A New Theory · A New Book
The Great Compression Theory
In the age of AI, the Great Compression Theory was first proposed by
Professor Jin Li of the University of Hong Kong.
A new way to think about AI, organization, and the future.
In the age of artificial intelligence, we may need a new language to understand
how knowledge, decision-making, organizational roles, and human judgment
are being compressed, reorganized, and transformed.
一个新理论 · 一本新书
Great Compression AI
AI时代，大压缩理论（Great Compression AI）
由香港大学李晋教授率先提出。
一种重新理解 AI、组织与未来的方式。
在人工智能快速发展的时代，我们也许需要一种新的语言，
去理解知识、决策、组织角色与人的判断，
正在如何被重新压缩、重组与改变。
Theory
Great Compression AI is not just about technological progress.
It is about what happens when information, processes, roles,
knowledge, and judgment are continuously compressed by AI.
理论
大压缩理论关注的，并不只是技术如何进步。
它更关注的是：当信息、流程、角色、知识与判断
不断被 AI 压缩之后，究竟会发生什么。
About the Author
Prof. Jin Li is Professor at HKU Business School, Zhang Yonghong Professor in Economics and Strategy, Area Head of Management and Strategy, and Director of the Centre for AI, Management and Organization at the University of Hong Kong.
His work sits at the intersection of economics, organization, incentives, and emerging technological change.
关于作者
李晋教授现任香港大学经管学院教授、 经济学与战略讲席教授、管理与策略学领域负责人， 并担任人工智能、管理与组织中心主任。
他的研究位于经济学、组织、激励机制与新兴技术变革的交叉地带。
The Book
This book is not a simple response to the AI wave.
It is an attempt to offer a deeper framework for understanding what AI is really changing beneath the surface — not only in tools, but in structures, institutions, and the ways people organize value, knowledge, and action.
We also hope that readers will enjoy the book.
这本书
这本书并不是对 AI 浪潮的简单回应。
它更试图提供一个更深层的框架，去理解 AI 真正改变的是什么—— 不仅是工具，更是结构、制度， 以及人们组织价值、知识与行动的方式。
我们也期待所有读者会喜欢这本书。