
Why is Crypto the key infrastructure for the large-scale deployment of AI Agents?
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Why is Crypto the key infrastructure for the large-scale deployment of AI Agents?
AI programming requires "self-testing capability," and when involving funds, it requires "automatic verifiability."
Author: Blockchain Knight
For AI Agents to truly become "widely deployable autonomous software," two core capabilities are essential: composability + verifiability.
These two aspects are precisely what traditional Web2 cannot provide, but which cryptocurrency systems inherently possess.
1. AI needs composability, and composability must be built on verifiability
The future of AI Agents isn't single models, but rather: automatically calling other services; combining with other Agents; automatically writing code; automatically testing; automatically executing decisions (including actions involving funds)—this is called agent composability.
Here's the problem: if one Agent calls another Agent but you can't verify that it actually executed as expected, the entire automation ecosystem cannot form a closed loop.
Web2 infrastructure (APIs + SaaS) cannot provide this strong verifiability because: APIs are black boxes; data can be tampered with; execution results cannot be proven; permissions rely on centralized audits; payments cannot be settled automatically.
In other words: a Web2 Agent cannot fully trust another Web2 Agent. Thus, automation stalls at the "demo level."
2. Cryptocurrency provides the missing "verifiable foundational layer" for AI
Crypto provides three fundamental capabilities at the base layer that AI's future ecosystem requires:
① Verifiable execution
Smart contracts are transparent and provable. ZK proofs allow off-chain complex executions to be verified as well. AI can confirm "the other party really did what I instructed."
② Verifiable identity
Decentralized identities (DID/Key), Agent code itself can be signed.
Solves: who did it, whether it's trustworthy, whether it has been tampered with.
③ Verifiable value transfer
Smart contracts support: automatic deductions, automatic payments, revenue sharing among multiple parties, collateral and penalty mechanisms, deposit systems.
This enables AI to manage and orchestrate funds directly without relying on institutions—something Web2 cannot achieve.
3. AI programming requires "self-testing," and when involving funds, demands "automated verifiability"
Anthropic's recent acquisition of Bun is a signal:
AI is about to upgrade from "automatically writing code" to a complete cycle of "automatically write → automatically test → automatically run → automatically fix."
Once AI automatically runs code and allows that code to directly impact the real world—such as executing trades, managing budgets, paying API fees, participating in economic activities—it must have cryptocurrency's verifiable financial security system.
Otherwise, AI remains just a toy, unable to engage with real economies.
Crypto enables AI to:
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Automatically penalize "execution errors";
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Automatically reward "good contributions";
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Automatically settle accounts during multi-Agent collaboration;
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Automatically settle without requiring human trust.
This is essential for the future AI Agent economy.
4. Summed up in one sentence
AI makes software autonomous; Crypto makes autonomy trustworthy. Without the verifiability provided by cryptocurrency, AI Agents cannot operate at scale within real economies.
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