The AAS and OPC UA are pivotal technologies for Industry 4.0, enabling asset data exchange across the value chain based on different lifecycle stages or system requirements. Mapping their meta-models is essential but challenging due to ongoing divergences. Manual mapping efforts have proven unsustainable over time. This work introduces a model-driven approach with simple rules to automate and maintain mappings. We implement this in the aas-core-works of generators, demonstrating consistent asset representation in both AAS and OPC UA. This approach guarantees better long-term maintainability, accelerates development, enhances interoperability, and flexibility of digital twins.