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Ever wonder how someone convinces Google to write a $650 million check for a company with zero revenue, no products, and a mission that sounds like science fiction? That's exactly what Demis Hassabis did with DeepMind in 2014. Hassabis wasn't your typical Silicon Valley founder. He was a chess prodigy at 4, a successful video game designer at 17, got a computer science degree from Cambridge, then spent years getting a PhD in neuroscience. When he finally started DeepMind at 34, he had a unique combination nobody else possessed: strategic thinking from chess, systems design from games, and deep knowledge of how the human brain actually learns. In this episode, I break down the exact strategy Hassabis used to build DeepMind, assemble 75 of the world's best AI researchers, create a bidding war between Google and Facebook, and negotiate terms that let DeepMind keep its independence even after acquisition. KEY TAKEAWAYS: → Deep expertise across multiple fields creates unfair advantages → Patient capital and long-term vision can justify massive valuations without revenue → Team quality matters more than current products in research-heavy companies → Strategic negotiation can preserve independence even in acquisitions → The best founders play long games measured in decades, not quarters This is the untold story of how thoughtful, strategic leadership in AI won over raw speed and hype. Subscribe for daily deep dives into how the world's most successful companies were actually built.