For most of human history, if you wanted something from far away, you had two options: Go find it yourself or take it from someone else who already did. Conquest was the preferred method. Armies marched, ships sailed, empires expanded, and people died—all because someone somewhere wanted resources they didn’t have at home. But over time, we figured out that you don’t actually need to conquer your neighbors to get what they have. You can just trade with them instead. It’s simpler, it’s easier, and it’s a lot less expensive. This shift from conquest to commerce represents one of the …

Austrian economist Joseph Schumpeter had a gift for memorable phrases. When he described capitalism’s relentless cycle of renewal as “creative destruction,” he captured something profound in just two words that initially seem to contradict each other. But there’s no contradiction. The term brilliantly encompasses both sides of innovation’s equation: the creation of something new and the destruction—or disruption, as we tend to say now—of what came before. And crucially, the order matters. Creation comes first. Destruction follows only when something better emerges to replace it. In our last post, we explored why innovation faces opposition and how it generates wealth …

“This time, it’s different.” You’ve probably heard some version of this lately. AI is going to eliminate jobs. Automation will make human workers obsolete. Unlike all those previous technological shifts, this one will actually leave people with nowhere to go. Except people have been saying “this time, it’s different” for centuries. And they’ve always been wrong. The Roman historian Pliny the Elder tells a remarkable story. A glassmaker came before Emperor Augustus with an invention—flexible glass that could be hammered back into shape after being dented or dropped. He demonstrated this “vitrum flexile” by throwing it on the floor before …

In our last post, we explored how the 2008 financial crisis happened because policymakers thought they could manage the economy like a machine—setting interest rates, guiding lending, engineering outcomes. They couldn’t. The knowledge problem meant they were making decisions based on information they simply didn’t have and couldn’t have. But there’s another piece to this puzzle, one that’s just as important for understanding what went wrong: moral hazard. The term sounds technical, but the concept is straightforward. Moral hazard happens when someone gets to make decisions but doesn’t have to live with the full consequences of those decisions. When the …