## How Europe Can Capture the AI Growth Dividend

_IMF Blog, November 20, 2025_

## Source details

**Canonical URL:** [How Europe Can Capture the AI Growth Dividend](https://www.imf.org/en/blogs/articles/2025/11/20/how-europe-can-capture-the-ai-growth-dividend)

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## Bibliographic details
- Authors: Florian Misch, Ben Park, Carlo Pizzinelli, Galen Sher
- Published: November 20, 2025

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### Overview
- Publication date and authors: November 20, 2025; Florian Misch, Ben Park, Carlo Pizzinelli, Galen Sher.
- Central finding: Artificial intelligence could boost Europe’s productivity, but gains hinge on deepening the single market and dynamically calibrated regulation.
- Short-term aggregate projection for Europe: about 1.1 percent cumulatively over five years from AI adoption alone.
- Key cross-country differentiation: higher-income European countries gain more due to larger shares of white-collar services and higher wages that raise incentives to adopt labor-saving AI.

### How AI helps productivity now — drivers and heterogeneity
- Three factors driving economy-wide, one-off productivity effects:
  - Exposure to AI of different sectors and occupations—the degree to which AI can automate or augment tasks.
  - Companies’ incentives to adopt AI, particularly potential savings in labor costs.
  - Average productivity gains across occupations.
- Distinctive exposure pattern: AI affects professional, managerial, and administrative non-manual, knowledge-based work (e.g., finance, software development) more than prior automation technologies.
- Country-specific examples and numerical outcomes:
  - Norway: could gain as much as 5 percent in the most optimistic scenario.
  - Romania: could add just below 2 percent even in an optimistic scenario.
- Important sensitivity: productivity gains could be larger in all countries if the cost of AI systems falls more quickly.

### Strong upsides over the longer term
- Mechanisms for larger long-term gains:
  - Creation of new industries and value chains.
  - Permanent acceleration of productivity growth via accelerated research and development ("Invention in the method of inventing").
  - Existing evidence: AI accelerates and enhances pharmaceutical drug development.
- Long-run estimates:
  - United States: annual labor productivity growth could be boosted by 1 percent annually when accounting for AI-driven creation of new commercial knowledge.
  - Europe: gains could also be substantial but not as high as the United States; longer-lasting effects imply dramatically larger gains than short-term estimates.
- Methodological note: predicted long-term benefits may be conservative given Amara's Law—expectations often too optimistic about immediate effects and too pessimistic about lasting contributions.

### Policy recommendations to capture the AI dividend
- Deepen the European Union single market:
  - Make it easier for innovative AI firms to access an EU-wide customer base by removing barriers to cross-border services, opening protected sectors, and harmonizing standards.
  - Expected effect: reduce the cost of developing and adopting AI tools and counter fragmentation along national borders.
- Mobilize finance for risky, intangible-intensive investments:
  - Strengthen and integrate financial markets to support funding of AI development (intangible assets like software and intellectual property).
  - Advance a well-functioning Capital Markets Union to channel more savings to venture capital and early-stage AI ventures.
  - Improve recognition and valuation of intangibles in financial statements and resolution regimes to mobilize private financing for innovation.
- Increase labor market flexibility and ensure portable social protection:
  - Facilitate worker transitions to expanding sectors and firms through simplifying degree recognition, enhancing housing affordability, and ensuring pension portability.
- Make energy markets more efficient and integrated:
  - Secure affordable, reliable electricity to support data centers powering AI systems.
  - Achieve competitive and low-carbon energy supplies through better market integration to support AI infrastructure and the green transition.
- Keep regulation flexible and dynamically calibrated:
  - Address data protection, ethical, and safety concerns while navigating trade-offs between managing risks and enabling growth.
  - Rigid regulation risks losing even moderate productivity dividends from AI adoption in the near term.

### Strategic implication
- Reaping the full potential of AI depends on today’s policy choices: even moderate AI productivity gains would be meaningful against Europe’s weak growth outlook, but capturing larger, longer-term benefits—and keeping pace with the United States—depends on moving fast to build a more dynamic and integrated single market.

*Source: IMF blog post "How Europe Can Capture the AI Growth Dividend" (November 20, 2025).*

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## References

- [our research](https://www.imf.org/en/Publications/WP/Issues/2025/04/04/AI-and-Productivity-in-Europe-565924)
- [Regional Economic Outlook for Europe](https://www.imf.org/en/publications/reo/eu/issues/2025/10/17/regional-economic-outlook-europe-october-2025)

_Source: https://www.imf.org/en/blogs/articles/2025/11/20/how-europe-can-capture-the-ai-growth-dividend_