Agentic AI in organisations
Interviews with organisations across regions and sectors examine how AI agents are deployed and governed, including practical benefits and obstacles.
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Linear and Nonlinear Econometric Models versus Machine-Learning Models: Evidence from Realized-Volatility Forecasting(Revised)
View originalAI and the global economy: implications for central banks
View originalAI disruption in private credit: exposure to software firms in BDCs
View originalThe OECD AI exposure measure
Maps AI capabilities to occupations to examine exposure across different kinds of work.
View originalKey Questions on Energy and AI
An updated examination of the relationship between artificial intelligence and energy systems.
View originalAI meets trade
Examines trade linkages and how the economic gains from AI may be distributed across countries.
View originalThe agentic AI landscape and its conceptual foundations
Sets out concepts for understanding AI agents and the emerging landscape of agentic systems.
View originalExploring possible AI trajectories through 2030
Explores alternative paths for AI development through 2030 and their policy implications.
View originalDigital Progress and Trends Report 2025: Strengthening AI Foundations — Overview
An entry point to the infrastructure and capabilities that support AI adoption.
View originalAI adoption in the education system
Examines AI adoption in education and the conditions affecting its use.
View originalAI and the global productivity divide
Examines differences across countries in the potential productivity effects of AI.
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