Two Forces
What runs the economy when coordination becomes programmable?
AI's economic impact runs on two forces. Tokenization makes value programmable. Autonomous agents make execution programmable. Together they replace coordination that corporations used to charge for.
Vocabulary
Two words to fix once.
| Word | In this onboarding | Not |
|---|---|---|
| Agent | An autonomous loop: sense, decide, act, learn — without a human relay | A prompt or a chatbot |
| Tokenization | Converting something into a programmable unit | Crypto speculation |
Why Both
A token without an agent is alignment without execution. The treasury sits.
An agent without a token is execution without alignment. Work happens, but who decided, who benefits, and who carries the risk is not encoded.
Receipts close the loop. In the protocol layer this becomes IntentTrace v1.1 — verifiable scope on every agent action.
Context
- Economy — the spine
- Autonomous Agents — most readers start here
- IntentTrace — operational receipt schema
Questions
If your team is building agents, who is encoding the incentive side — and if you are building tokens, who is executing them?
- When the agent acts but no receipt proves it, who is accountable for the outcome?
- If tokenization encodes alignment and agents encode execution, which breaks first when the system fails?
- What does "coordination cost" mean for your team — and is it falling?