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Europe's AI Lag: Brussels Aims to Boost Business Adoption

Source: politico.eu

Published on October 8, 2025

Updated on October 8, 2025

A European business integrating AI technology into its operations

Europe’s AI Lag: Brussels Pushes for Faster Business Adoption

Europe is falling behind in the global AI race, with less than 14% of European businesses adopting artificial intelligence in 2022. The European Union (EU) is now pushing for faster integration of AI into key industries to catch up with the U.S. and China. This strategic move aims to boost economic growth and reduce Europe’s dependency on foreign AI technologies.

The European Commission’s AI Office has acknowledged that Europe’s slow adoption of AI is a significant concern. To address this, the EU plans to introduce targeted measures to integrate AI into 11 critical sectors, including manufacturing, healthcare, and agriculture. These efforts are designed to make AI more accessible and relevant to European businesses.

Slow Adoption and Economic Risks

Europe’s delayed adoption of AI poses risks to its economic growth, especially as other regions prioritize AI development. The EU has struggled to develop its own AI models, leading to reliance on foreign technologies for AI hardware. This dependency could disrupt supply chains and hinder Europe’s competitiveness in the global market.

Despite these challenges, Commission President Ursula von der Leyen has urged European companies to consider how AI can address their specific challenges. "AI is not just a tool for the future; it’s a necessity for today," she stated in a recent address. However, the disparity in AI adoption between large and small companies remains a hurdle. While four in ten large European companies use AI, only one in ten smaller companies have adopted the technology.

Targeted Solutions for Industries

The EU’s strategy includes specific initiatives to support AI adoption in various industries. For example, the EU plans to develop AI models for autonomous driving and drug discovery. Additionally, an app store tailored for farmers will provide AI-powered applications to improve agricultural productivity. These efforts aim to demonstrate the practical benefits of AI across different sectors.

Many companies associate AI with mass-market applications like chatbots, leaving specialized industries uncertain about its relevance. The EU’s approach focuses on providing tailored AI solutions for these industries. For instance, AI-powered robotics and manufacturing solutions will be prioritized to modernize production processes and enhance efficiency.

Reducing AI Dependency

A key goal of the EU’s strategy is to reduce Europe’s reliance on foreign AI technologies. This includes boosting support for European AI models, particularly those designed for real-time battlefield understanding and other strategic applications. By investing in domestic AI development, Europe aims to secure its technological sovereignty and reduce vulnerabilities in supply chains.

"Europe must take control of its AI future," said a Commission official. "This means not only adopting AI but also leading in its development." However, achieving this will require significant investment and cooperation between governments, research institutions, and businesses.

Challenges and Future Outlook

While the EU’s ambitions are clear, challenges remain. Investing in AI can be costly, particularly for smaller companies. Identifying worthwhile AI investments is also a hurdle, as companies often struggle to find solutions that align with their specific needs. However, the EU is committed to addressing these issues through targeted support and incentives.

The success of Europe’s AI strategy will depend on its ability to integrate AI into core business activities, rather than treating it as a supplementary tool. By redesigning production processes to incorporate AI, European companies can unlock new efficiencies and innovations. This shift could position Europe as a leader in the global AI race, driving economic growth and technological advancement.

In conclusion, Europe’s push to accelerate AI adoption is a critical step toward securing its future in the digital age. With targeted support and a focus on reducing dependency, the EU aims to transform AI from a challenge into an opportunity for its businesses and economy.