The current landscape of semantic layers in data management is fragmented, with numerous competing standards leading to forced compromises, lock-in, and inefficient APIs. As LLMs evolve, they may redefine the use of semantic layers, promoting more flexible applications despite the existing challenges of interoperability and profit-driven designs among vendors. A push for a universal standard remains hindered by the lack of incentives to prioritize compatibility across different data systems.