Summary

• Friedrich Merz called for faster European AI development and adoption at Germany's Digital Summit.
• His sovereignty argument spans technology development, industrial competitiveness, and the modernisation of public administration.
• Germany intends to cooperate internationally while increasing Europe's ability to make and enforce independent technology decisions.

German Chancellor Friedrich Merz has called for faster development and adoption of artificial intelligence across Europe, arguing that the continent must strengthen its own technological capabilities to remain competitive and retain control over decisions affecting its economy and public institutions.

Speaking at the Digital Summit in Berlin on 2 November, Merz described digital sovereignty as the ability to make independent decisions about the development and use of technology, consistent with European values and security interests. That ambition extends across hardware, software, public administration, and industrial applications, where dependence on external suppliers can restrict the choices available to governments and businesses.

The chancellor urged Germany and its European partners to become faster and more effective at developing digital technologies and putting them into use. Although research and infrastructure investment remain important, he placed considerable emphasis on adoption, particularly in Germany’s established engineering and manufacturing sectors.

The summit, organised by the Federal Ministry for Digital Transformation and Government Modernisation, brought together representatives from government, industry, and research. Its programme concentrated on AI security, sovereignty, and competitiveness, including how European organisations can deploy increasingly capable systems without surrendering responsibility for their operation.

Germany’s industrial advantage

Merz identified electrical engineering and mechanical manufacturing as areas in which Germany already benefits from global investment in AI infrastructure and robotics. Those industries supply equipment and specialist expertise used throughout advanced manufacturing, providing an opportunity to participate in the technology’s development as well as its commercial application.

Industrial AI operates under different conditions from many consumer software products. Manufacturers use equipment with long operating lives, established safety procedures, and processes that must remain reliable while new technologies are introduced. Systems that work in controlled demonstrations may require extensive adaptation before they can influence production schedules, maintenance decisions, or quality assurance.

Germany’s industrial businesses possess operational knowledge and data that could support such applications, although making productive use of those resources requires access to computing infrastructure, software expertise, and suitable governance arrangements. AI models must be connected to reliable information and existing processes, while employees need sufficient knowledge to evaluate recommendations and intervene when outputs are inaccurate.

Companies also face decisions about who controls the systems they introduce. Buying software from an international provider may offer immediate access to advanced capabilities, but the terms governing data processing, pricing, technical support, and future product changes can influence how independently an organisation operates.

European technology suppliers may offer alternatives in particular areas, especially where customers value specialised industrial knowledge or local infrastructure. Their ability to compete will depend on performance, cost, interoperability, and the support available to customers, rather than nationality alone.

Sovereignty without isolation

Merz rejected technological self-sufficiency as the objective of his government’s approach. Germany intends to share knowledge and cooperate with allies and international partners, recognising that modern technology is developed through interconnected research, manufacturing, and commercial networks.

Semiconductors illustrate the difficulty of establishing complete independence. Advanced computing depends on design tools, manufacturing equipment, specialist materials, and production facilities distributed across several countries. Even organisations operating their own data centres may depend on imported components and software maintained by suppliers elsewhere.

Greater sovereignty therefore involves managing those relationships while preserving practical alternatives. Organisations can examine whether data and applications can move between platforms, how access permissions are governed, and whether important functions could continue if a provider changed its commercial terms or became unavailable.

These considerations also affect public procurement. A government may choose a technology service because it offers the best available combination of capability and cost, but long-term dependence on proprietary formats or restricted interfaces can make replacing that service difficult. Contract design and technical architecture consequently influence how much control remains with the purchasing organisation.

The approach has parallels with the UK’s recently articulated AI sovereignty principles, which address national control and resilience in the adoption of advanced computing. Germany’s emphasis reflects its particular industrial strengths, while both governments must reconcile strategic objectives with the commercial and technical realities of international supply chains.

Modernising the state

Merz connected the development of AI with Germany’s efforts to modernise public administration. Digital services can reduce repetitive work and improve access to government functions, but their effectiveness depends on the quality of existing records, the compatibility of information systems, and the rules governing automated decisions.

Many administrative processes span multiple departments and organisations, making integration a substantial part of the work. Introducing an AI application without addressing inconsistent data or fragmented responsibilities can leave the original inefficiencies intact, even where particular tasks become faster.

Public bodies must also determine how decisions will be reviewed, who is accountable for errors, and what happens when an automated service becomes unavailable. Those requirements are especially important where technology affects legal rights, access to services, or the handling of sensitive information.

The German government’s summit agenda included wider institutional reform and the role of AI in improving administrative performance. At the same time, the country’s ambitions depend on businesses and public bodies being able to recruit people with the skills to implement systems and maintain them beyond the initial procurement.

Germany has established a cross-government AI taskforce intended to coordinate policy towards 2030, with an accompanying set of measures addressing technology development and adoption. Its work provides a route for translating the summit’s priorities into decisions across departments, although implementation will depend on individual programmes and funding arrangements.

Merz’s address placed European technological control alongside economic competitiveness, industrial development, and government modernisation. The taskforce’s programme and subsequent spending decisions will determine how these priorities are reflected in the infrastructure, procurement arrangements, and services that Germany develops during the coming years.