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Autonomous Prosperity
How Learning, Enterprise, Capital, and AI Can Restore the Power to Choose
This book is 100% completeLast updated on 2026-07-27
A practical work of nonfiction for operators, professionals, and founders who want learning, enterprise, capital, and AI to expand their power to choose rather than multiply their obligations.
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About the Book
Why do stronger tools so often leave us busier, less able to refuse, and less able to stop? Autonomous Prosperity proposes a standard of prosperity that goes beyond earning more or moving faster: whether a person retains the power to choose, refuse, wait, exit, and begin again when the stakes are high. Beginning with an agency balance sheet, the book examines control over time, cash-flow resilience, portable capability, quality of judgment, durable relationships, and the right to exit. It then puts learning, enterprise, capital, and AI back in their proper roles. This is not a wealth shortcut, a memoir, or a temporary AI tools manual. It is an evidence-aware practice system with counterexamples, limits, and stop conditions.
Author
About the Author
杨永飞
杨永飞，实践型学者，长期在企业实践、技术应用与研究之间工作，关注证据如何进入真实决策，以及学习、资本与 AI 如何共同扩大人的选择权。
杨永飞 is a practitioner-scholar working across enterprise, technology, and research. His work focuses on how evidence enters real decisions and how learning, capital, and AI can expand the human power to choose.
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