Using AI to do your work faster isn't AI-native. It's just AI-assisted.
The real unlock? Embedding AI directly into your product — so it serves the customer without you in the room.
Gamma went from a company that would've needed hundreds of thousands of graphic designers, to ~$100M ARR with a team of 50. The difference: they scale with compute, not headcount.
That's the question every AI founder needs to ask — where can you build a loop where AI does the work, and your team never has to show up?
🎙 Rem Koning | Professor, Harvard Business School

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Being AI native means embedding AI directly into your product so it works autonomously with customers, removing humans from the loop. The key insight is that AI allows companies to scale with compute rather than headcount. Using Gamma as an example, AI-native products can serve massive user bases without hiring tens of thousands of specialists. Founders should identify where AI can create autonomous loops between the product, users, or other AIs without requiring team involvement.

How to be AI native