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Why EU business AI adoption is rising and still not catching up

Posted on May 25, 2026 By 164news66 No Comments on Why EU business AI adoption is rising and still not catching up

Why EU Business AI Adoption is Rising and Still Not Catching Up

The adoption of artificial intelligence (AI) among European Union enterprises has been steadily increasing, with a significant jump of six points in the past year. However, despite this progress, Europe still lags behind the United States in enterprise AI implementation.

Eurostat’s Findings:
In December 2025, Eurostat reported that 20% of EU enterprises with at least ten employees now utilize AI in some aspect of their business, up from 13.5% the previous year.

Regional Disparities:
The adoption rate varies widely across Europe:

  • Copenhagen: 42%
  • Bucharest: 5.2% (the lowest among EU countries)

These disparities highlight that while some regions in Europe are embracing AI, others are lagging, and the average of 20% does not accurately represent the diverse landscape of AI adoption on the continent.

Common Misconceptions:
A common explanation for Europe’s AI lag is regulatory barriers, specifically the EU’s AI Act. While there is some truth to this, it oversimplifies the issue. The fundamental reasons behind low European AI adoption are more complex:

  • Capital Flows: According to OECD data (cited by Christine Lagarde), approximately three-quarters of global AI venture capital in 2025 went to US companies, totaling $194 billion. In contrast, Europe attracted $15.8 billion, emphasizing the significant gap in investment.
  • Cloud Infrastructure: Major US cloud service providers dominate the European market, with around 70% market share in 2025. European cloud providers only hold about 15%, making it challenging for local SMEs to access AI services and train models on EU data.

The Productivity Gap:
Mario Draghi highlighted that around 70% of the per-capita GDP gap between the EU and the US can be attributed to technology, with AI playing a substantial role in this disparity. This explains why European SMEs often struggle to justify AI investments due to limited budgets.

In conclusion, while European AI adoption is on the rise, structural issues related to capital flows and cloud infrastructure contribute to the continent’s overall slower progress compared to the United States.

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