Welcome back to Scaling Theory. My guest today is Robin Hanson, Associate Professor of economics at George Mason University. Robin has long been one of the most original thinkers on institutional design, collective intelligence, as explored in his books The Age of Em and The Elephant in the Brain. Across his career, he has pushed the boundaries of how societies can aggregate knowledge and make collective decisions when complexity scales faster than comprehension.

In this episode, Robin and I discuss how futarchy could scale that logic across our societies? As societies grow larger, representation, information, and incentives all begin to break down, and futarchy is one possible way to rebuild them. Robin and I talk about where this idea has been tested so far, what a real-world implementation might look like in a city or company, and why, despite its promise, futarchy hasn’t yet scaled.

Finally, we explore how new technologies like blockchain and AI might change the picture, whether they’ll make futarchy more viable, or perhaps even replace parts of it. And we look ahead to Robin’s vision from The Age of Em. When societies become unimaginably fast and complex, which human institutions survive, and which ones don’t?

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