Most economic models were built on one core assumption: human intelligence is scarce and expensive. You need experts to write reports, analysts to crunch numbers, marketers to draft copy, developers to write code. Time + skill = cost. That’s how the value of white-collar labor is justified. But AI flipped that equation. Now a single language model can write a legal summary, debug code, draft ad copy, and translate documents all in seconds, at near-zero marginal cost. It’s not perfect, but it’s good enough to disrupt. What happens when thinking becomes cheap? Productivity spikes, but value per task plummets. Just like how automation hit blue-collar jobs, AI is now unbundling white-collar workflows. Specialization erodes. Why hire 5 niche freelancers when one general-purpose AI can do all of...
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