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Analysis Summary
Worth Noting
Positive elements
- Provides a clear, concise definition of 'AI-native' that distinguishes between using AI as a tool versus making AI the core product engine.
Be Aware
Cautionary elements
- The use of a Harvard academic to frame the total removal of human labor as the only viable path for modern startups.
Influence Dimensions
How are these scored?About this analysis
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Transcript
The key for AI native is that you're not just using it to do the work. You're embedding it in the product so that the AI can directly do the work with the customer. You want to take you as the human out of the loop. Problem with humans is we don't scale particularly well. If you were trying to make Gamma pre-generative AI, they'd probably have to employ tens of thousands, hundreds of thousands of graphic designers. The economics of the company would collapse. But instead, by putting AI into the product, what Gamma is able to do is scale with compute rather than head count. If you're trying to be an AI native founder, that's what you need to find. Where are those places you can create loops where the AI is working with a user or another AI or something on the website where your team doesn't even need to be involved.
Video description
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 EO stands for Entrepreneur& Opportunities. As we're looking to feature more inspiring stories of entrepreneurs all over the world, don't hesitate to contact us at partner@eoeoeo.net LinkedIn | @EO STUDIO X | @eostudi0