Europe and the Global AI Race

IMF News, September 21, 2026

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Published: September 21, 2026

AI’s economic impact: four channels

Short-run: AI building boom is a positive demand shock—strong private investment lifts both growth and inflation. Inflation effects are amplified by AI’s high energy intensity paired with the still-unfolding global energy supply shock.
Long-run: AI is a positive supply shock. IMF estimates AI could lift global annual potential growth by some "0.1–0.8 percentage points" eventually, with forthcoming research suggesting Europe can and should aspire to be in the upper half of this range. Whether long-run effects are inflationary or deflationary depends on timing between productivity gains and increases in consumption from higher expected permanent income, and on whether AI’s labor-market effects collapse large segments of consumer demand.
Labor-market impact: AI could affect "up to 60 percent of jobs in advanced economies." Recent IMF research finds that "about one in ten job vacancies in advanced economies asks for at least one new skill." New skills boost average wages and employment but deepen polarization—benefits accrue to high-skilled and low-skilled workers, while the middle is hollowed out.
Transitional risk window: Amara’s Law—overestimate short-run, underestimate long-run—implies disappointment is more likely frontloaded, creating financial stability risk and potential systemic threats if frontier models outpace oversight.

Financial stability concerns

Key vulnerabilities highlighted:
- Rising leverage: weaker valuations could trigger deleveraging and forced selling.
- Circular financing: positive feedback loop between investment, debt, and future revenue commitments that could reverse.
- Global transmission: AI is a global risk—large cross-border holdings of U.S. equities can transmit shocks.
Bottom line: AI supports markets but can also shake them. If earnings or investment plans fall short, leverage, circular financing, and global linkages could turn a disappointment into a damaging, far-reaching correction. Regulators and supervisors must ensure financial-system resilience.

Europe’s position in the AI value chain and readiness

Europe must aspire to be an AI adopter, builder, and provider.
Europe already has examples of home-grown success: ASML (Netherlands) and Mistral (France).
Comparative readiness metrics:
- Europe ranks well on AI readiness, with "seven of the top ten countries" in the IMF’s AI preparedness index.
- "Denmark ranks second," and the "Netherlands, Estonia, Finland, and Germany" also score well across digital infrastructure, innovation and integration, human capital and labor policies, and regulation and ethics.
Gaps and barriers:
- Many European firms face financing constraints due to bank-dominated systems ill-suited for startups with limited tangible collateral.
- Regulatory burdens create a reputation for clunkiness.
- Electricity prices are among the world’s highest.
- Europe qualitatively lags the U.S. in AI adoption—U.S. firms overhaul entire business processes with AI; European firms apply the technology more narrowly, risking a widening productivity gap.

Specific statistics to note

Data centers account for "about 3 percent of European power consumption," and "AI-driven demand is likely to triple by 2030."
Finland: "about two-thirds of adults undergo retraining of some kind every year."
Ireland ranks "at the very top of the 23 countries" in the IMF’s separate skill readiness index.
Four of every five firms in Ireland say they are more likely to adopt AI if the state integrates it into its own systems.

Five policy priorities recommended for Europe

First — Finance:
- Build a deeper well of patient private risk capital for startups, especially in the growth phase.
- Selectively complement private capital with public sector equity investments to address specific market failures.
- Promote regulatory convergence to reduce barriers to cross-border flows and catalyze a pan-EU venture capital industry.
- Rethink and revamp taxation as AI reshapes the income distribution between labor and capital.
Second — Energy:
- Address rising data-center energy demand through energy union and increased connectivity between national grids to better move electricity and materially impact prices.
- In the interim, build data centers where energy is cheapest.
Third — Business flexibility:
- Move forward with the "28th regime" as an optional EU-wide framework co-existing with national corporate law to facilitate firm entry and exit, reduce regulatory burdens, improve legal certainty (including in cross-border insolvency), lower risk premiums, and reduce the cost of capital for transnational ventures.
Fourth — Labor market:
- Facilitate churn from old vocations to new ones through training and social supports.
- Scale vocational training aligned with lifelong learning (example: Finland).
- Preserve worker protections while allowing labor market dynamism (example: Denmark’s "flexicurity").
- Encourage entrepreneurship in education and other policies to address potential hollowing of the middle of the job market.
Fifth — Public sector:
- Deploy digital public infrastructure: personal identifiers, authentication protocols, fast payments, and interoperability.
- Lead by example: state integration of AI in public systems boosts private-sector adoption (Ireland example).

Governance, sovereignty, and risk management

Geopolitical and data-sovereignty considerations matter for choices about local data storage and avoidance of foreign "kill switch" risks; the IMF recognizes the value of supply chain diversification.
Europe’s comprehensive AI rulebook—creating the first major-jurisdiction AI safeguards—looks prescient and may serve as a model.
Guardrails matter but only if Europe preserves competitiveness and has technological capacity to guard.

Closing observations and examples

Europe is capable of unthinkable transformations and must act with speed in policymaking and prioritization to capture AI opportunities while managing risks.
Vivid examples of European ingenuity: ASML machine at a nanoelectronics R&D hub in Belgium; a data center in Poland feeding excess heat into the local heating network.

Remarks by Kristalina Georgieva, IMF Managing Director, September 21, 2026.

Europe and the Global AI Race

Source details

Other formats

Bibliographic details

AI’s economic impact: four channels

Financial stability concerns

Europe’s position in the AI value chain and readiness

Specific statistics to note

Five policy priorities recommended for Europe

Governance, sovereignty, and risk management

Closing observations and examples

References