#ai

AI tends to automate tasks inside jobs rather than wipe out whole professions, and history (ATMs, spreadsheets, word processors) shows cheaper tools often expand demand. That story is true at the aggregate level and incomplete for most people. New jobs rarely go to the workers who lose the old ones, and productivity gains only become a lasting edge if you redesign work around AI rather than bolt it onto the old workflow. What matters more is a repricing of human value. As execution gets cheap, scarcity shifts toward judgment, accountability, trust, taste, relationships, and ownership. AI can raise production; who captures the gains depends on institutions and who owns the systems that produce the output. The useful question is less “how many jobs survive?” than “who owns the machines, and where do you sit in the value hierarchy when intelligence is abundant?”