Economists clash over AI empirical research: crude measurements needed, but 'overclaiming' is an epidemic
soumitrashukla9 · x · 2026-09-21
- Economist Alex (alexolegimas) on reading empirical AI-economy papers: top journals demand clean identification and valid instruments, work that can take decades — and AI will eventually get such rigorous studies. But right now the field needs signals now, even if incremental and imperfect.
- Andrey Fradkin agrees but calls out an 'epidemic of overclaiming': suggestive correlations get framed as 'AI is doing X,' picked up by media, and cause harm.
- The core tension: imperfect measurement work is necessary, yet the hype amplification chain from paper to headline distorts public understanding — a substantive methodological debate on how to study AI's economic impact.
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