If you start from the premise that work is finite, that there's a fixed amount of stuff to be done and machines are eating through it, then every conclusion you draw from that premise will be wrong. You'll predict mass unemployment. You'll demand UBI as the only possible response. You'll want to ban or throttle AI development. You'll see a zero-sum world where every machine gain is a human loss. You'll build policy around scarcity when the reality is abundance. And you'll be wrong about all of it. Not because you're stupid, many of the smartest people in the world make this mistake, but because the premise is wrong. The error compounds and radiates outward, corrupting every inference, every prediction, every policy recommendation. It's like building a skyscraper on a foundation that's three degrees off true. At the ground floor, you can barely tell. By the fiftieth floor, the building is leaning so far it's about to collapse. That's what happens when you get the foundation wrong on this question. The lump of labor fallacy is the economic version of this error. But the abstraction stack goes deeper, it's about the nature of problem-solving itself, the structure of progress, the reason technology creates more work rather than less. It's the metaphysical argument for why the doomers are wrong. Understand this and you understand the future. Understand that technology is abstraction stacking, that each layer creates more complexity than it resolves, that problems are the raw material of work, and that the raw material is infinitem understand that and the panic about AI evaporates. Not because there's nothing to worry about. There's plenty to worry about: the transition, the distribution, the surveillance, the weapons. But the "AI will take all the jobs" fear? That's not just wrong. It's the opposite of how progress works. The jobs are endless because the problems are endless. And the problems are endless because every solution is a platform for a hundred new problems. That's not a theory. That's the history of civilization. And AI doesn't break the pattern. It extends it.