Generative AI platforms are rapidly reshaping the economics of digital content consumption, bypassing publishers and disrupting traditional monetization models. This shift is driven by large language models and retrieval-based systems consuming content in non-human formats, extracting value without attribution or licensing pathways. To put publishers back in control, a new machine-native monetization architecture is proposed based on vector embeddings, verifiable ownership metadata, and an Agent Content Protocol (ACP) that enables licensing, tracking, and monetization for the AI-native web. The infrastructure required to make this vision operational includes embedding SDKs, vector databases, and real-time verification systems.