# Gaps in Current Revenue Sharing Models

While some Web3 projects and traditional platforms offer revenue-sharing mechanisms, they suffer from several limitations:

* **Lack of transparency:** Revenue flows are often opaque, with little visibility into how funds are generated and distributed.
* **Centralized control:** Platform owners or a small set of stakeholders retain most of the value, while contributors and users receive minimal rewards.
* **Limited scalability:** Many models rely on manual or semi-automated processes that cannot scale with the dynamic nature of AI-driven services.
* **Fragmented AI integration:** AI agents are often integrated as siloed tools without a unified framework for revenue generation and distribution.

There is a clear need for a **next-generation revenue sharing model** that is:

* Transparent
* On-chain verifiable
* Scalable across diverse AI agent services
* Community-driven and decentralized