AI 1.0 / 2.0 / 3.0: Mapping the Agent Economy with the Web 1.0 → 3.0 Framework
English translation · Original Chinese version available via 中文 toggle.
Agent Economy: when agents gain memory and multi-step autonomy, humans, firms, and agents all become economic actors. This piece maps AI 1.0/2.0/3.0 to Web 1.0/2.0/3.0 — from Transformer (2017) to ChatGPT (2022) to the governance crisis of 2025–2026.
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From Web 1.0 to Agent Economy: Three AI Eras
In 2017, the Transformer paper landed. In 2022, ChatGPT put large models on every desktop.
If you only watch model leaderboards, AI looks like software that ships a new version every few months. Zoom out — using the Web 1.0, 2.0, and 3.0 arc as a lens — and a structural line appears:
Technology breakthrough → new infrastructure → new property and governance rules.
The recurring pattern
After a general-purpose technology is invented, what reshapes society is rarely the invention itself. It is the infrastructure built around it and the institutions that allocate returns and assign liability.
- Steam → railways → modern joint-stock companies
- Electricity → grids → utility regulation and industrial management
- TCP/IP & the web → platforms → attention markets and data rent
AI is on the same path. The difference: infrastructure now carries increasingly autonomous agents, not just bits.
AI 1.0 (≈2017–2022): Machines can work
Signature: capability explosion — models can understand and generate; most users are consumers (prompt in, answer out).
Core question: Can machines work? Answer: Yes.
| Dimension | Web 1.0 | AI 1.0 |
|---|---|---|
| Form | Portals, bookmarks, early search | GPT-2/3, BERT, early diffusion |
| User role | Browse, read | Prompt, one-shot consume |
| Value | Move information online | Move intelligence onto APIs |
Legacy: intelligence is engineerable — but who owns it, who is liable, who captures surplus was deferred.
AI 2.0 (now): Platforms, oligopolies, unfinished rules
Signature: foundation-model labs plus super-platforms; cloud and chips upstream.
| Dimension | Web 2.0 | AI 2.0 |
|---|---|---|
| Super-platforms | Google, Meta, Amazon | OpenAI, Anthropic, Google, xAI |
| User fuel | UGC, clicks, social graph | Dialogues, RLHF, agent traces |
| Distribution | Feeds, app stores | Model routing, default assistants |
Users are no longer just readers — every chat and agent call retrains the platform's intelligence.
2025–2026 flashpoints: agent identity, cross-platform memory, export controls, copyright, safety liability.
AI 3.0 (next): Agent Economy needs new institutions
Agent Economy = when agents hold persistent memory, pursue multi-step goals, and transact on behalf of principals, agents become first-class economic actors alongside people and firms.
That requires inventions Web 2.0 never needed:
- Agent identity & delegation (who authorized this action?)
- Memory ownership (portable context vs walled gardens)
- Settlement layers (agents paying agents — stablecoins, on-chain rails)
- Liability allocation when autonomous chains fail
One-line definition
AI 1.0 proved intelligence can be engineered; AI 2.0 fights over platforms and compute upstream; AI 3.0 must invent property and governance for agents.
FAQ
Q1: Is this just hype? A: The framework is structural, not a price forecast. It helps locate where value and regulation concentrate.
Q2: Why compare to Web eras? A: Each web era solved a different bottleneck — connectivity, participation, ownership. AI eras mirror that sequence.
Q3: What should builders do now? A: Design for delegation, audit trails, and portable memory — the rails AI 3.0 will price.
Dr.Jingle · drjingle.com · Opinion only, not investment advice.
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