Europe Can Win on AI Through Application, Not Innovation: Analysis by Lagarde

European Union (EU) Commissioner for Public Affairs, Olaf Lagarde, has stated that Europe has a greater chance of winning in the field of Artificial Intelligence (AI) through the application of existing technologies rather than groundbreaking innovation. He emphasized that Europe’s strength in the AI market lies in applying already existing technologies across various industries. This suggests a strategic approach for Europe to seize market leadership by leveraging its existing strengths. Utilizing FireMarkets’ market analysis tools can provide a deeper understanding of the current state and future outlook of the European AI market.

Shifting AI Competition: From Innovation to Application

Recent comments from Olaf Lagarde highlight a rapid shift in the competitive landscape of AI technology. Historically, groundbreaking technological innovation was considered the core of AI competition, but now, applying existing technologies across various industries is becoming increasingly crucial. This suggests that the pace of AI technological development is slowing down, and leveraging the utilization of existing technologies is more effective for securing competitiveness.

Europe’s Strategic Strength: Application Capabilities

The European Union possesses a strong industrial base and regulatory framework, placing it in a favorable position for applying AI technologies to existing industries. Particularly in traditional European strengths such as finance, healthcare, and manufacturing, AI technologies can be utilized to enhance productivity, reduce costs, and develop new services. Leveraging these strategic strengths will allow Europe to secure a competitive advantage in the AI market.

Key Areas for AI Application

• Financial Services: AI-based fraud detection, risk management, and customer service can be utilized.


• Healthcare: AI-based disease diagnosis, treatment planning, and drug development become possible.


• Manufacturing: Smart factory construction, production process optimization, and quality control can be implemented.


• Transportation: Autonomous driving technology and logistics optimization can be applied.

Future Outlook: Regulation and Ethical Considerations

As AI technology is increasingly applied, related regulatory and ethical considerations will also become more important. The European Union is expected to develop AI ethics guidelines and strengthen regulations to protect data privacy. These regulations may hinder the development of AI technology, but they will also contribute to ensuring the safe and responsible use of AI technology.