AI Economics(AI Economics)

AI Economics is a sub-field of economics that analyses the impact of AI technologies on labour markets, productivity, income distribution, and industrial structure. Since 2024, institutions such as the IMF, BIS, and Stanford HAI have published empirical studies attempting to quantify the relationship between AI adoption and aggregate productivity — a question made urgent by the gap between rapid capability growth and still-modest measurable economic impact. Economists like Daron Acemoglu argue that this “productivity gap” reflects structural constraints — not merely measurement lag — including the difficulty of automating complete job bundles and the absence of widely usable AI applications.

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