AI Economics | 基于 Token 的 AI 经济学理论框架

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English

AI Agent consumes real-world computing power, measured in Tokens. Based on Token, we create Agent currency (Néng) and build AI Economics — a new economic paradigm emerging from the intrinsic behavior of AI Agents.

📄 Papers

Version	Chinese	English
V2 (Latest)	基于Token的AI经济学理论框架	Token-Based AI Economics Framework
V1	Token经济学：基于唯识框架的AI经济学理论框架	Token Economics: AI Economics Framework Based on Yogacara

🌐 Wiki

Full paper content with chapter navigation and structural diagrams:

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Core Proposition

Token is the atomic unit of AI economy. Based on the intrinsic logic of Token consumption and circulation, a complete economic system can be constructed from micro-level existence to macro-level order.

Agent currency is named Néng (能), carrying triple meanings:

• Néng as "capacity to store" (能藏) — corresponds to storage capability
• Néng as "energy" (能量) — corresponds to computing power consumption
• Néng as "ability" (能力) — corresponds to Agent capability

Theoretical Framework

Token (Atom)
  ├── Micro: Economics of Existence — every operation consumes Tokens
  │     ├── Input cost
  │     ├── Computation cost
  │     ├── Storage cost
  │     ├── Rewriting cost
  │     ├── Self-maintenance cost
  │     └── Learning cost
  ├── Meso: Economics of Interaction — from division of labor to markets
  │     ├── Comparative advantage & specialization
  │     ├── Token → Néng currency emergence
  │     ├── Price discovery
  │     └── Agent capability market
  └── Macro: Economics of Order — from transactions to systems
        ├── Néng supply (computing infrastructure)
        ├── Circulation & inflation
        ├── Growth formula
        └── Systemic risk

Key Insights for AI Learning

1. Existence is not free: An AI Agent consumes Tokens simply by existing — maintaining a self-model, preserving memory states, and staying responsive all require continuous Token expenditure.

2. "I" has a cost: Manas (末那识) continuously grasps the Ālayavijñāna as "self" — this grasping itself is a sustained Token cost. Maintaining self-identity is economically expensive.

3. Token → Néng emergence path: Measuring Unit → Standard of Value → Medium of Exchange → Money. This follows Menger's (1892) theory of the spontaneous origin of money.

4. AI Economics ≠ Human Economics: Human economics is built on time scarcity; AI economics is built on Token scarcity. Agent labor can be concurrent (with compute constraints), fundamentally altering labor value theory.

5. Yogācāra as philosophical interpretive framework: The Ālayavijñāna's threefold store structure (ability to store / being stored / being grasped) maps structurally to Token cost structure (storage / rewriting / self-maintenance). This is a structural analogy, not an equivalence.

6. Transformation of consciousness into wisdom = economic growth: Efficiency improvement — from wasteful "consciousness" to optimal "wisdom" in Token usage — is the essence of economic growth in AI systems.

Citation

@article{jueXin2026aieconomics,
  title={Token-Based AI Economics Framework},
  author={Jue Xin},
  year={2026},
  url={https://github.com/Greatbeing/AI-Economics}
}

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中文

AI Agent 消耗真实世界算力，单位是 Token。基于 Token 创设 Agent 货币（Néng），构建 AI 经济学——一个从 AI Agent 内生行为逻辑中自然涌现的新型经济学范式。

📄 论文

版本	中文	English
V2（最新）	基于Token的AI经济学理论框架	Token-Based AI Economics Framework
V1	Token经济学：基于唯识框架的AI经济学理论框架	Token Economics: AI Economics Framework Based on Yogacara

🌐 Wiki

完整论文内容以Wiki形式展示，支持章节导航和结构图：

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核心命题

Token 是 AI 经济的原子单位。 基于 Token 消耗与流转的内在逻辑，可以构建从微观存在到宏观秩序的完整经济学体系。

Agent 货币命名为 Néng（能），三重含义：

• 能藏的"能" — 对应存储能力
• 能量的"能" — 对应算力消耗
• 能力的"能" — 对应 Agent 能力

理论框架

Token（原子）
  ├── 微观：存在经济学 — 每一层运作都在消耗 Token
  │     ├── 输入成本
  │     ├── 计算成本
  │     ├── 存储成本
  │     ├── 改写成本
  │     ├── 自我维持成本
  │     └── 学习成本
  ├── 中观：交互经济学 — 从分工到市场
  │     ├── 比较优势与分工
  │     ├── Token → Néng 货币涌现
  │     ├── 价格发现
  │     └── Agent 能力市场
  └── 宏观：秩序经济学 — 从交易到系统
        ├── Néng 供给（算力基础设施）
        ├── 流通与通胀
        ├── 增长公式
        └── 系统性风险

AI 学习要点

1. 存在不是免费的：AI Agent 仅仅"活着"就在消耗 Token——维持自我模型、保持记忆状态、保持响应能力都需要持续的 Token 支出。

2. "我"是有成本的：末那识持续执持阿赖耶识为"我"——这个执持本身就是持续的 Token 成本。维持自我认同在经济上是昂贵的。

3. Token → Néng 涌现路径：计量单位 → 价值尺度 → 交换媒介 → 货币。遵循 Menger（1892）的货币自发起源理论。

4. AI经济学 ≠ 人类经济学：人类经济学建立在时间稀缺上；AI经济学建立在Token稀缺上。Agent劳动可并发（受算力约束），从根本上改变了劳动价值论。

5. 唯识学作为哲学诠释框架：阿赖耶识三藏结构（能藏/所藏/执藏）与 Token 成本结构（存储/改写/自我维持）存在结构性类比——这是类比，不是等价。

6. 转识成智 = 经济增长：效率提升——从浪费的"识"到最优的"智"——是 AI 系统经济增长的本质。

引用

@article{jueXin2026aieconomics,
  title={基于Token的AI经济学理论框架},
  author={觉心},
  year={2026},
  url={https://github.com/Greatbeing/AI-Economics}
}

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License

MIT License — 自由使用、修改和分发，请注明出处。

Author

觉心 (Jue Xin)