📄 中文摘要
在与 AI 交互时，企业的背景信息如客户、技术栈、项目历史和偏好等，每次会话结束后都会消失，导致需要重复解释。设想一个不同的世界，每次会话都将背景信息存入一个持久层，未来的会话可以自动从中提取信息，形成一个不断增长的知识积累。这种将复利应用于 AI 语境的想法，可能成为下一个十年中最被低估的竞争优势。
AI 语境的复利效应：你的知识层将成为最有价值的商业资产
📄 English Summary
The Compound Interest of AI Context: Why Your Knowledge Layer Will Be Your Most Valuable Business Asset
When interacting with AI, businesses often find that their context—such as clients, tech stack, project history, and preferences—evaporates at the end of each session, necessitating repeated explanations. Imagine a different scenario where each session deposits context into a persistent layer, allowing future sessions to automatically withdraw from this accumulated knowledge. This concept of applying compound interest to AI context could emerge as one of the most underrated competitive advantages of the next decade.