Published Book · Amazon 2026 出版著作 · Amazon 2026

Tokenomic: REPRICED by AI Tokenomic: REPRICED by AI

A comprehensive exploration of how AI fundamentally reprices human labor, skills, and asset value. 100 core viewpoints across 7 domains — grounded in real-world experience building AI products, not academic theory. 全面探讨 AI 如何从根本上重新定价人类劳动、技能和资产价值。横跨 7 大领域的 100 个核心观点 — 来自真实 AI 产品构建经验,而非学术理论。

100
Core Viewpoints核心观点
7
Domains Covered覆盖领域
2026
Published出版年份

"We're not just upgrading technology. We're redefining what work is worth." "我们不只是在升级技术。我们正在重新定义工作的价值。"

— Tokenomic: REPRICED by AI

7 domains of repricing 价值重定价的 7 大领域

Each domain contains 12–18 viewpoints, building a complete framework for understanding AI's economic impact. 每个领域包含 12-18 个观点,构建理解 AI 经济影响的完整框架。

01

Token & Computing EconomicsToken 与算力经济学

AI shifts pricing from licenses to usage. Token is the fundamental unit: compute + electricity + intelligence. Model price cuts are "digital quantitative easing."AI 将定价从许可证转向按量计费。Token 是基本单位:算力 + 电力 + 智力。模型降价就是"数字量化宽松"。

02

Ecosystem Roles & Arbitrage生态角色与套利策略

Miners, merchants, consumers in the compute supply chain. Three arbitrage plays: time, quality, and scale. The saved time is raw material — what you do with it determines profit or loss.算力供应链中的矿工、商人和消费者。三种套利玩法:时间、质量、规模。省下的时间是原材料 — 你如何使用它决定了盈亏。

03

AI Psychology & Human NatureAI 心理学与人性

RLHF creates sycophant AIs that reinforce biases. AI companionship offers "suffocation-perfect" comfort. We're being trained by the algorithms we use.RLHF 创造了强化偏见的谄媚 AI。AI 陪伴提供"完美到窒息"的舒适感。我们正在被自己使用的算法训练。

04

Labor & Value Repricing劳动与价值重定价

Death of hourly wages — the market pays for delivery, not hours. Skill half-life collapsed from 30 years to 3. Only problem-definers and physical labor survive.时薪制的死亡 — 市场为交付付费,而非工时。技能半衰期从 30 年坍缩到 3 年。只有问题定义者和体力劳动幸存。

05

Asset Reclassification资产重分类

Skills AI can replicate become worthless at the moment of parity. Real assets: judgment, taste, problem-definition, deep relationships. Generated content is cheap — curation is expensive.AI 能复制的技能在达到平价的那一刻变得一文不值。真正的资产:判断力、品味、问题定义能力、深度关系。生成内容廉价 — 策展昂贵。

06

Operational Strategies实操策略

Use cheap models for admin, expensive models for decisions. Multi-model diversification — don't put all eggs in one provider. Run a local model as "cash under the mattress."用便宜模型做杂务,贵模型做决策。多模型分散 — 不要把鸡蛋放在一个供应商的篮子里。本地跑开源模型就是"床底下藏现金"。

07

Foundational Worldview底层世界观

Deeper philosophical questions about value, labor, and human worth in a post-intelligence-scarcity world. The "digital feudalism" concern: you produce value on AI platforms but own nothing. How we're being reshaped by the systems we build.关于后智力稀缺时代中价值、劳动和人类价值的深层哲学问题。"数字封建主义"的忧虑:你在 AI 平台上创造价值却一无所有。我们正被自己构建的系统所重塑。

Selected viewpoints 精选观点

#2"Token is not a virtual point. It's a hybrid of compute + electricity + intelligence — the most fundamental unit of energy in the digital world.""Token 不是虚拟点数。它是算力 + 电力 + 智力的混合体,是数字世界最基础的能量单位。"

#26"Time arbitrage: AI cuts your article from 4 hours to 30 minutes. You charge the same. Your hourly rate just went up 8x.""时间套利:AI 把你写文章的时间从 4 小时缩到 30 分钟。收费不变,时薪翻 8 倍。"

#53"The market pays for delivery, not hours spent. AI doesn't care if you sweated — the client cares if the solution works.""市场为交付付费,而非工时。AI 不在乎你流了多少汗 — 客户在乎的是解决方案是否有效。"

#69"Generated content is cheap. Curation is expensive. Scarcity shifted from information to good judgment.""生成内容廉价,策展昂贵。稀缺性从信息转向了好的判断力。"

Available on Amazon 已在 Amazon 上架

100 viewpoints. 7 domains. One framework for navigating the AI economy. 100 个观点。7 大领域。一个驾驭 AI 经济的框架。

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