Economists Skeptical: AI Faces Data Hurdles in Macroeconomics
soumitrashukla9 · x · 2026-08-02
Following AI breakthroughs in solving complex mathematical problems, economist Atif Mian questioned whether AI could similarly crack major open problems in economics, such as the root causes of national prosperity.
Responding to the thread, other economists pointed out that applying ML to macroeconomics is fundamentally harder than math. The primary bottleneck is structural data limitation: macroeconomics has only a single historical realization, lacking the massive datasets required to train ML systems effectively. Consequently, AI is unlikely to outperform human insight in macro and growth economics.
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