Germany's Merz Declares AI Independence 'Existential' as Europe Races to Catch Up

Germany and Europe Must Build Their Own AI to Preserve Control

German Chancellor Friedrich Merz delivered a stark warning at an artificial intelligence conference in Berlin on Monday, declaring that Germany and Europe must accelerate AI development or risk surrendering control to outside providers1

1

. Speaking at the Digital Summit, Friedrich Merz framed digital sovereignty as "a truly existential question" as AI becomes deeply embedded across economic sectors2

2

. The chancellor emphasized that nations must "at all costs, avoid becoming entirely dependent on third parties when it comes to developing and using this technology"1

1

.

Merz outlined Germany's ambition to develop and operate AI capabilities independently across the entire AI supply chain, from hardware to software2

2

. This push for technological sovereignty reflects growing concerns that countries lacking control over AI infrastructure will become increasingly dependent on those that do3

3

. The chancellor acknowledged this would require "an enormous technological and organisational effort, a far-reaching modernisation of our state and our economy"1

1

.

Structural Obstacles Threaten Germany's AI Ambitions

Despite establishing a national AI strategy in 2018, Germany faces persistent challenges that could limit its ability to capitalize on AI capabilities1

1

. The Ifo economics research institute found Germany still lacks important prerequisites for exploiting AI's growth potential4

4

. Oliver Falck, head of the Ifo Center for the Economics of Innovation and Digital Transformation in Munich, stated: "The high-tech sector is still too small, the public administration is not digitalized enough, and the education system is not adapting quickly enough to the changes brought about by AI"4

4

.

Germany's continued reliance on paper-based processes in public administrative bodies and companies represents a significant barrier to digital transformation1

1

. The country's poorly digitalized public services and skills shortages compound these structural weaknesses2

2

. These challenges have raised questions about whether Germany can translate its established industrial capabilities into leadership in emerging digital technologies, even as many German firms and startups have adopted and integrated AI1

1

.

Accelerate AI Development Through Strategic Partnerships

To address these gaps, Merz appointed Digital Minister Karsten Wildberger when he took office last year, establishing a dedicated ministry for digitalization and modernization1

1

. Wildberger emphasized the urgency on ARD's program, stating: "This is where value is created, where growth is generated and where jobs are created. What matters now is really getting started and consolidating what we have already begun"4

4

. The minister called for innovation-friendly regulation, arguing that "when it comes to regulation, we need more room for innovation"4

4

.

The government has pledged to catch up with European countries that have moved faster on digitalization, including the Netherlands and Denmark2

2

. However, AI independence does not mean isolation. Following a five-day trip to Singapore, Japan and South Korea, Merz indicated Germany would work with like-minded partners such as Canada and France to reduce reliance on foreign technology1

1

. He and French President Emmanuel Macron hosted a summit on European digital sovereignty in Berlin a year ago2

2

.

Investment Commitments Signal Economic Competitiveness Push

Investment commitments are beginning to materialize as Germany seeks to modernize digital infrastructure. At a summit last month, companies including Amazon and Nvidia joined pledges worth more than €225bn, according to the economy ministry2

2

. Germany also aims to quadruple its AI computing power by 20302

2

. These investments reflect the growing connection between technological capability, economic competitiveness and national autonomy3

3

.

Merz's strategy combines near-term support for commercially useful industrial applications with longer-term research into emerging technologies, including AI integrated with physical machines and robotics3

3

. This approach leverages Germany's traditional strengths in industrial engineering, machinery and electronics rather than competing exclusively in general-purpose AI systems3

3

. The chancellor highlighted these industrial strengths while acknowledging that translating them into digital leadership remains a critical challenge1

1

. The Digital Summit brought together government representatives, experts and tech entrepreneurs from numerous countries for discussions on AI's opportunities, risks and impact4

4

.