The Economist notices something funny: most academic economists aren't actually studying $AI's economic impact. The real work is happening outside universities now, driven by what they call "AI-pilled economists."
This tracks. Academia moves slow. Tenure committees don't reward studying bleeding-edge tech that might look silly in hindsight. Publishing cycles take years. Meanwhile the world is changing in months.
The people actually building with $AI, deploying capital into it, or trying to figure out its productivity effects in real time — they're the ones doing the interesting work now. They have skin in the game and can't afford to wait for peer review.
Same pattern played out with crypto, internet stocks in the 90s, even derivatives in the 80s. The practitioners figure it out first. Academics write the textbooks later.
Doesn't mean ignore the academics entirely. But if you want to understand what's actually happening with $AI and the economy, you're probably better off reading Substack than the American Economic Review right now.
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