Economists argue AI's fast-moving economy needs noisy evidence now, not decades-perfect identification
JMateosGarcia · x · 2026-09-21
Alex Olegimas reflects on reading empirical AI economics papers: top journals prize clean causal identification (instruments, parallel trends), work that is vital but often takes years or decades to get right. AI will eventually get such research too, but given how fast the field moves, we also need immediate signals — papers where researchers did their best methodologically while acknowledging the field is moving too fast to wait. The argument: AI economics must pursue both rigorous-but-late and noisy-but-timely evidence in parallel.
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