They tell themselves they will move once the data is in. They tell themselves a dozen reasonable-sounding versions of the same sentence, which is: I do not have to act on this yet.

They do.

That is what this book is about.

The Three Voices

I want to come back to the three young people on the phone, because they matter to the rest of this book and the reader needs to know who they are.

Torel is my son. The reader has met him already. He was twelve when he sat in the 2010 leadership room and listened while a six-person leadership team — Chris Heney, Michael, Kathy Marshall, my father, me, and Torel himself — made the strategic decision that committed CI Web Group to the trades for the next two decades. He has been in the agency since before he could vote. By 2022, he was in his early twenties and operating as a working member of the team.

Liz and Allula came into the agency through Torel and stayed because they belonged. They are not blood family, but they are family in the way that the people you work with for years and choose to keep working with become family. Both of them grew into the company alongside my son. Both of them have, in the years since, become senior figures in our AI work. Liz is one of our senior AI vibe coders. Allula is one of our AI vibe coders. They are not engineers in the traditional credentialed sense. They are vibe coders — the new category of operator that the AI era has produced, the people who collaborate with the models the way an earlier generation of engineers collaborated with their compilers, who can ship working software faster and at higher quality by working alongside AI than most credentialed engineers can ship by working without it.

I have been raising them, in the operational sense of that word, for years.

On November 30, 2022, the three of them recognized what had happened roughly seventeen hours before I would have recognized it on my own. They did not need me to tell them ChatGPT was a paradigm shift. They saw it the moment they put their hands on it. They picked up the phone because they understood that the agency they worked at was about to need to change, and they were the canaries who got to the seam in the rock first.

That is what the three voices on the phone gave me. They gave me a head start on a recognition I would have arrived at anyway, but later. They gave me the seventeen hours that mattered, because in technology transitions of the magnitude AI represents, seventeen hours at the leading edge is not nothing. Seventeen hours is the difference between starting to think about it on November 30, 2022 and starting to think about it on December 1, 2022. The first version of CI Web Group’s AI program was sketched between those two dates, on the back of a napkin in a Kauai hotel room, while Michael was asleep and I was on a notepad I had asked the front desk to bring up because I could not wait to write things down.

Seventeen hours.

Most operators do not have three people in their office willing to call them at six in the evening on a Wednesday because something has just changed. Most operators have a culture in which the people closest to the leading edge are afraid to call. They are afraid of looking foolish. They are afraid of overreacting. They are afraid of the boss saying “I don’t want to hear about it until it has matured.” They are afraid of their own enthusiasm being received as immaturity.

If you are running an organization right now and you have a culture in which the people at the leading edge are not calling you the night something breaks — fix that, before you do anything else. The seventeen hours you lose because nobody on your team feels permitted to call you with the news is the difference between your company’s next decade and your company’s last decade. I am being literal.

The three voices on the phone are why CI Web Group is on the inside of the AI era rather than the outside of it.

I want you to build a company in which somebody on your team is allowed to call you at six in the evening on a Wednesday.

That is the first lesson of this chapter.

The Notepad

I went back to my room. I asked the front desk for a notepad. They sent one up.

Michael had gone to sleep. The Pacific was dark outside the window. I sat at the desk in the hotel room with the notepad and a pen, and I started writing down everything I had seen on the lanai.

Not in any organized way. Not in a structure I could have shown to anybody. Just the raw output of a brain that had just registered a paradigm shift and could not afford to lose any of it. I wrote down the names of the clients I thought were going to be most exposed by the change. I wrote down the names of the team members I thought would adapt fastest. I wrote down the names of the team members I worried about. I wrote down the words “what is going to happen to search?” I wrote down the words “what is going to happen to content?” I wrote down the words “what is going to happen to the agency model itself?”

I wrote down a phrase that did not yet have a framework attached to it. The phrase was “agent answer optimization.” I had no idea, in November 2022, that this phrase was going to become the name of an operating framework I would publish from stages and develop into a complete strategic discipline by 2025. I just wrote it down, because something in my brain had registered that the next era of search was not going to be about ranking on a page of links. The next era of search was going to be about being the source an agent cites when an agent is asked a question on behalf of a human.

I was wrong about almost none of what I wrote on that notepad.

That is not a brag. It is a piece of operating evidence that I want you to register, because it tells you something about what kind of recognition I had that night and what kind of book this is going to be from here forward. The recognition was not a hunch. It was structural. The structure of what was about to happen to search, to content, to the agency model, to the trades industry, to the operators who were about to win and the operators who were about to lose — that structure was visible to me on the notepad, in real time, on the night of the recognition.

I am going to walk you through that structure, in detail, in the chapters that follow.

I am going to tell you what I did with the notepad in the days and weeks that followed. I am going to tell you about the restructure that right-sized the agency in stages — 320 people to 250, 250 to 140, 140 to the 38 I run it with today. I am going to tell you about the systems we built and the systems we tore down. I am going to tell you about the clients who came with us and the clients who did not. I am going to tell you about the conversations I had with the team in 2023, and the conversations I have with the team now, and the conversations I expect to have with the team in 2027 when whatever is breaking next breaks.

And I am going to tell you what to do.

Because that is what this book is for.

It is not a memoir of a recognition. It is a manual for being the person in the room who has the recognition and acts on it before the room does.

The Cost of Waiting

Here is the thing about recognition.

Most operators, when a recognition like the one I had on the lanai arrives, do not act on it. They put the recognition in a folder labeled “things I will think about more carefully when I have time.” They tell themselves they will revisit it next quarter. They tell themselves they will form a working group. They tell themselves they will hire a consultant. They tell themselves a dozen versions of the same operating posture, which is: I will treat this recognition as information rather than as a directive.

That is the wrong posture.

A recognition of the kind I had on November 30, 2022 is not information. It is a directive. The brain, when it registers a paradigm shift, is not asking you to think about it more carefully. It is telling you the world has just changed and that your operating choices have to change with it. The recognition is the action. There is no pause between them. The pause is the failure mode.

I want to tell you something about the trades industry specifically, because the trades industry is the audience for this book and the cost of waiting in the trades industry is concrete and measurable.

Every contractor I work with who recognized AI as a paradigm shift in the first six months after ChatGPT launched is, three and a half years later, in a stronger competitive position than the contractors who waited. Every contractor who waited until 2024 to start thinking about it is roughly two years behind. Every contractor who is still telling themselves AI is a fad in 2026 is, frankly, in trouble. Some of them know they are in trouble. Most of them do not yet.

This is not a prediction. This is what I am watching, in real time, in the actual book of business of the actual agency I run, every week, for hundreds of contractor clients across the country. The pattern is consistent. The early movers compounded. The waiters did not. The deniers are losing market share to operators they have not yet identified as competitors.

And the same dynamic is true at every other layer of the trades supply chain. Manufacturers who recognized are ahead. Manufacturers who waited are behind. Distributors who recognized are ahead. Distributors who waited are behind. Marketing agencies who recognized are ahead. Marketing agencies who waited are behind. Service Nation, Ferguson, Daikin, the major industry associations and partners I work with most closely — the leadership at each of those organizations who recognized early is, in 2026, executing on infrastructure decisions the leadership who waited has not yet started thinking about.

The cost of waiting is the next decade of your business.

That sentence is the operating thesis of this book.

The cost of waiting is the next decade of your business.

If you are reading this and you have not yet acted on the AI recognition, the most important thing I can tell you is that the cost of waiting has not yet come due. It is coming. The bill is being prepared. You will not see it until it arrives, at which point most of the operators who waited will not be able to pay it. By the time you can see the bill, the operators who acted will already have built positions you cannot catch.

So act.

The rest of this book is about how.

What Comes Next

Before we leave the lanai, I want to tell you what the rest of this book is going to do.

The next chapter is about the restructure. 320 people. Thirty-eight. One stage at a time. Why I did it, how I did it, what I learned from it, and what I would do differently if I had to do it again. That chapter is the operating story of how a CEO actually rebuilds an organization for a new era while the old era is still paying the bills. It is, I think, the most honest version of that story I am capable of writing.

The chapter after that is about my father’s death.

I have been holding it for the structurally correct moment, and the structurally correct moment is the chapter where you, the reader, have just been told that the operating thesis of this book is that AI is reorganizing the world and the cost of waiting is the next decade of your business. That thesis cannot be presented honestly without telling you what AI cost my family in 2019 — not because the technology that killed him was AI, but because the absence of the kind of AI we are about to be capable of building is what made the medical decisions that ended his life as fragile as they were. I am going to walk you through that chapter as carefully as I am capable of walking. It is the chapter that will explain why I have given my career to this work.

After that, the book gets operationally specific. There is going to be a chapter on what I call AAO — Agent Answer Optimization — which is the framework I have been developing since the night of the notepad and which I believe will be, by 2030, the dominant operating framework for how businesses think about being findable in an agent-driven world. There is going to be a chapter on speed — not as a slogan, but as an operating discipline you can train. There is going to be a chapter on prediction — the actual habits of mind that let some operators see the next decade and others not. There is going to be a chapter on the necessary decisions — the operating choices that contractors, agencies, manufacturers, and distributors have to make right now, and the order in which to make them. And there is going to be a chapter on the technology stack itself — HydraOS, OnePath.AI, the ecosystem of companies serving the trades, what we have been building, why we built it that way, and what it does for the contractor in his truck on a Tuesday morning.

Then the book turns to the future.

I am going to tell you what I think is coming. I am going to be specific about it. I am going to tell you about embodied intelligence, about the supernova moment when AI begins to recursively improve itself, about the AGI horizon, about robotics and dexterity and the convergence of digital, electromechanical, and material intelligence into systems that are about to do things human beings have never seen any technology do. I am going to tell you what I think this means for the trades. I am going to tell you what I think it means for the global economy, for labor, for governance, for the United States, for the country my grandson is going to grow up in.

And I am going to close on Dallas.

Because the line that started in my father’s garage — the line that ran through me, the line that runs through my son, the line that now runs through my grandson — that line is the reason I am writing this book at all. The technology revolution we are inside of right now is the most consequential single development in the history of the human species, in my honest opinion, and the people I love most are going to live the rest of their lives inside the world it is creating. I am responsible for what they inherit. So is everyone reading this book. The work we do right now, in the next three to five years, is going to determine the shape of the world Dallas Kevin Bagley-Slone grows up in.

That is the stake. That is the reason this book is not really a memoir, and is not really a business book, and is not really a forecast — it is all three of those things, in a single document, because the moment we are inside of requires all three.

But none of it would have happened without November 30, 2022.

Without three young people on a phone call to a lanai.

Without a notepad I asked the front desk to bring up to my room.

Without the moment when I saw the future without it happening yet.

That is where the rest of this book starts.

The lanai. The phone call. The cocktail going warm in my hand. Michael putting his hand on my shoulder, the way Michael does, and asking if I was okay. The Pacific. The notepad. The phrase “agent answer optimization” written in my own handwriting on a piece of hotel stationery that I still have, in a drawer in my office, three and a half years later.

That is where the bet started.

Everyone on our team had the opportunity to stay, learn and evolve.

Thirty-eight did.

That is the next chapter.