Germany races to catch up in artificial intelligence

Full Article

Germany is striving to enhance its position in the global AI landscape, focusing on three main pillars: trustworthy technology, industrial data, and European cooperation. Despite a strong research background, Germany has not produced leading AI applications, which are predominantly developed by companies in the U.S. and China. Chancellor Olaf Scholz emphasized the need for increased investment to transform innovations into viable business models.

Recent studies indicate a growing acceptance of AI among German companies, with 20% now integrating AI into their operations. Public initiatives like ZUKIPRO are aiding small and medium-sized enterprises in adopting AI solutions, aiming to improve efficiency and reduce costs. However, reliance on U.S. providers like Microsoft and Google raises concerns about achieving technological independence, prompting calls for a unified European approach.

• Germany aims for technological sovereignty in AI development.

• Public initiatives are helping small businesses adopt AI solutions.

Key AI Terms Mentioned in this Article

Technological Sovereignty

The concept of achieving independence from foreign technology providers is central to Germany's AI strategy.

AI Applications

S. and Chinese companies, highlighting Germany's challenges.

Venture Capital

Access to venture capital is crucial for German companies to scale their AI innovations effectively.

Companies Mentioned in this Article

Microsoft

S. provider of AI applications, which are widely used by German companies.

Google

Google's AI technologies dominate the market, raising concerns about Germany's technological independence.

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