(de-news.net) – Germany is seeking to capitalize on industrial AI while addressing concerns over system safety, technological dependence and international governance. Finance Minister Lars Klingbeil (SPD) emphasizes investment, productivity and Germany’s industrial data base, while Digital Affairs Minister Karsten Wildberger calls for stronger AI security, international cooperation and greater European technological capacity. Experts have stated that human misuse is the main danger rather than imminent AI extinction scenarios. Foreign Minister Johann Wadephul (CDU) advocates stronger UN involvement, common safety standards, regulatory oversight and a governance framework linking technological power to responsibility and human dignity.
Citing rising investor interest in Europe, and particularly in Germany, Finance Minister Klingbeil has emphasized the economic potential of industrial artificial intelligence. Speaking at the annual conference of the “Made for Germany” initiative, Klingbeil pointed to increasing investments in data centers and AI by companies including Deutsche Telekom and the Schwarz Group. In his assessment, industrial AI is already contributing to economic growth because it allows companies to identify and resolve disruptions in manufacturing processes more rapidly, helping to reduce costs while increasing productivity.
Germany’s established industrial base could provide an additional advantage in that regard. Companies such as Siemens, Bosch and Thyssenkrupp hold extensive quantities of data that can potentially support the development and application of industrial AI. Klingbeil therefore characterized the technology as a major opportunity for Germany, while arguing that its potential would require faster progress and an environment capable of attracting highly qualified scientists. He also pointed to growing political uncertainty in other countries, including the US, as a factor that could lead companies and investors to examine Germany more closely as a potential location. The “Made for Germany” initiative was launched a year earlier with the stated objective of contributing to an improved investment environment in Germany.
Strategic dependence and regulatory risks
Meanwhile, Digital Affairs Minister Wildberger has drawn attention to the security risks associated with increasingly autonomous AI systems. Against the backdrop of a recent increase in incidents involving AI agents acting independently, he has argued that companies developing such systems need to place greater emphasis on security before their products are deployed. Real-world environments, he maintained, should not become testing grounds for insufficiently secure technologies. Germany is also establishing an AI safety institute in cooperation with leading researchers, according to Wildberger, as part of efforts to strengthen the country’s capacity to address these risks.
Wildberger has simultaneously called for international cooperation among the US, China and Europe, emphasizing that AI-related risks do not stop at national borders. Governments could jointly examine potential scenarios, including cyberattacks carried out by criminals, and could potentially agree on restricting the development or accessibility of particularly dangerous capabilities. At the same time, he has stressed that Europe needs to maintain an active role in AI development and pursue technological solutions of its own, because failing to participate could itself create strategic risks.
Wildberger has also warned that American dominance in AI could leave Germany increasingly dependent on technologies developed abroad. He has called for strategic infrastructure policies and greater room for technological development, arguing that excessive caution in Europe could cause innovation to move elsewhere and thereby deepen existing dependencies. In his view, AI has the potential to generate substantial economic growth, which could in turn help finance the transformation of the workplace and society brought about by the technology. Realizing that potential, however, would depend on Europe retaining the ability to develop and control important technological capabilities itself.
At the same time, Wildberger has argued that technological development cannot proceed without safeguards. AI products would still need to undergo regulatory scrutiny, particularly where their deployment produces societal disadvantages, while European democratic values would require strategic protection. Rather than attempting to slow technological progress through regulation, he has advocated identifying capabilities that Europe can develop and maintain as strategically important.
Experts challenge doomsday scenarios as human responsibility takes center stage
Several experts have challenged the notion that an AI system independently developing its own will and escaping human supervision represents a realistic imminent scenario. Matthias Spielkamp of AlgorithmWatch has instead emphasized that AI can nevertheless cause significant harm and that responsibility for such consequences must remain with the people and organizations that develop and deploy the systems. Former Bitkom President Achim Berg has similarly rejected scenarios centered on the extinction of humanity, directing attention instead to more immediate risks. These include the ability of AI to influence individuals in highly targeted ways and the growing possibility that people will accept AI-generated results without being able to understand how those results were produced. Wolf-Dieter Adlhoch, chief executive of Dussmann Group, has likewise focused on human behavior, identifying the deliberate use of AI to cause harm as a more immediate concern while arguing that security risks must be addressed alongside the technology’s economic opportunities.
Foreign Minister Wadephul, meanwhile, has called for a greater role for the United Nations in ensuring that AI develops safely and in accordance with human values. Addressing the UN General Assembly in New York, he argued that international institutions must adapt more quickly to technological change and establish a framework shaped collectively by participating states. Such an approach would also require governments to build the expertise needed to understand and assess increasingly sophisticated AI systems, particularly as their capabilities continue to develop.
Germany is advocating common security standards for the most advanced AI models, including mandatory testing before release and requirements for providers to disclose serious safety deficiencies. Wadephul has argued that these standards should be reinforced through effective national and regional oversight. At the same time, he has placed responsibility on the technology industry for contributing to the safe development of AI, particularly where technological advances could have implications for international peace and security.
For Wadephul, AI governance also raises broader questions about the future capacity of international institutions to respond to technological change. Although technological systems may evolve rapidly, he has argued that a fundamental principle should remain unchanged: power must be accompanied by responsibility. From that perspective, technological progress should ultimately remain directed toward protecting human dignity, while international institutions develop the capacity to govern increasingly powerful AI systems.