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Gutachten 7. April 2026 Jan Büchel AI competitiveness: How the EU compares to the US and China

Competitiveness is of strategic importance for the European Union. The Draghi Report shows that the EU lags behind its main global competitors, namely the US and China, in several key areas linked to competitiveness (Draghi, 2024).

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Gutachten 7. April 2026 Jan Büchel

AI competitiveness: How the EU compares to the US and China

Fact sheet as part of the AI@Work project for the European Employers' Institute (EEI)

Jan Büchel Institut der deutschen Wirtschaft (IW) Institut der deutschen Wirtschaft (IW)

Competitiveness is of strategic importance for the European Union. The Draghi Report shows that the EU lags behind its main global competitors, namely the US and China, in several key areas linked to competitiveness (Draghi, 2024).

One central aspect, for example, is Europe’s failure to translate innovation into commercialisation, allowing an innovation gap to persist with the US and China, especially in advanced technologies. As a result of the Draghi Report, the EU developed its Competitiveness Compass (European Commission, 2025a). This covers three necessities for the EU to boost its competitiveness, one of which is to close the innovation gap by helping companies adopt new technologies such as AI. This has in turn led to the EU AI Factories Initiative (European Commission, 2025b), among other initiatives, which aims to create AI clusters that combine research, large computing capacity and entrepreneurial application at various locations in Europe.

AI is important to help companies in Europe increase their competitiveness, as AI can be a key driver for enhancing productivity (Aldasoro et al., 2026). Furthermore, implementing AI tools and applications can help companies reduce costs, develop innovative products and services, and counteract the shortage of skilled workers. The aim of this fact sheet is to examine the EU’s performance in terms of AI competitiveness compared to the US and China as its main global competitors.

AI is multi-layered, therefore AI competitiveness affects many areas. For example, AI usage requires the persons using the technology to be digitally literate. However, in 2025, only 60% of Europeans have basic digital skills (Eurostat, 2025), while the European Commission’s target under the Digital Compass for 2030 is 80% (European Commission, 2021). Furthermore, it is important for AI competitiveness that sufficient infrastructure is in place, that AI is developed and applied in a variety of ways, and that society is open to AI. The multi-layered structure first requires the identification of key factors influencing AI competitiveness so that a comprehensive analysis can be conducted.

For each component, the analysis below provides up to three indicators that are relevant and complete in the sense that they contain current data for the EU, the US and China. Each category is accompanied by a brief key takeaway.

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Gutachten 7. April 2026 Jan Büchel

AI competitiveness: How the EU compares to the US and China

Fact sheet as part of the AI@Work project for the European Employers' Institute (EEI)

Jan Büchel Institut der deutschen Wirtschaft (IW) Institut der deutschen Wirtschaft (IW)

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AI Competitiveness - Structural Strenghts of the EU
Gutachten 14. April 2026 Jan Büchel

In Brief #3: AI Competitiveness - Structural Strenghts of the EU

The EU aims to be competitive in the field of AI in comparison to the US and China as its main global competitors.

Jan Büchel IW

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Gutachten 12. Dezember 2025 Cornelius Bähr et al.

Transformation – Chancen und Betroffenheit in Bayern

Dekarbonisierung, demografischer Wandel, De-Globalisierung und Digitalisierung verändern Wirtschaft und Gesellschaft grundlegend. Wie stark ist Bayern von diesen vier Megatrends betroffen – und welche Chancen bieten sie dem Freistaat? Die Studie liefert eine Analyse im Vergleich zum restlichen Bundesgebiet.

Cornelius Bähr / Barbara Engels / Henry Goecke / Malte Küper IW

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