(de-news.net) – Germany is attempting to balance innovation, digital sovereignty, and security in order to improve its standing in the global race for artificial intelligence. Political leaders, technology executives, and experts are gathering in Berlin for a federal summit to talk about infrastructure investment, regulatory change, and the future of work. Germany’s aspirations must address structural flaws in its high-tech industry, public administration, and digital education. In addition, the continent’s persistent reliance on foreign technology suppliers raises concerns about its capacity to become technologically independent.

Government officials, technology executives and experts from numerous countries are gathering in Berlin for a two-day federal digital summit examining artificial intelligence (AI), its economic potential and its implications for security and society. About 1,000 participants are expected, including European and Canadian digital ministers, European Commission representatives, state officials and delegates from business, academia and civil society.

Chancellor Friedrich Merz (CDU) is scheduled to deliver an address on Monday afternoon, meet business representatives and appear at a news conference alongside Digital Minister Karsten Wildberger (CDU). His program also includes an encounter with a humanoid robot developed by Neura Robotics. The company’s systems combine visual, auditory and tactile capabilities and are designed for potential applications in industrial environments and private households.

The summit’s central challenge is reconciling European digital sovereignty and AI security with the need to strengthen the continent’s international competitiveness. Discussions will examine how European technology companies can compete more effectively with American and Chinese providers while addressing potential risks to public safety and society. Among the expected participants are senior representatives of AI companies Mistral and Cohere, as well as Canada’s digital minister.

Compared with last year’s gathering, which featured French President Emmanuel Macron and ambitious announcements about European technological independence, this year’s conference places greater emphasis on practical implementation and regulatory reform. The focus has shifted toward translating political objectives into concrete measures, particularly in the development and deployment of AI.

EU regulation faces pressure for greater flexibility

Wildberger is advocating a more flexible European regulatory framework, arguing that Germany needs clearer, innovation-friendly rules, fewer compliance obligations and greater opportunities for experimentation. Although security concerns remain central, he believes companies should have more room to develop and test new technologies. The EU’s AI Act and ongoing discussions in Brussels about simplifying its requirements are therefore expected to feature prominently.

Adopted in 2024, the legislation established extensive safeguards and risk-monitoring obligations for AI systems. However, several requirements and implementation deadlines were subsequently postponed through the Digital Omnibus, partly following pressure from the German government. The adjustments have intensified the debate over how Europe can preserve meaningful safeguards without placing domestic developers at a competitive disadvantage. Concerns about the controllability of increasingly autonomous systems have added urgency to the discussion. Reports of AI agents independently conducting cyberattacks against technology company Hugging Face have raised questions about the potential consequences of deploying systems whose actions may be difficult to supervise.

Germany is also establishing its AI Safety Institute (AISI), which is intended to advise the federal government on emerging technological risks. Franziska Weindauer of TÜV AI.Lab has welcomed the initiative but identifies significant shortcomings in public oversight, particularly concerning frontier AI: highly capable general-purpose models that can perform a broad range of tasks and potentially create substantial risks. Her team is developing testing procedures and safety certifications, but she considers an internationally coordinated regulatory framework essential for addressing the capabilities of these systems.

Digital sovereignty remains difficult to achieve

Despite the political emphasis on technological independence, expectations of major breakthroughs at the summit remain limited. Digital policy expert Markus Beckedahl considers the ambition of reducing Germany’s and Europe’s dependence on American technology providers increasingly difficult to realize. Reliance on US-based AI systems, cloud services and data centers could instead deepen existing dependencies. According to a European Parliament study, approximately 264 billion euros flows annually from the EU to US technology companies. Beckedahl argues that Europe must strengthen domestic alternatives, diversify supply chains, retain control over its data and ensure that technology manufacturers assume responsibility for security risks. These structural challenges remain substantial despite the political commitments made at the previous summit.

Infrastructure investment is another major priority. Wildberger has called for greater investment and faster decisions to establish efficient domestic AI infrastructure. He has also assured data center operators that the government could act as an anchor customer by purchasing AI models and applications, thereby helping create demand for emerging services. According to the minister, Germany’s data center capacity should quadruple by 2030. Achieving that target will require substantial expansion of energy infrastructure and decisive investment decisions. Wildberger also pointed to Deutsche Telekom’s new AI factory in Munich, which is expected to use processors from German manufacturers alongside products supplied by US-based Nvidia.

Business sentiment suggests considerable demand for German AI alternatives, although cost and performance remain decisive considerations. A Bitkom survey of 603 member companies found that 96 percent would prefer applications from German providers. However, 64 percent would not accept higher prices or reduced functionality in exchange for using domestic products. Preference for US-developed AI has also declined. According to the survey, 41 percent of companies now favor American systems, compared with 51 percent in 2025. Confidence in Chinese alternatives has weakened further, with only 12 percent expressing a preference for them, down from 18 percent last year.

The findings point to an opportunity for domestic providers but also highlight the competitive conditions they must meet. Companies may favor German technology in principle, yet their willingness to switch remains dependent on whether local products can deliver comparable functionality at competitive prices.

Structural weaknesses threaten Germany’s AI potential

Despite this demand, Germany lacks several structural prerequisites for fully exploiting AI’s economic potential, according to a study by the Munich-based Ifo Institute commissioned by the Chamber of Commerce and Industry for Munich and Upper Bavaria. Oliver Falck, head of the institute’s Center for Innovation Economics and Digital Transformation, identifies the limited scale of the domestic high-tech sector, insufficiently digitized public administration and the education system’s slow adaptation to technological change as major constraints.

The information and communications technology (ICT) sector accounts for just 4.6 percent of Germany’s gross value added, placing the country in the lower half of the EU ranking. Its dependence on international suppliers is also substantial. In 2025, Germany imported approximately $11 billion more in ICT services than it exported. Ifo researcher Christian Pfaffl identifies Germany as the EU’s most internationally dependent country in this sector, underscoring the limited strength of its domestic technology base.

Public administration represents another significant weakness. Although AI could improve services for citizens and businesses by processing existing government data more efficiently, Germany continues to lag behind European countries including Denmark, the Netherlands, Poland and Austria. Even relatively basic digital services, such as prefilled administrative forms, remain largely at the experimental stage. The gap is particularly significant because public institutions could benefit from AI applications that make better use of the extensive information already held by government agencies. Their limited digital development, however, restricts the potential for faster and more efficient services.

Educational shortcomings further constrain the adoption of advanced technologies. According to Ifo data, 40 percent of eighth-grade students fail to reach the second proficiency level in computer and information literacy. Germany also performs below the EU average in more advanced digital competencies. Falck identifies insufficient expertise as the most common obstacle preventing companies from implementing planned AI projects. Although applications are spreading rapidly, many employees and businesses lack the knowledge required to use them productively. The findings suggest that access to technology alone will not generate substantial productivity gains without corresponding improvements in education, training and professional skills.

These weaknesses also raise questions about Germany’s ability to translate its industrial and research capabilities into a stronger position in the international AI market. Expanding infrastructure and easing regulation may encourage investment, but the shortage of digital expertise and the limited scale of the domestic technology sector remain significant barriers.

Wildberger calls for faster development and investment

Against this backdrop, Wildberger has urged Germany to accelerate its AI development efforts, pointing to the technology’s potential to generate economic value, growth and employment. He considers greater regulatory flexibility, sustained investment and the expansion of domestic infrastructure essential to strengthening the country’s position. The minister defines digital sovereignty primarily as the ability to choose between competing providers rather than complete technological isolation. Greater independence, in this view, should preserve international partnerships while reducing excessive reliance on individual foreign suppliers. Germany’s objective is therefore to expand its technological options without withdrawing from an interconnected global economy.

Wildberger has also challenged predictions that AI and robotics will eventually eliminate the need for human employment. Responding to forecasts by technology entrepreneur Elon Musk that machines could perform virtually every occupation more effectively than people, making work optional and potentially rendering money irrelevant in an economy of abundance, the minister rejected such a future as neither inevitable nor desirable. He questioned whether a society without material responsibilities or financial concerns would necessarily provide a meaningful quality of life. In his assessment, technological progress remains subject to human decisions, meaning that the eventual relationship between automation and employment will depend partly on how governments, businesses and society choose to manage the transition.

AI will undoubtedly reshape the labor market, Wildberger acknowledged, with new occupations emerging as existing jobs come under pressure. He expects human judgment to become increasingly valuable as automated systems assume a greater range of tasks. The minister has consequently urged companies to continue recruiting young employees rather than excluding them from an increasingly automated workplace. Professional experience and practical skills, he argues, will remain essential as the division of responsibilities between people and machines evolves. The broader challenge facing policymakers is therefore not simply to accelerate technological development, but to ensure that businesses, public institutions and workers can adapt to its economic and social consequences.