In the 2025 cryptocurrency market, the combination of AI and Web3 is no longer a new topic. What truly interests people, however, is often not how advanced the technology itself is, but what practical problems these technologies can solve and what new value circulation methods they can create. HoloworldAI has recently drawn attention, not because it has proposed any revolutionary concepts, but because it is trying to do something quite interesting: to make AI agents themselves a tradable digital asset.
Speaking of content creation, the current situation is actually quite awkward. On one hand, tools like ChatGPT and Midjourney are becoming increasingly powerful, but they are all controlled by a few large companies, with subscription fees rising repeatedly, leaving creators with no choice but to passively accept. On the other hand, Web3 claims to give creators more rights, but in reality, most on-chain applications have high barriers to entry and poor experiences, making it impossible to talk about productivity tools. What HoloworldAI wants to do is find a balance between these two.
Ava Studio is quite a typical product. On the surface, it looks like an AI video generation tool where users can create short videos and meme content. The Pudgy Penguins NFT project has used it for IP marketing content. But the really interesting part is that the AI agent behind this tool itself is a tokenized IP — $AVA. The market cap of this token once reached 320 million dollars, with over 55,000 holders and 54,000 fans on platform X. Just think about what that means! A creation tool, whose 'soul' itself is a digital asset that can be bought, sold, and appreciated.
This 'tool as IP' model is actually quite disruptive to traditional thinking. In the past, we used Photoshop, and Adobe made money; with Figma, Figma made money. But if Photoshop itself were a tradable token, the stronger its functions and the more users it had, the more directly the holders could benefit, which completely changes the logic. Creators are no longer just users of the tool; they can also be co-owners of the tool itself. This interest-binding relationship could give rise to entirely different community forms and collaboration models.
Of course, there are also questions that need to be clarified. What exactly supports the value of the tokenized AI agent? Is it usage frequency, community consensus, or future income expectations? If it only relies on speculation and meme culture for support, then it is no different in essence from those fleeting animal coins before. HoloworldAI needs to prove whether this model can form a sustainable value cycle: users create content using the tool, content brings traffic and income, income feeds back into the ecosystem, token value is supported, attracting more developers and creators to join.
From an infrastructure perspective, HoloworldAI is building a complete architecture that includes the creation layer, distribution layer, and protocol layer. This idea is actually quite pragmatic. If only tools are made, user stickiness is limited; if only protocols are made, the implementation is too slow. Connecting the three layers allows AI-native applications to run in a decentralized environment, which is at least the right direction.
However, to be honest, it is still too early to judge how far this project can go. The AI agent economy is just getting started, and everyone is exploring. Whether HoloworldAI can break through from many competitors depends crucially on product experience, community operation, and the continuous validation of its business model. But at least from the current exploration, it provides a sample worth observing: when the creation tool itself becomes an asset, and when the usage behavior and holding behavior are linked, the underlying logic of the content economy may undergo some subtle changes.
For those interested in the intersection of AI and Web3, this attempt is meaningful in itself. Regardless of whether it ultimately succeeds, it at least shows us another layer of possibility beyond mere technological integration: not simply stuffing AI into blockchain, but redefining the role of AI in decentralized ecosystems and the way value is captured. This may be the most promising aspect of this direction.