Every Industry Slowly Grows Three Kinds of Companies
A few days ago, I had dinner with an old friend who runs a traditional retail business. He'd been at it for twenty years, and his business had always been steady.
A few days ago, I had dinner with an old friend who runs a traditional retail business. He'd been at it for twenty years, and his business had always been steady.
But that night, he was rattled. Halfway through the meal, he asked me: "This AI thing — is it really going to wipe out my whole industry?"
I told him: you're asking the wrong question. What you should be asking isn't "will it," but "which kind of company do you want to be."
He put down his chopsticks and looked at me. So I started there.
What Is an AI Native Company?
AI Native, literally, means a company that was born and raised because of AI.
From day one, it never had the option of "whether to use AI or not." Its products, its processes, its organization — all of it grew up around AI.
It's like a brand-new restaurant where the kitchen opens with a full suite of smart equipment, the menu is arranged by data from the very first day, and even the purchasing is calculated by the system itself. It has no "moving" cost, because it never lived in the old place to begin with — it's been in the new building since the starting line.
These are the newborns of an industry.
What Is an AI Emergent Company?
AI Emergent describes companies that were already alive, but have forcibly grown AI into their own bodies.
They have existing assets, existing customers, and their old core business. The biggest difference from AI Native: they didn't come from nothing — they used AI to rebuild themselves. They're not just picking up AI as a tool on the side and giving it a couple of swipes; they let AI rewrite the whole way they work.
These are the most painful companies, and also the most promising. Painful, because they have to turn on their own old selves. Promising, because once they manage the change, the assets they already hold become their moat.
What Is an Obsolete Company?
Obsolete is the category that's past its time.
They've heard about AI too, gritted their teeth and bought some software, but deep down nothing has changed. The processes are still the old processes, and the decisions are still made by gut feel. It's not that they don't know AI exists — they just don't believe in it, and they can't be bothered to move.
Look at any industry and you'll see these three kinds of companies slowly grow. It's like a forest: there's always new saplings reaching up, old trees shedding their leaves, and one by one, trees slowly rotting away. This isn't some insight I invented — it's the natural result after AI sweeps through every industry.
My friend cut in here: "Isn't this just the old saying that 'technology decides who gets eliminated'?"
I said, yes, the lesson isn't new. What's new is the pace.
Think about it. In the past, a technological revolution often took decades from first appearing to having its verdict handed down. You had a buffer of three to five years — plenty of time to learn slowly.
But AI is different. Its iterations are counted in months, even weeks. You think it's still early today; by tomorrow your competitor has already gotten their costs down to half of yours. This isn't alarmism — it's happening right now. Hesitate for a moment, and your position is set.
He asked again: "So is an old company like mine just doomed to end up Obsolete?"
Quite the opposite.
What you should worry about is never "am I traditional," but "do I dare to truly restructure myself." Being AI Native is a stroke of luck at birth — most of us don't have that stroke of luck. But becoming AI Emergent is something you can change your way into — hard, but not hopeless.
What's so hard about it? You have to first admit one thing: some part of the craft you've lived on until now genuinely deserves to be retired.
Take a content team that's been around for ten years, used to relying on pure manpower to produce output. Now AI turns out in one day what a person could do in a week. At that point you don't just downsize and call it done — you have to rethink: what are people actually for?
People own the creative side, make the calls, and make the judgments a machine can't make. That's what moves you from "using AI to do the work" to "letting AI change the way the work gets done." The former is changing your tools; the latter is changing your organization. They're worlds apart.
I said something to him in plain words:
AI Native is a lucky birth. AI Emergent is a ruthless reinvention. Obsolete is lying still and waiting.
Most people aren't lucky enough to be born AI Native. But everyone gets to decide: am I the one who grits his teeth and reinvents himself, or the one who lies still and waits to die?
We talked a bit longer, and he said he'd have to go home and think it over.
I raised my cup and added one more thing: think, sure — but don't think too long. In this era, there's no position left where you can lie back and take your sweet time figuring things out.
And here's to you becoming the one who reinvents himself.