OpenClaw went from zero to more GitHub stars than React, a library that took a decade to build that following, in 60 days. One graph, vertical, like nothing the developer community had ever seen. When Z47's founder, Avnish Bajaj saw that graph, something shifted. Six months earlier, the team at Z47 had sat down to look at the velocity of AI deal-making, the valuations, the volume of capital flooding in, and called it a bubble. The consensus was clear: enterprise adoption would lag, the economics wouldn't close, and the correction would come.

Then that graph happened. Then agentic AI happened. Then self-healing code happened. And the thing everyone assumed would lag — enterprise adoption — is now about to explode. Avnish sits down with Rajinder on Intelligent Indians to work through what changed, what it means, and what every founder and operator needs to do right now before the window closes.

The conversation covers:

1. Why the bubble call was wrong, and the specific moment that broke the consensus thesis
2. The AI Agency vs. Mastery K-curve and what it means for your trajectory — answering the question "Will AI take my job?"
3. How India is positioned to build AI services
4. What AI-native actually means (And no, it is not using ChatGPT)
5. A live demo of Avnish's WhatsApp-based agent Zen

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