AI+Web3 should not just be a "buzzword combination"; what it truly aims to do is make AI a callable, verifiable, and collaborative intelligent executor on the blockchain, automatically responding and completing tasks like a smart contract. Therefore, for such projects to survive, they must make intelligence genuine, data stable, and mechanisms smooth. Only then can AI+Web3 truly transform "closed AI capabilities" into "open on-chain intelligent services," allowing intelligence to run, be used, and thrive in the Web3 world.
After discussing GameFi, let's look at AI + Web3 projects.
What is AI + Web3 for?
In simple terms, it is about bringing "AI intelligence" into the "on-chain world," making artificial intelligence more open, transparent, and decentralized. It can be an AI algorithm model, an agent, or even an on-chain robot that can "take orders, execute, and settle" by itself.
It sounds powerful, but what is the reality? AI is hot, Web3 is flashy, yet AI+Web3 projects are "incomprehensible, unusable, and unworkable." Where is the problem?
1. Too much hype, too little implementation:
Many projects talk about "decentralized AGI" while still relying on OpenAI's API. They claim to have "on-chain AI agents" but depend entirely on humans to push buttons. "AI" is just packaging, "Web3" is merely a token issuance tool; when the two words are combined, it becomes a "narrative double buff." However, truly usable, verifiable, and self-operating projects are extremely rare. According to The Block, in 2024, 80% of AI+Web3 projects will only function at the demo stage, with many so-called "on-chain reasoning" projects actually running AI on centralized servers, with the blockchain merely storing a transaction record.
2. Black box models, data not on-chain:
AI emphasizes transparency, fairness, and bias resistance, but the core models of many AI + Web3 projects are not on-chain, the sources of training data are unclear, and the reasoning processes are black-box operations, ultimately relying on the "project party" for endorsement. So, what is the difference from Web2? The spirit of Web3 is "code is consensus," not "trust me."
3. Unusable, unlearnable:
AI applications have a high threshold; ordinary users do not know how to use these "decentralized agents," and developers are unsure how to integrate such "unstable model services." Web3 users are accustomed to wallets and transactions, while AI users are used to prompts and responses; the habits on both sides are not aligned, resulting in "no one is actually using it."
4. Lack of incentives, lack of collaboration:
AI requires training data, inference computing power, and continuous operation, but in a decentralized environment, these resources are distributed across countless nodes. Who will provide them? How to price them? Who will coordinate? Many projects merely set up a "computing power market" but have not established a complete incentive mechanism, nor a closed loop for data flow and model collaboration.
Now, looking at this AI+Web3 project, what problems does it solve?
You say you are "decentralized AI," but how is your model hosted? Are the parameters on-chain? Is the training data traceable? How do you ensure the credibility of the reasoning process?
You say you are an "on-chain agent," but how does it operate? Is there a complete task flow? Can it execute and settle automatically?
You say you have real implementation, but how can ordinary users call it? Is there an interface that lowers the threshold? Can developers integrate and build?
Ultimately, we must return to three points:
- Are you more open and credible than traditional AI model services? Do you have the real capability of "on-chain execution + on-chain verification"?
- Do you have innovations in mechanisms or technology? For example, on-chain reasoning networks, decentralized data labeling, or models managed by DAOs?
- Are there real scenarios being implemented? Are there real calls happening? Are there real developers building? Rather than just talking narratives, issuing tokens, and doing demos?
AI+Web3 should not just be a "buzzword combination"; what it truly aims to do is make AI a callable, verifiable, and collaborative intelligent executor on the blockchain, automatically responding and completing tasks like a smart contract. Therefore, for such projects to survive, they must make intelligence genuine, data stable, and mechanisms smooth. Only then can AI+Web3 truly transform "closed AI capabilities" into "open on-chain intelligent services," allowing intelligence to run, be used, and thrive in the Web3 world.
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