What question did this study set out to answer?

This research aims to evaluate AI's economic impacts and provide policy recommendations to address these changes.

March 15, 2026Open Access

AI Economic Impact & Policy Research Compendium: Comprehensive Research for Policy Responses to AI-Driven Economic Transformation

Puntos clave

This research aims to evaluate AI's economic impacts and provide policy recommendations to address these changes.
Compendium analysis covering 294 citations.
In-depth evaluation of labor market transitions and policy responses.
Assessment of international impacts and governance frameworks.
Micro-level productivity gains of 14-40% are documented.
About 90% of CEOs report zero measurable business impact from AI.
Identified policy challenge is the gap between AI capabilities and measurable outcomes.

Resumen

A 304KB, ~294-citation research compendium covering AI's economic impacts across five areas: labor market transitions (displacement/creation flows, human-AI complementarity, the productivity paradox), policy responses (robot tax, UBI, retraining, SMB adoption), international impacts (developing economies, AI as public good, governance frameworks), empirical evidence (all major projections vs. measured outcomes through early 2026), and research gaps with 20 fully specified proposals including budgets, timelines, and priority rankings. Key finding: micro-level productivity gains of 14-40% are well-documented, yet ~90% of CEOs report zero measurable business impact — the gap between what AI does and what we can measure is the central policy challenge.

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