The most effective way to present this idea is to begin with the challenge architects face: AI has transformed the persistence landscape. Enterprise applications were once built almost exclusively on relational databases, making JPA a keystone of Jakarta EE.  Today, modern systems use a mix of relational databases, document stores, caches, graph engines, and increasingly, vector databases that support semantic search, retrieval-augmented generation (RAG), and AI-powered applications. Polyglot persistence is now the industry standard. While Jakarta EE standardized relational persistence through JPA, it still lacks a vendor-neutral standard for non-relational persistence. This gap forces developers to rely on fragmented, proprietary solutions, creating barriers to portability, productivity, and innovation.