A Contrarian Take on ETA in the AI Era
Over the last 5 years, I’ve watched the ETA movement absolutely explode. And honestly… I get it. Buying an existing business gives you:
Existing revenue
Existing customers
Existing cash flow
Existing operations
In theory, you’re skipping the hardest part: starting from zero. But now I think the AI era changes the equation entirely. Because when you acquire a business, you’re not just buying revenue. You’re also buying:
legacy systems
outdated processes
cultural baggage
technical debt
operational inefficiency
people/process complexity
someone else’s “dirty closet”
And you’re often financing all of that with significant debt at a moment where technology is moving faster than at any point in modern business history.
My contrarian take:
In 2026, it may actually be LESS risky to build an AI-native business from scratch than to buy and modernize a legacy one.
We’re entering a world where the gap between:
AI creators/builders
and
AI consumers/users
is going to widen dramatically. Widen is an understatement. Some are calling it the "forking of humanity."
(side note: this is super interesting stuff - check out Peter Diamandis - redacted
Small, highly-leveraged AI-native companies can now move with a speed and efficiency that traditional businesses simply can’t match structurally. A tiny team with the right workflows, automation, agents, and distribution can create enormous value without inheriting years of operational entropy.
For context: I bought a business 3 years ago and sold it a year ago. I thought, "what could go wrong?" Everything went wrong. It is MUCH harder and heavier than the ETA talking heads represent. I took on a ton of risk and carried insurmountable stress. All my choices. I learned an incredible amount doing it, and I don’t regret it at all. BUT... if I were starting fresh today...
I’d build an AI-native company from the ground up.
Curious how others here are thinking about this shift.
Does AI strengthen the ETA thesis… or weaken it?