From October 8 to 9, 2025, AI Grid – the network for AI talent – brought together over 90 young AI researchers and experts from business, science, and politics at the AI Grid Summit at the ECDF. Through panels, keynotes, and workshops, the AI community explored topics such as the responsibility and impact of developing new AI-based technologies, as well as career opportunities in the field of artificial intelligence. As an initiative funded by the BMBF, the network supports key priorities of the new High-Tech Agenda Germany, such as promoting young talents, accelerating the transfer of research into industry, and strengthening Germany's role as a driver of innovation in key technologies like artificial intelligence.
Prof. Dr. Wolfgang Wahlster, Chairman of the AI Grid and the first AI researcher to be awarded the Konrad Zuse Medal – Germany’s highest honor in computer science – in September, opened the conference with a keynote on the combination of generative and analytical AI, highlighting the opportunities this presents for the next generation of AI talent: “The next generation of AI researchers has the chance to be the avant-garde – not just to follow current AI waves such as generative AI and large language models, but to initiate the next wave of innovation themselves. It is already becoming apparent that in industrial AI – which is more in demand from German companies and for export than AI for the mass market – small domain-specific language models (SLMs) are often better suited than large language models (LLMs) due to their lower latency and reduced resource consumption for embedded system architectures. Moreover, it is now clear that hybrid AI systems combining neural and symbolic AI methods are usually required to solve practically relevant problems. Through interdisciplinary collaboration at the highest level of excellence, our AI Grid members have the chance to trigger another wave of AI innovation from Germany – by enabling the combination of generative and analytical AI through machine learning of action and process models and their application in autonomous systems – and thereby take a global leading role through leapfrogging.”
Trending Topic and Practical Use Cases on Day 1: Between Benefit and Responsibility – AI Agents Put to the Test in Real-World Scenarios
According to a recent survey by IT consultancy Capgemini, 70 percent of business leaders see AI agents as one of the top three technologies for 2025. A panel on the first day focused specifically on these AI agents – their possibilities, risks, and societal impact. In her keynote contribution, Irina Weiß-Avetisyan, Strategy and Innovation Specialist for AI at TECHNOLOGIQUE, emphasized that companies need a clear AI strategy before even considering LLMs and AI agents. Despite the power of agent systems, she encouraged the young AI researchers to look ahead toward innovation: “Be ahead of the next wave of innovation. Germany has always been a hub for engineering. While data centers and compute power may be located elsewhere, you are the brilliant minds. You can make a difference. Be aware of that.” Dr. Katharina Weitz, Project Manager at the Fraunhofer Heinrich Hertz Institute, stressed during the discussion that the practical implementation requirements for AI agents are often underestimated. Successful integration, she said, can only occur if the perspectives and needs of users are taken into account from the very beginning. Her message to participants was: “It is important to go deep in research and build expertise. But always keep the real world and its complexity in mind.” Four parallel sessions followed, exploring very practical cases of AI implementation across different industries – including AI agents in mental health, computer vision systems in automotive manufacturing, and industrial production control.
Day 2 – Career Opportunities and Pathways into the AI Job Market
On the second day of the AI Grid Summit, the focus was on careers and job opportunities in the field of AI. The day began with a keynote by Prof. Dr.-Ing. Elif Bilge Kavun, professor at TU Dresden, who outlined possible career paths for university and college graduates. This was followed by presentations on three distinct career routes: AI jobs in industry, research, and start-ups. The day concluded with coaching workshops on applying for jobs in industry, networking as a career booster, and tips on handling stress – a key to successfully completing a PhD.