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Chamarti Sreekar
Passionate about Pos... • 23d
OpenAI just hit $10B in annual revenue — and it’s only getting started. From 2M to 3M business users in just a few months. That’s 1 million new companies paying to use ChatGPT — in less than half a year. Revenue is up 82% YoY, and yet OpenAI is still burning cash. Why? Because building bleeding-edge AI models isn’t just hard — it’s brutally expensive. But here’s the thing: they’re playing the long game. Dominate first. Monetize later. Now zoom out — and look at the Indian AI scene. Where’s India’s answer to ChatGPT? We have talent. We have data. We even have VC backing. But we don’t yet have a homegrown AI product at this scale. Why? Because most Indian AI startups are still building for services, not platforms. Optimizing, not innovating. Selling tools, not ecosystems. OpenAI didn’t wait for the perfect model. They shipped fast, learned in public, and built a product that became culture. It’s not about building AI. It’s about building with AI — at scale, with ambition. The race isn’t over. But if we want to compete, we need fewer decks and more daring.
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