Description

AI Trends in Germany - Presentation (PDF) — Follow along with the data discussed in this episode

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Germany currently faces a distinct tension between its technical potential and actual financial commitment to artificial intelligence. While the country ranks high in AI skills and research, private investment stands at just 1.8 billion euros, compared to over 62 billion in the United States. Host Daniel Kazani sits down with Stephan Fricke to examine the reality behind these numbers and what they mean for the German market.

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Stephan breaks down the data on Germany's current 45,000 AI specialists and the projected gap of nearly 180,000 by 2032. They discuss why customer contact centers are seeing 88% of implementations and how manufacturing giants like BMW and Siemens are using AI for practical quality assurance. The conversation also covers the critical role of strategic partnerships and outsourcing in bridging the talent shortage that domestic training alone cannot solve.

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👤 Guest Bio

Stephan Fricke is the CEO of the Deutscher Outsourcing Verband e.V. (German Outsourcing Association) and the Deutscher Process Automation Verband. Since 2010, he has focused on bridging the gap between German business culture and global innovation hubs. Through industry publications such as the Outsourcing Journal, Stephan shapes the narrative around Global Business Services and advocates for diversifying sourcing destinations to address the talent crisis in the DACH region.

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📌 What We Cover

1. The estimated 60 billion euro market volume for AI services in Germany in 2025.
2. Why 88% of German companies implementing AI start with customer contact and chatbots.
3. The massive gap in private AI investment: 1.8 billion euros in Germany versus 62.5 billion in the US.
4. How Germany compares globally in terms of infrastructure, with a notable lack of data centers.
5. The talent crisis: Moving from 45,000 specialists today to a need for 180,000 by 2032.
6. Why Softup and similar partners are becoming essential for companies unable to find local talent.
7. Specific manufacturing use cases for AI: From predictive maintenance at Siemens to quality assurance at BMW.
8. The regulatory hurdles and slow government strategies are affecting European competitiveness.

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🔗 Resources Mentioned

1. Deutscher Outsourcing Verband e.V. (German Outsourcing Association)