The market is currently fond of a saying: AI Agents will become the killer app for large-scale adoption of Crypto.

But I think this judgment is only half correct.
AI Agents will indeed drive growth in on-chain activity, but what they change may not be the number of users, but the structure of on-chain participants.
In the past, blockchain defaulted to serving humans; in the future, that may not be the case.
What truly matters is not whether AI will issue tokens, but whether AI will become independent economic participants.
Because once Agents start autonomously completing tasks, they will inevitably face several issues: how to pay? How to build credibility? How to verify identity? How to automatically sign agreements?
And traditional internet systems are not well-suited for these needs; banking systems assume you are a natural person, legal systems assume you operate on human time scales, and platform systems assume centralized authority.
But Agents do not conform to these rules, so the real intersection of artificial intelligence and cryptocurrency is actually the machine economy.
Stablecoins will play a very critical role here.
Because machines need real-time, global, programmable payments, not banking hours.
I even believe that one of the biggest future demands for stablecoins may not be cross-border trade, but automatic settlement between AI and AI.
On-chain reputation will also be redefined.
Many people today still discuss DID (Decentralized Identity) at the human identity level, but I increasingly feel that the true explosion of DID may come from AI Agents.
Because one of the most important questions in the future will become: Has this agent historically fulfilled its commitments reliably? Is it trustworthy? Has it engaged in malicious behavior?
These things are naturally suited for on-chain recording.
I am actually skeptical of many popular narratives, especially fully decentralized AI.
Currently, the leading large models still heavily rely on centralized resources; training requires highly unified data, computing power, and scheduling systems.
Therefore, I believe fully decentralized training will not become mainstream for a long time.
What has real practical demand is decentralized inference and computational markets, because inference stages are more suitable for global idle GPU scheduling.
The most underestimated direction right now, in my opinion, is on-chain Agent collaboration protocols, because in the long run, the most valuable asset may not be a single AI, but how AI forms an economic network.
And the most overhyped are many AI meme projects; many projects just repackage chatbots and issue tokens. That’s not new infrastructure, just a new form of speculation.
I even believe that the biggest change in crypto in the future may not be more people entering, but increasingly more non-human participants.
AI Agents may not save crypto, but they will reshape it.