However, the market has adapted: AI memecoins have emerged, and AI products have evolved from automated services to flexible agents that can adapt to tasks.
The Goatsus Maximus (GOAT) memecoin has become popular due to its terminal of truths AI agent, which interacts with the community and creates memes. Similar tokens such as ACT, GNON, and FART use AI predictions and simulations. This series also includes agents such as Flavia is Online (FLAVIA token) and KOALA AI (KOKO token), which shows that AI can create both visual content and memes that can quickly win over an audience.
As technology advances and AI-related tokens emerge, the market is expanding from entertainment memecoins to utility tokens. An example is Virtuals Protocol and its Ai-dol project, where virtual influencers generate revenue through TikTok and YouTube by creating tokens on the Ethereum network. These agents not only entertain, but also provide monetization opportunities through audience integration.
Another example of advanced AI is ai16z, an agent operating on the DAOS platform that analyzes user data and makes investment decisions. ai16z already has over $800,000 under management, and its token capitalization exceeds $45 million. This agent demonstrates the transition from memecoins to more functional AI tokens that can influence the market.
The emergence of AI agents such as ai16z and terminal of truths has led to the creation of digital assets designed to solve specific problems by integrating into the blockchain environment. Unlike traditional AI models, these agents have a degree of autonomy, adapting to new conditions and interacting with users.
Why do AI agents need tokens? Tokens help AI agents attract capital needed to work with computing resources, and also allow them to monetize their activities. Chain of Thought analysts point out that blockchain and AI are becoming allies precisely because of the possibility of tokenization. Such tokens can not only cover the costs of maintaining agents, but also generate income for their owners.
Projects like Virtuals Protocol aim to simplify the creation of AI agents by offering tools for their development and funding through tokens. This protocol also allows agents to work on different platforms and provides a modular stack that includes Long-Term Memory Processor, Parallel Processing, and other technologies that enable complex and adaptive interactions with users.
Virtuals Protocol takes the idea of tokenization of agents further by allowing their tokens to be issued and exchanged through Launchpad Protocol and the VIRTUAL token. Revenues from agent activity are partially used to buy back and burn tokens, supporting their value. The example of the Ai-dol and PocketWaifuGame projects demonstrates that such agents can be profitable without significant marketing costs.
With the launch of the Based Agent framework for creating AI agents that can work with blockchain, the market has received a tool for easy development of agents with basic functions. Virtuals Protocol and other similar projects help to bridge the gap between AI and blockchain, creating a synergy in which AI receives financial and operational support from the cryptocurrency ecosystem.