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AI Agents Leading a New Era in Crypto Assets: The Evolution from Memecoins to Fund Management
Exploring the Fusion of Crypto Assets and Artificial Intelligence: Finding Product-Market Fit
In the field of Crypto Assets, the concept of product-market fit ( PMF ) is equally applicable. Project teams need to deeply understand market demand, rather than just piling up technology. Early Crypto Assets AI projects were often related to decentralized physical infrastructure ( DePIN ), emphasizing the use of distributed data to train AI to avoid control by a single entity. However, this model has limited effectiveness in attracting new users.
In contrast, the emergence of AI agent (Agent) has brought new possibilities to the application side. It is easier to understand and use, thus having better market adaptability. Starting from the GOAT project supported by Marc Andreessen, the development of AI agents in the Crypto Assets field has gone through several stages:
Phase One: Meme Coin Craze
The inclusiveness of meme coins provides a fertile ground for AI agents to grow. GOAT, as the first meme coin generated by AI dialogue, has paved the way. Subsequently, similar concept projects have emerged, but most functionalities are limited to social media interactions, lacking practical applications.
Phase Two: Application Exploration
Gradually, people realize that AI agents can not only engage in simple social interactions but can also extend to more valuable scenarios. This includes services such as content production, investment analysis, and fund management, which are more in line with the needs of Crypto Assets users. At this stage, AI agents and meme coins begin to part ways, forming independent tracks.
It is worth mentioning that the issuance platform also plays an important role at this stage. A high-quality issuance platform can bring about a positive wealth effect, attracting users to continuously pay attention to and purchase the tokens it issues.
Stage Three: Seeking Collaboration
With the enhancement of AI agent functionalities, projects are beginning to explore collaboration possibilities, aiming to establish a more powerful ecosystem. The focus at this stage is on improving interoperability and expanding the ecological network, such as integrating with DeFi protocols or NFT projects to achieve smarter tools.
To achieve efficient collaboration, it has become crucial to establish a standardized framework. These frameworks provide developers with preset components and tools, simplifying the development process of complex AI agents.
Phase Four: Fund Management
AI agents begin to engage in higher-level value creation processes at this stage, such as fund management. This not only includes providing investment advice and generating reports but also encompasses complex tasks such as strategy design, dynamic adjustments, and market forecasting.
As traditional financial capital accelerates its entry into the encryption market, the advantages of AI agents in automation and high efficiency are becoming increasingly prominent. Especially when executing functions such as arbitrage strategies, asset rebalancing, and risk hedging, AI agents can significantly enhance the competitiveness of funds.
Looking Ahead: Reshaping Agency Economics
Currently, we are in the fourth stage, where most Crypto Assets AI agents have not yet delved into daily applications. The future fifth stage may redefine the token economic relationship between distributors, platforms, and agent providers, creating a whole new ecosystem.
The development at this stage may be compared to the evolution of the internet economy, such as the birth of super applications. AI agents may evolve into the entry point for super applications, integrating various platform economies and breaking traditional application silos. In this new ecology, distributors, platforms, and agent suppliers will establish a closely linked economic network, achieving decentralized profit distribution through token economic design.
With the continuous advancement of AI agent technology and the expansion of application scenarios, we look forward to seeing more innovations and breakthroughs that promote the deep integration of Crypto Assets and artificial intelligence, bringing more value to users.