Germany’s Three Pillars to Catch Up in the Global AI Race

Trustworthy technology. Industrial data. European cooperation. These are the three key pillars of Germany’s strategy to compete in the global artificial intelligence (AI) race.

Although breakthroughs in AI are reshaping industries worldwide, Germany has yet to produce leading AI technologies. German Chancellor Olaf Scholz emphasized the need for change at the Digital Summit in Frankfurt, highlighting the country’s strengths in creativity, innovation, and hard work.

German: Strong in Research, Weaker in Applications

While German researchers have a long history of AI research, the challenge lies in translating research into cutting-edge applications. Scholz identified limited access to venture capital as a hindrance and stressed the importance of investment for innovation.

AI’s Popularity Boom

Bitkom’s study revealed a growing acceptance of AI in Germany, with 20% of companies integrating AI into their operations. Initiatives like ZUKIPRO aim to help small businesses adopt AI solutions and overcome technological uncertainties.

US Dominance

Despite progress, German companies still rely on AI applications from US providers like Microsoft and Google. Economy Minister Robert Habeck highlighted the importance of industrial data and emphasized European collaboration for AI development.

European Collaboration

Germany’s goal is to lead in developing “trustworthy” AI, respecting user rights. The EU’s AI Act sets strict regulations for high-risk AI applications, contributing to a competitive European strategy.

Overall, Germany’s plan focuses on innovation, investment, and cooperation to catch up in the global AI race.