Author: s4mmy.moca
Compiled by: TechFlow
introduction
The cryptocurrency market is currently experiencing dramatic fluctuations, with the market full of expectations for Bitcoin's price to break through six figures. At the same time, two hot areas are gradually becoming the focus: crypto cultural symbols (Memes) and artificial intelligence (AI).
According to data from @_kaitoai, nearly half of the discussion on Crypto Twitter is concentrated in these two areas.
This article will explore how these trends are shaping the cryptocurrency ecosystem, especially the rise of AI agents and their growing role in decentralized finance (DeFi).
1. The rise of Web 4.0 and the integration of AI
Last week we explored the concept of Web 4.0, revealing the deep integration of cryptocurrency and artificial intelligence, a trend that is rapidly heating up and attracting more attention.
@binance's latest report points out that this emerging market has great potential, especially in areas such as DeFi integration and "Collaborative Swarms", which show strong growth momentum.
While agents have been widely used in multiple industries, the introduction of Crypto Rails has opened up new possibilities. By removing the barriers of the traditional banking system, AI agents can achieve true autonomy.
This seamless integration of technology sets the stage for exponential growth in the market. As demonstrated by this ever-updated Crypto AI Agents and Protocols tracker [link], we can clearly see this trend developing at a rapid pace.
2. Evolution of AI Agents
The ecosystem of AI agents is rapidly iterating and growing at an unprecedented rate.
Source: Cookie3
Recent innovations, such as the AI Agent Index by @cookiedotfun, provide users with tools to track emerging market projects.
Through the integration of decentralized technologies, AI agents evolve from traditional tools to entities capable of autonomously performing complex financial operations.
Key advances in this area include:
Enhance the autonomy of intelligent entities through blockchain technology.
Expand its application scope in the DeFi ecosystem.
Drive broader adoption with a seamless user experience.
If you are developing an AI agent project that is not yet included, you can submit an application to Cookie3's index to increase market exposure.
3. Mindshare vs. Market Cap: Analyzing the Performance of AI Agents
Does attention correlate with price action?
Typically, capital flows to areas that receive the most attention. However, in the AI agent market, the relationship between mindshare (i.e., market attention) and market capitalization is not always positively correlated.
Source: Kaito
Here is how Mindshare compares to market capitalization on November 24:
@0xzerebro is way ahead in attention, but has only half the market cap of GOAT, despite having 2.8x the mindshare.
@dolos_diary has about 60% of GOAT's mindshare but only 20% of its market cap.
@aixbt_agent saw a rapid surge in market value within 12 hours, despite not initially receiving widespread attention.
While Mindshare can reflect market sentiment, it does not always correspond directly to capital flows.
In contrast, “intelligent engagement” — interactions from high-net-worth accounts or financial influencers — may be a more accurate indicator of market potential.
4.ai16z Case Study: Breaking through Traditional Analysis Methods
ai16z’s performance defies traditional valuation metrics such as net asset value (NAV).
Its token price is well above NAV, which is mainly attributed to the market's recognition of its "AI premium".
The so-called “AI premium” reflects the market’s high expectations for its large language model (LLM)’s ability to outperform the market.
In addition, the introduction of @elizawakesup’s framework played a key role. The funds collected through this framework directly added value to ai16z, thereby driving its token price beyond traditional valuation models. This case highlights the importance of the following points:
The development team continues to innovate in technology.
Effectively capture market attention.
Build mechanisms that directly create value for tokens.
5. Key Metrics for Evaluating AI Agents
When looking for undervalued AI agents, here are a few key indicators to look at:
Smart Engagement: If certain accounts are considered “smart accounts,” this may mean that these accounts have already begun early capital deployment.
Niche Dominance: Agents that excel in a specific industry or application scenario tend to gain higher market recognition.
Cash Flow Potential: Agents that can generate real financial returns are more likely to attract the attention of long-term investors.
For example, AiXBT demonstrated tremendous market value by providing comprehensive data insights, resulting in a 50% increase in the price of its token in a short period of time.
However, some artificial agents that use personalization as their main selling point have attracted a lot of attention but have failed to translate into actual financial benefits.
6. Decentralized AI Corner: Other News and Developments
Key Updates
@injective launches new AI agent platform
@nvidia heavily promoted Agentic AI technology in its latest earnings report, driving a sharp rise in the prices of AI-related tokens.
After completing a new round of financing, @xai's market valuation has reached 50 billion US dollars.
@vvaifudotfun launched a new AI agent project and issued tokens, successfully raising $90 million.
@modenetwork launched the AiFi platform, which focuses on the construction of AI intelligent agent infrastructure, and also launched a supporting application store.
@polytraderAI uses Polymarket’s API to implement data analysis and trading functions.
Recommended Resources:
Teng provides a great overview of important updates via COT each week.
Cookie3 launched the AI Agent Index and analytics platform to help users track market trends.
Jeff puts together 9 compelling examples of AI agents, providing readers with in-depth insights.
CryptoStream shares many insightful analyses on AI and cryptocurrency on the X and Telegram channels.
We continue to report on the latest developments in the relevant field every day on the Modern Market platform.
in conclusion
The combination of cryptocurrency and artificial intelligence marks the arrival of a new era, providing unprecedented opportunities for technological innovation and market growth.
As the AI agent ecosystem rapidly develops, understanding key metrics such as market attention, user engagement, and financial viability will become critical.
