Skip to main content

On This Page

The Next Chapter for AI in the EU

2 min read
Share

These articles are AI-generated summaries. Please check the original sources for full details.

The Next Chapter for AI in the EU

The launch of OpenAI’s EU Economic Blueprint 2.0 marks a significant event in the European AI landscape, introducing a new program to train 20,000 SMEs across Europe with AI skills, supported by Booking.com, and a €500,000 NGO grant to support research into youth safety and wellbeing. This initiative is backed by hard data showing the EU uses 17% more thinking capabilities on average than the rest of the world, yet there are big differences between Member States.

Why This Matters

The technical reality of AI adoption in Europe is that despite its potential, there is a significant capability overhang—the gap between what frontier AI systems can do and how people, businesses, and countries are using the technology. This overhang risks concentrating productivity gains in a small number of countries, sectors, and firms, while others fall behind, with the cost of inaction potentially leading to a widening gap in economic competitiveness across the continent.

Key Insights

  • The EU Economic Blueprint 2.0 reveals that the EU uses 17% more thinking capabilities on average than the rest of the world, indicating a higher level of AI adoption: [OpenAI, 2026]
  • The concept of capability overhang highlights the need for strategies to better utilize AI, such as the introduction of national AI-in-education frameworks and a portable AI skills accreditation scheme: [Eurostat, 2025]
  • Tools like OpenAI’s SME AI Accelerator, in partnership with Booking.com, aim to help small and medium-sized enterprises boost their productivity and grow their businesses with AI, with users like Booking.com and potential applications in sectors like hospitality and tourism.

Practical Applications

  • Use Case: Companies like Booking.com are leveraging AI to enhance their services and support SMEs in adopting AI technologies, demonstrating a proactive approach to AI integration.
  • Pitfall: A common anti-pattern is the lack of investment in AI education and training, which can lead to a significant skills gap and hinder the ability of businesses and individuals to effectively utilize AI technologies, resulting in missed opportunities for growth and competitiveness.

References:

Continue reading

Next article

Two High-Severity n8n Flaws Allow Authenticated Remote Code Execution

Related Content