AI and its impact on the euro area economy

Philip R. Lane, Member of the Executive Board of the ECB, delivered a keynote speech at the ECB-SAFE-RCEA International Conference on the Climate-Macro-Finance Interface (3CMFI), discussing the impact of artificial intelligence (AI) on the euro area economy.

He highlighted AI as a potentially transformative general-purpose technology, capable of reshaping production processes, business models, and economic structures. The evolution from narrow machine learning to large language models and agentic AI platforms is accelerating, with implications for productivity and innovation.

Various macroeconomic impact estimates range from modest to transformative. Studies suggest AI could increase global GDP by around 7% over a decade, with productivity growth estimates varying from 0.29% to over 1.3% annually for the euro area, depending on adoption and technological progress.

Early microeconomic evidence shows AI can improve productivity, such as reducing task completion times and increasing issue resolution rates. Adoption rates are rising rapidly in the euro area, with 40% of employees using AI in 2025, especially among younger and higher-educated workers.

Barriers to adoption include skills shortages, ethical concerns, and system incompatibilities. The macroeconomic effects depend heavily on the speed of diffusion, investment scale, and the ability of economies to adapt. Faster adoption could lead to significant productivity gains, while slower diffusion may limit benefits.

AI’s impact on employment remains uncertain, with some workers expecting positive effects and others fearing displacement. Recent evidence indicates no systematic increase in unemployment, but sectoral and skill-based disparities are expected.

Financial dimensions include increased AI-related investment, with US firms relying on internal funds and European firms facing challenges due to limited risk capital. The banking sector is adopting AI mainly for operational purposes, with potential benefits and risks related to credit allocation and cybersecurity.

The ECB is actively integrating AI into its analytical and policy processes, including forecasting, risk assessment, and operational workflows. A digitalisation programme aims to expand AI capabilities across the institution, supporting economic analysis and decision-making.

In conclusion, AI diffusion is rapid in the euro area, but its macroeconomic effects are still uncertain. Ensuring broad access to finance, supporting innovation, and monitoring global spillovers are key to maximizing benefits and managing vulnerabilities. The ECB will continue to study AI’s implications for monetary policy and economic stability.