本书不是一本关于 AI 工具、生产力或岗位替代的常规之作。它主张：GPT 时代最深的转变，不是答案的自动化，而是全新问题空间的诞生。几个世纪以来，教育、工作与产业都围绕「解决已被定义的问题」来组织；当 AI 接管越来越多这种旧的「问题处理」工作，中心问题就变了。未来不再主要属于那些更高效地处理既有任务的人，而属于那些能识别旧问题系统的极限、想象新问题、并帮它们变成真实结构、平台与产业的人。
本书把这一论点发展为一个完整的文明框架，提出一条核心序列：新工具生成新的感知与意义形式；新的感知形式打开新的问题空间；新的问题空间催生新产业、新软件系统、新教育模式，以及人的新角色。在这个意义上，「问题创造力」既成为 GPT 时代第一位的核心技能，也成为一种新的第一生产力。横跨哲学、管理、教育、软件、健康、创业与未来学，本书为理解这一转型提供一套统一语言。它把软件重新定义为不只是代码，而是「思想进入现实的第一具身体」；主张未来企业必须从「流程驱动的机构」演化为「问题空间机构」；并提出一个重大的新经济前沿：一个个性化的、自动化的、以意义为中心的经济——在其中，具体的人、而非抽象的平均用户，成为价值创造的中心。
这是一本写给「觉得主流 AI 话语仍太浅」之人的书；写给「知道旧式学校已够不着未来」的教育者；写给「察觉下一批伟大产业将从新问题世界、而非旧市场类别中涌现」的创业者与投资人；也写给「相信文明本身正在被重写」的思想者。它的核心答案清晰：未来的人类不会只是在 AI 中幸存，他们会创造新的问题空间、新的意义空间、新的文明形态。
本书全文尚未上线。下面三篇选自它的原稿《实践的智慧》（王德生、张奕全、邹军令 著，2025），可以先读。
壹何谓问题约 1.3 万字 · 原载「华智慧泉」2025-08-11在人类思想与文明的发展史中，“问题”始终是行动与思考的出发点。无论是在哲学推理、宗教训诫、科学研究还是社会管理中，问题的定义不仅决定了人们如何认识世界…… 贰新质生产力的本体论与方法论解析约 9,000 字 · 原载「三二一智慧」2025-03-10在全球化、数字化以及可持续发展理念日益普及的时代，生产力的内涵与外延正经历深刻变革。工业文明以来，传统生产力理论通常聚焦资本、劳动力、技术要素的投入与产出效率。 叁商业实践智慧的三大革命约 1.8 万字 · 原载「三二一智慧」2025-08-12当代商业正面临一个结构性的核心矛盾：商品价值的静态性与顾客需求的动态性。传统的价值商业模式……What Will Future Humans Do? is not a conventional book about AI tools, productivity, or job replacement. It argues that the deepest transformation of the GPT age is not the automation of answers, but the birth of entirely new problem spaces. For centuries, education, work, and industry have been organized around solving already-defined problems.
As AI takes over more of that old problem-processing work, the central question changes. The future no longer belongs mainly to those who handle existing tasks more efficiently. It belongs to those who can identify the limits of old problem systems, imagine new ones, and help turn them into real structures, platforms, and industries. This book develops that argument into a full civilizational framework.
It proposes a core sequence: new tools generate new forms of perception and meaning; new forms of perception open new problem spaces; new problem spaces give rise to new industries, new software systems, new educational models, and new roles for human beings. In that sense, problem-creating power becomes both the first core skill of the GPT era and a new form of first productivity. Across philosophy, management, education, software, health, entrepreneurship, and future studies, the book offers a unified language for understanding this transition. It redefines software not merely as code, but as the first body through which thought enters reality.
It argues that future enterprises must evolve from process-driven institutions into problem-space institutions. It also proposes a major new economic frontier: a personalized, automated, meaning-centered economy in which concrete human beings, not abstract average users, become the center of value creation. This is a book for readers who feel that mainstream AI discourse is still too shallow; for educators who know that old schooling no longer reaches the future; for entrepreneurs and investors who sense that the next great industries will emerge from new problem worlds rather than from old market categories; and for thinkers who believe civilization itself is being rewritten. Its central answer is clear: future humans will not merely survive AI.
They will create new problem spaces, new meaning spaces, and new forms of civilization.