Germany’s Path to Synergistic AI Technology and Talent Development

Artificial intelligence (AI) is a key area for Germany to enhance its national technological innovation capabilities and compete in the global tech industry. To seize opportunities in AI development and address challenges such as the disconnect between technology research, talent supply, and industrial demand, Germany has successively launched the “Federal Government’s AI Strategy” in 2018, 2020, and 2023, along with subsequent updates. In 2025, it will initiate the “High-Tech Agenda,” guided by national top-level design, to construct a development system characterized by “strategic leadership, core universities, platform support, and collaborative interaction.” This approach promotes the integrated development of AI education, technology, and talent, creating a unique German path that serves as a valuable reference for other countries in systematically organizing AI education and talent work.

On April 20, a man experiences VR equipment at the Siemens booth during the Hannover Messe in Germany.

Top-Level Strategic Guidance: Anchoring Integrated Development of Education, Technology, and Talent

Talent is the core link between education and technology, and it is the primary resource for AI development. Germany has consistently leveraged national strategy as a tool, iteratively refining its top-level design to clarify the synergistic relationship between education, technology, and talent. This has gradually strengthened the strategic orientation for integrated development, providing solid policy support and financial backing for various practical measures.

Visitors experience rehabilitation equipment at the 2025 International Medical Devices Exhibition in Düsseldorf, Germany.

The 2018 “Federal Government’s AI Strategy” identified education and talent as decisive factors for ensuring the advancement of AI research and development in Germany. It emphasized the need to systematically expand the supply of AI education, popularizing knowledge and skills related to AI across all levels of the education system to align educational content with future societal development needs.

In 2020, the German federal government updated its AI strategy, increasing funding to 5 billion euros. The government stressed that a broad and high-quality professional talent pool is fundamental for Germany to join the ranks of global leaders in AI research and application, necessitating the expansion of AI talent reserves through higher education, vocational training, and continuing education.

In 2023, in response to new challenges posed by the rapid development of generative AI, the federal government updated its strategy again, introducing the “AI Action Plan,” which lists talent alongside research, data, and computing power as four fundamental elements driving AI development. This is seen as essential for Germany to maintain its technological sovereignty and global leadership.

The new government in 2025 will further strengthen the strategic orientation for integrated development in its first top-level technology innovation strategy, the “High-Tech Agenda.” This agenda positions key technologies like AI as innovation breakthroughs, with the cultivation and introduction of professional talent as a crucial support for successful implementation. To realize this strategy, the Federal Ministry of Research, Technology, and Space has earmarked 1.5 billion euros in the 2025 budget to support research innovation and talent cultivation in key technologies like AI, enhancing Germany’s competitiveness in critical technology sectors through collaborative investment in technology and talent.

On April 20, people watch a mechanical dog performance at the Hannover Messe in Germany.

Core Universities Taking Action: Building a Comprehensive Talent Cultivation and Research Support System

The German federal government has positioned higher education as the core hub for the integrated development of education, technology, and talent. It has implemented a series of measures to promote the comprehensive integration of AI into university research and teaching, strengthening the research and educational capabilities of higher education institutions.

The “AI Funding Initiative in Higher Education” was launched to fully integrate AI into the higher education system. In November 2020, the German federal government and state governments jointly approved this initiative. From 2021 to 2025, the federal and state governments will jointly invest approximately 133 million euros at a 9:1 ratio to fund universities in fully integrating AI into their curricula. Funding targets two areas: supporting universities in developing AI curriculum systems or teaching modules to enhance academic talent cultivation, and funding the application of AI technology in university teaching and management. Independent universities can receive up to 2 million euros, while those applying in collaboration with other universities can receive up to 5 million euros. Ultimately, 54 projects were funded, benefiting 81 universities.

A large-scale increase in AI professor positions has been initiated to solidify AI’s foundation in universities. In the first AI strategy published in 2018, the German federal government proposed adding at least 100 AI-related professor positions nationwide by 2025 to address the shortage of faculty in AI fields in universities and enhance academic research and teaching capabilities. This goal was achieved ahead of schedule in 2022. By 2023, the Federal Ministry of Research, Technology, and Space, through various support pathways such as the Humboldt Foundation, the German Research Foundation, and AI competence centers, has added over 150 professor positions. These positions are widely distributed among major comprehensive universities and technical universities in Germany, solidifying the foundation for AI academic research and education.

Universities have established AI-related degree programs, forming a complete training chain from undergraduate to doctoral levels. German universities offer a full range of AI courses covering core areas such as machine learning, neural networks, natural language processing, computer vision, and robotics, with the number of courses ranking among the highest in Europe. Additionally, German universities place great emphasis on the interdisciplinary nature of AI, integrating AI knowledge into traditional disciplines such as philosophy, economics, medicine, media, and law. As of 2022, the number of interdisciplinary AI courses outside of computer science has increased fivefold, totaling 109 courses, most of which are offered as “open courses” accessible to students from all majors. To strengthen the cultivation of master’s and doctoral talent in AI, in 2022, the Federal Ministry of Research, Technology, and Space, in collaboration with the German Academic Exchange Service, launched a graduate program named after German computing pioneer Konrad Zuse—the “Konrad Zuse AI Excellence Academy.” This program features interdisciplinary, cross-field, and international teaching, gathering top experts from academia and industry to form a mentorship team, providing students with academic guidance, research topics, and practical opportunities, and supporting their participation in international exchanges. The three academies are led by Darmstadt University of Technology, Dresden University of Technology, and Technical University of Munich, in collaboration with several research institutions and enterprises, focusing on key areas such as machine learning, trustworthy AI, and health AI. Each academy receives up to 3 million euros annually from the Federal Ministry of Research, Technology, and Space for operational funding.

An audience member shakes hands with a humanoid robot at the 2025 International Consumer Electronics Show in Berlin, Germany.

Building Platform Carriers: Strengthening Collaborative Efficiency in Research Innovation and Talent Cultivation

Germany emphasizes the establishment of diversified platform carriers, integrating resources from universities, research institutions, and industry to promote deep collaboration between research innovation and talent cultivation, overcoming bottlenecks in computing power, technology, and talent in AI development. This has constructed a collaborative development system characterized by “competence centers leading, professional alliances supporting, and infrastructure guaranteeing,” enhancing the overall effectiveness of integrated development in education, technology, and talent.

AI competence centers have been established to create a national team for AI research and a highland for talent cultivation. Since 2018, the German federal government has set up five AI competence centers at top universities such as Technical University of Berlin, Dortmund University of Technology, Dresden University of Technology, University of Tübingen, and Ludwig Maximilian University of Munich, covering major research directions and methodologies in AI such as machine learning, big data, and computer vision. These centers aim to promote breakthroughs in frontier science, cultivate young scientific talent, and create core platforms for national-level AI technology research, application, and talent cultivation. The competence centers are established in collaboration with research institutions and closely cooperate with enterprises, forming a national-level AI collaborative network characterized by resource sharing and interconnectivity. In 2022, the Federal Ministry of Research, Technology, and Space transitioned the funding model for competence centers from short-term project-based to permanent institutional support, aiming to provide long-term guarantees for AI research and talent cultivation through sustained and stable financial support. The Federal Ministry of Research, Technology, and Space and the state governments jointly provide long-term funding at a 5:5 ratio, with an annual total of up to 100 million euros, and each competence center receives between 15 million and 25 million euros annually.

The establishment of the networked German Robotics Research Institute aims to create a top national robotics research alliance and a talent training factory. Robotics technology, as a key area of AI, presents significant opportunities for innovation in Germany. In 2024, the Federal Ministry of Research, Technology, and Space, in collaboration with 14 top universities and research institutions, as well as over 20 partner organizations, established the German Robotics Research Institute (RIG), providing 20 million euros in funding over four years to promote cutting-edge robotics technology research and education, helping Germany become a global leader in embodied AI. RIG has developed a research-oriented talent cultivation plan that spans from undergraduate to doctoral stages, aiming to meet the growing demand for professional talent in the robotics field. Specific measures include offering introductory courses in robotics to guide undergraduates into the field of robotics research, providing a master’s program in robotics taught in English, and establishing fast-track doctoral programs to accelerate the training of high-level talent. Additionally, through industry internships and specialized training, students’ practical capabilities in the industry are strengthened.

The National High-Performance Computing Network for Universities aims to overcome bottlenecks in research computing power. The National High-Performance Computing Network (NHR) is a national-level AI infrastructure project jointly funded by the German federal government and state governments, aiming to integrate and enhance high-performance computing resources in universities, providing internationally competitive computing power support for university researchers. NHR is composed of computing centers from nine universities, including RWTH Aachen University, Darmstadt University of Technology, Dresden University of Technology, Friedrich-Alexander University Erlangen-Nuremberg, Frankfurt University, University of Göttingen, Berlin University Alliance, Karlsruhe Institute of Technology, and Paderborn University, covering Germany’s major research clusters. In addition to providing critical computing power support for research in frontier fields such as AI and big data, NHR also places great emphasis on talent cultivation, offering a series of training courses from basic to advanced levels to enhance researchers’ methodological capabilities and establishing an NHR graduate school that provides up to nine doctoral scholarships annually. In terms of funding, the Federal Ministry of Research, Technology, and Space and state governments jointly invest 62.5 million euros annually in NHR, with funding scheduled from 2021 to 2030. In 2024, the Federal Ministry of Research, Technology, and Space further proposed in the “German AI Computing Infrastructure Action Plan” to equip NHR with processors suitable for AI applications to continuously enhance its technical support capabilities.

AI technology is the core engine driving a new round of technological revolution and industrial transformation. The deep integration of education, technology, and talent is key to promoting high-quality development in AI. Germany has formed a collaborative development model for the integrated development of AI education, technology, and talent, characterized by national top-level strategy guidance, core universities as hubs, and platform carriers as support, effectively linking universities, research institutions, and industry. This model provides a reference for countries worldwide to address the challenges of AI development and improve the layout in related fields, injecting lasting momentum into the sustainable development of AI technology.