In the age of AI, anyone can build anything. Only one thing remains impossible to copy.
There is a particular kind of silence that follows a product launch when nobody comes.
Not the silence of a bad idea. Not the silence of broken code. The silence of something that works — technically, functionally, demonstrably works — sitting in the open, waiting, and being ignored.
I have heard this silence more than once. I have built products that solved real problems for real people, products where the logic was clean and the incentives were aligned and the market gap was genuinely there. I have watched them sit untouched while worse versions of the same idea, built by people with the right connections and the right story, moved through the world as if gravity didn’t apply to them.
For a long time, I thought this was bad luck. Then I thought it was execution. Then I thought it was market timing.
I was wrong about all of it. The real explanation is structural — and understanding it changes everything about how you think about building anything, in any industry, in any era.
But especially in this one.
The Moat, and Why It Kept Disappearing
In the language of competitive strategy, a “moat” is the thing that protects a business from being copied. The term comes from Warren Buffett, who used it to describe the invisible walls that keep competitors out — not the product itself, but the structural advantage that makes the product defensible over time.
For most of industrial history, the moat was technology. If you owned the machine, the patent, the manufacturing process, you owned the market. Ford didn’t just build cars — he built the assembly line, and for years nobody else could build cars as cheaply or as fast. The technology was the barrier. The technology was the moat.
Then came the information age, and technology stopped being enough. Knowledge diffused. Patents expired. The moat became data — the proprietary accumulation of information about users, behavior, markets. Google didn’t just have a search algorithm; it had a trillion searches, each one teaching the system something no competitor could replicate without starting over. The data was the moat.
Then came network effects. The moat became the network itself — the fact that your platform was valuable because everyone was already on it, and leaving meant leaving everyone behind. Visa is not the world’s dominant payment network because it has better technology than its competitors. It is dominant because every merchant accepts it, every bank issues it, and every cardholder carries it — a self-reinforcing loop that took decades to build and is nearly impossible to disrupt from the outside.
Each of these moats held for a generation. Each of them eventually eroded, or was circumvented, or became a different kind of moat than its builders had intended.
And now we are living through the destruction of all of them simultaneously.
What AI Actually Destroyed
I want to be precise here, because most of the conversation about AI and competition is imprecise in ways that matter.
When people say that AI is “disrupting” industries, they usually mean that AI is automating tasks that humans used to do — and this is true, and it is significant. But there is a second-order effect that receives far less attention, and it is the one that changes everything about building a business in 2025.
AI has collapsed the cost of creation to near zero.
Not metaphorically. Literally. A functional web application that would have required three months and a team of engineers in 2019 can be built by a single person in a weekend. A product that required $500,000 in development capital four years ago can be prototyped for $500 today. The technical barrier — the moat that protected every technology company simply by virtue of the difficulty of building things — has been effectively removed.
This sounds like good news. And in many ways it is. The democratization of creation is genuinely remarkable. People who were locked out of the technology economy by their lack of a computer science degree — people like me — can now build things that would previously have required entire engineering teams.
But here is what nobody tells you about the collapse of barriers to creation.
When creation becomes free, the bottleneck moves.
It moves — completely, entirely, with brutal simplicity — to one place: the moment when a stranger decides to trust you with their attention, their money, or their data.
That moment has not gotten cheaper. It has gotten more expensive. Because the supply of things asking for that trust has exploded, while the human capacity for trust has stayed exactly the same as it always was.
The Economics of Narrative
In 2019, Robert Shiller — Nobel laureate in economics, Yale professor — published a book that most people in the startup world either haven’t read or haven’t taken seriously enough. He called it Narrative Economics, and its central argument is deceptively simple: economic events are not driven primarily by fundamentals. They are driven by stories.
Shiller’s insight was that narratives — the stories people tell each other about how the world works, what is valuable, what is risky, what is inevitable — spread through populations the way viruses spread through bodies. They have transmission rates. They mutate as they travel. Some go epidemic; most die quietly in the conversations where they were born.
The implication for economics was radical: the “rational actor” at the center of classical economic theory is not, in practice, making decisions based on data. He is making decisions based on the narrative he has absorbed about what that data means. The same set of facts, framed by a different story, produces entirely different behavior.
Shiller studied this across centuries of economic history — the Bitcoin narrative, the housing market narrative of the early 2000s, the “going viral” of the idea that stocks always go up in the long run. In every case, he found the same structure: the narrative preceded the economic reality, not the other way around. People didn’t change their behavior because the fundamentals changed. They changed their behavior because a story changed — and then the fundamentals followed.
I found this unsettling the first time I fully absorbed it. Because it meant that the product, the technology, the carefully reasoned business model — all of the things I was spending my time on — were downstream of something I had almost entirely ignored.
I thought about this constantly while I was building my own products. And I thought about it again, harder, when those products failed — not because they were technically flawed, but because I had underestimated what Shiller had identified as the true engine of economic behavior.
The product was not the product. The narrative about the product was the product.
And the narrative was not spreading.
Why Good Products Die in Silence
Here is the question that nobody asks clearly enough: why do people adopt one product and not another, when both products solve the same problem equally well?
The standard answers — marketing, distribution, timing, network effects — are all real, but they are descriptions of howadoption happens, not why it happens at the level of individual human decisions. When you get close enough to the actual moment of adoption — the moment when a person decides to try something new, to trust an unfamiliar system, to change a habit — you find something that no feature list or pricing strategy fully explains.
You find a narrative.
Not a grand narrative. Not a brand story carefully crafted by a marketing team. A small, fast, unconscious story that a person tells themselves in the moment of decision: Is this the kind of thing I trust? Is this person — this company, this product — the kind of thing that belongs in my life?
This story is assembled from fragments. Something they read, once, that lodged. A recommendation from someone they respect. An association, accurate or not, with something they already trust. A feeling — no more precise than that — that the person behind the product is someone who understands them.
Shiller would recognize this immediately. What I have just described is a small personal epidemic — a unit of narrative that either spreads through the social network of one person’s associations and trust relationships, or doesn’t. Products that “go viral” are not products with superior features. They are products whose narrative has a high transmission rate in the specific population they are trying to reach.
And here is the part that changes everything when you understand it: that narrative cannot be manufactured at the moment of launch. It is assembled over time, from every interaction, every piece of writing, every decision made in public, every moment when the person behind the product revealed something true about themselves.
The moat is not built when you launch. It is built in the years before you launch, in the invisible accumulation of trust that either exists by the time someone needs to make a decision about you — or doesn’t.
The Asymmetry Nobody Warned Me About
When I was building in earnest — multiple products, multiple markets, multiple attempts to find the combination of idea and execution and timing that would work — I operated under a belief that I think most founders share.
I believed that quality compounds.
That if I built something good enough, the quality itself would eventually create the narrative. That the product would speak for itself. That the accumulation of satisfied users would generate the trust that would attract more users, in a virtuous cycle that rewarded the builder who built the best thing.
This belief is not entirely wrong. In stable, functioning markets, quality does eventually matter. Over long enough time horizons, better products tend to survive.
But the time horizon is not forgiving. And the market is rarely as stable as it appears.
What I discovered — through failure specific enough to be instructive — is that there is a brutal asymmetry in how trust operates in early-stage adoption. A product with a strong narrative and mediocre execution will outperform a product with exceptional execution and no narrative, in every market, almost every time. Not because people are irrational. But because in the absence of direct experience, narrative is the only rational basis for a decision.
Think about the last time you tried a product you had never heard of, built by someone you knew nothing about, with no social proof and no story you recognized. Think about the friction in that moment — the small, persistent resistance to giving your credit card number or your email address or your working hours to something that had not yet earned a place in your trust network.
Now think about the last time someone you respected told you about something they use and love. The friction was different. The narrative had already done the work.
This is the asymmetry. Trust is not built by the product. The product is the evidence that confirms trust that was already forming. Which means that if the trust doesn’t exist before the product, the product has to work infinitely harder — and often, it cannot work hard enough.
The Last Moat
We are now living in the era where this asymmetry is more consequential than it has ever been.
Every week, thousands of new products are launched. AI has made this possible — genuinely, remarkably possible — for people who never could have built before. The barrier to creation has collapsed. The barrier to attention has not moved.
What this means, in practical terms, is this: the technological moat is gone. Anyone can build what you built, probably faster and more cheaply than you did. The data moat is eroding — AI models trained on collective human knowledge make proprietary data sets less decisive than they once were. The network moat is still real, but it is increasingly winner-take-all in ways that make it inaccessible to anyone starting from scratch.
What remains?
One thing. One moat that AI cannot replicate, that capital cannot purchase, that a competitor cannot copy no matter how sophisticated their tools.
The moat of being a person that people trust before they have a reason to.
I am not talking about personal branding. I am not talking about follower counts or posting schedules or the performance of authenticity that has become its own kind of noise on every platform.
I am talking about something older and harder and more resistant to manipulation than any of those things.
Shiller, in his study of how narratives spread, identified something that the most durable economic stories have in common: they survive because they are true in a way that people can verify through their own experience. The narratives that go epidemic and stay epidemic — that resist the natural decay that kills most viral stories — are the ones that connect to something real. Not real in the sense of factually accurate. Real in the sense of emotionally accurate, of matching what people already know to be true about how the world works.
The trust moat is built from this material. Not from the claim that you are trustworthy. From the accumulated weight of being someone who, over time, has been right, has been honest about being wrong, has built things that worked and admitted plainly when they didn’t, and has done all of this in a way that is legible to the people you are trying to reach.
This cannot be faked. Not because people are especially good at detecting fakery — they are not, and Shiller’s research suggests that narratives spread regardless of their accuracy. But because the moat is not the perception of trust. The moat is the compounding return on real trust over time. And compounding returns only work when the underlying asset is real.
What This Means If You Are Building Something
I want to be direct about the practical implication, because I think most founder advice dances around it without ever saying it plainly.
The question “how do I get my first users” is the wrong question. It is answerable — with growth hacks, cold outreach, paid acquisition, community building, a dozen other tactics — and every one of those answers is a short-term solution to a long-term problem.
The right question is: “why would a stranger trust me before they have any evidence that they should?”
And the honest answer, for most people at the moment of launch, is: they wouldn’t. Not yet.
This is not a failure of the product. It is a gap in the trust infrastructure that the product needs in order to function. And closing that gap requires a different kind of work than building — work that is slower, less legible, and produces no metrics that fit neatly into a pitch deck.
It requires writing things that are true. Speaking about failures without the redemptive arc already attached. Being present in conversations where you have expertise without selling anything. Building, in public, a body of evidence that answers the question a stranger is asking about you before they ask it.
Shiller would call this the work of narrative seeding — placing, in the ecosystems where your eventual users already live, the fragments of a story that will eventually form into the narrative that makes trust possible. Not viral content. Not thought leadership. Something more like what a doctor builds over twenty years of practice in a small town: the slowly accumulated sense that this is a person who shows up, who knows what they’re doing, and who can be trusted with something that matters.
In the AI era, this work is not slower than building a product. Building a product takes a weekend now. This work takes years. And because it takes years, almost nobody does it before they need it. Almost everyone arrives at the moment of launch without the trust infrastructure the launch requires.
This is why good products die in silence. Not because the product was wrong. Because the silence arrived before the trust did.
Results
I want to end with something that has stayed with me since I first understood it clearly.
In the economy that is being built right now — the economy where AI has collapsed the cost of creation and the only scarce resource is human attention and trust — there is a profound and uncomfortable reordering happening.
The people who will build things that last are not the people with the best ideas. Ideas are free now, in a way they have never been before. The people who will build things that last are the people who spent the years before the AI moment doing something that looked, from the outside, like the wrong thing.
They were writing. Thinking in public. Building relationships without a transactional agenda. Being honest about what they didn’t know. Failing in ways that revealed character. Creating, over time, a body of evidence that answers the question every potential user, investor, and partner is asking: Is this someone I can trust?
The last moat is not a strategy. It cannot be deployed at launch. It cannot be outsourced to a marketing team or generated by an AI or purchased with a larger advertising budget.
It is the answer to a question that the market asks about every person who wants to build something that matters: Who were you before you needed us?
In a world where anyone can build anything, that question is the whole game.
The idea was never the product. The trust was always the product. We just couldn’t see it clearly until everything else became free.
Heorhi Tratsiak is an entrepreneur and writer. He is the author of “How Money Became a Weapon,” a narrative nonfiction exploration of the global financial system. He writes about AI, economics, and the human experience of building something from nothing. Follow him on Medium and LinkedIn.
A note on sources: The concept of narrative transmission rates draws on Robert Shiller’s “Narrative Economics” (2019), which remains one of the most underread books in the startup canon. If you build things for a living and have not read it, read it. It will change the questions you ask about why products succeed and fail.