Demographic change and increasing digitalization pose challenges for companies and universities in knowledge management and transfer. Previous isolated solutions have not been able to comprehensively address this issue. This paper presents a new integrated, AI-based approach called the “Learning Cycle,” which connects knowledge management and transfer using artificial intelligence. This approach leverages adaptive learning paths, large language models, and AI-supported authoring tools to efficiently capture, process, and provide explicit and implicit knowledge. The development and validation of a functional prototype, as well as the empirical evaluation in realistic application scenarios, confirm the effectiveness of the model in optimizing learning processes and addressing current challenges in the labor and education market.