Elon and Zuck’s Data Diaries: How They’re Turning Our Likes Into Billion-Dollar Insights

Back in 2007 at Stanford University Graduate School of Business, I sat on a bench pondering the future of Facebook. The big question back then? Could social networks ever be monetized?

At the time, Facebook had 50 million users and no clear revenue model. Mark Zuckerberg himself admitted, "In three years, we have to figure out what the optimum model is." Most people were focused on ads that wouldn’t scare users away. But my math-driven brain saw the real answer: data.

The social graph—who connects with whom, what they like, how they interact—was the golden nugget. Build that graph big enough, make the edges strong enough, and the money would follow. The data itself was the moat. I was right. Today, Meta is worth over $1.57 trillion, built on that graph.

Now, enter Elon Musk with X (formerly Twitter ). Many think his focus is political, maybe even propagandistic. But I see something else: the data playbook all over again. By feeding a GenAI ecosystem like AI with X ’s pulse of humanity—trends, biases, needs—Musk isn’t just building LLMs. He’s crafting real-time agents with ethnological power to anticipate markets, solve problems, and understand us better than the competition.

Think about it: an AI agent fed by X could predict trends, analyze pain points, and create solutions before we even ask. If Meta ’s social graph was the foundation of its empire, Musk’s X ecosystem could be the blueprint for AI-first applications—from consumer behavior to AGI agents as skilled as Google engineers.

History doesn’t just rhyme—it repeats. In tech, the golden rule hasn’t changed: own the data, own the future.