Author: pan, founder of TP Wallet
For an AI agent to truly become a "widely deployable autonomous software," it needs two core capabilities:
① Composability
② Verifiable
These are precisely the two points that traditional Web2 cannot provide, but which cryptocurrency systems inherently possess.
1. AI requires composability, and composability must be built upon verifiability.
The future of AI agents is not a single model, but:
- Automatically call other services
- Combine other agents
- Automatic code writing
- Automated testing
- Automated decision-making (including actions involving funds).
This is called Agentic Composability.
The question is:
If one agent calls another agent, but you cannot verify that the other party actually performed as expected, then the entire automation ecosystem cannot be closed.
Web2 infrastructure (API + SaaS) cannot provide this strong verifiability because:
- API is a black box
- Data can be tampered with
- The execution result cannot be proven.
- Centralized auditing of permissions
- Money cannot be settled automatically.
in other words:
A Web2 agent cannot fully trust another Web2 agent.
Therefore, automation stops at the "demo level".
2. Cryptocurrencies provide the "verifiable foundational layer" that AI lacks.
Crypto provides three key capabilities needed for the future AI ecosystem at the underlying level:
① Verifiable Execution
Smart contracts are transparent and provable.
ZK proofs enable verification of complex off-chain executions as well.
AI can confirm that "the other party did exactly as I said."
② Verifiable Identity
Decentralized identity DID/Key and Agent code are themselves signatureable.
Solution: Who did it? Is it credible? Has it been tampered with?
③ Verifiable Value Transfer
Smart contract support:
- Automatic deduction
- Automatic payment
- Profit sharing through multi-party collaboration
- Mortgage and Slashing
- Bond mechanism
This allows AI to manage and allocate funds directly without relying on institutions.
This is something Web2 cannot do.
3. AI programming requires "self-testability," and when funding is involved, "automatic verifiability" is even more crucial.
Anthropic's recent acquisition of Bun is a signal:
AI is about to upgrade from "automatic code writing" to a complete cycle of "automatic writing → automatic testing → automatic running → automatic repair".
But once AI runs code automatically and allows that code to directly impact the real world, for example:
- Execute transaction
- Management Budget
- Pay API fees
- Participation in economic activities
Therefore, a verifiable fund security system based on cryptocurrencies is necessary.
Otherwise, AI will just be a toy and won't be relevant to the real economy.
Crypto enables AI to:
- Automatic fines for "execution errors"
- "Good contribution" is automatically rewarded.
- Automatic liquidation during multi-agent collaboration
- Automatic settlement without human trust
This is essential for the future AI Agent economy.
4. Summarize it in one sentence
AI enables software autonomy; crypto makes autonomy trustworthy. Without the verifiability of cryptocurrency, AI agents cannot operate at scale in the real economy.
