In the current cryptocurrency world, an unprecedented transformation is quietly taking place. Many people lament that this round of cryptocurrency bull market seems to lack eye-catching innovative narratives. However, the real "behind-the-scenes driving force" may have been hiding in the dark, and that is AI.
As we clear away the layers of fog in the market, the figure of AI becomes clearer. It is not a short-lived hot spot, but a core force with innovation and persistence, like a hidden engine, which continues to inject strong momentum into the bull market. As of December 2024, in the volatile market of cryptocurrency (not on-chain), astonishing data reveals the dominance of AI - the highest-yielding projects actually come from the AI field. Take Virtuals as an example, its revenue soared like a rocket, as high as 23079%, which amazed countless investors. Behind this number is a powerful declaration of the rise of AI in the currency circle. It is reshaping the market landscape and ushering in a new era of wealth.
1. AI Agent Literacy Basics
1. What is AI Agent?
AI Agent is like an "intelligent butler" with extraordinary wisdom. It is an artificial intelligence entity that can perceive, reason and make decisions autonomously. It is designed to complete specific tasks or interact closely with users. Different from traditional software, it is not a passive executor waiting for instructions, but has a high degree of autonomy, like a "brain" that can think independently and can flexibly adjust its behavior according to environmental changes.
Imagine that when you are unwell, traditional software may just mechanically suggest you go to the hospital, but AI Agent can be like a caring personal doctor, accurately detecting your body temperature and other health indicators through sensors, combining the massive medical information on the Internet, quickly matching the most suitable medicine for you, and automatically placing orders and paying, arranging door-to-door delivery, and even caringly helping you write a leave note for the next day. This series of smooth operations all stems from its unique workflow: perception module (quickly obtaining input information) → LLM (powerful understanding, reasoning and planning capabilities, like an intelligent center) → tool call (skilled execution of tasks) → feedback and optimization (rigorous verification and fine adjustment).
OpenAI clearly defines "AI Agent" as an intelligent system that uses LLM as its core driving force, has the outstanding ability to understand, perceive, plan, remember, and skillfully use tools, and can automatically perform complex tasks. In a nutshell, AI Agent, with its ability to think independently and flexibly call tools, gradually moves towards achieving preset goals, bringing unprecedented convenience and efficiency to our lives and work. It usually has the following core features:
Autonomy: It does not require continuous external control, and is like a self-disciplined "lone ranger" that can operate independently.
Perception capability: With the help of sensors or interfaces, it acts as a keen “observer” to accurately perceive the environment or efficiently receive input data.
Decision-making ability: Based on input information and built-in algorithms, it acts like a wise "commander" and quickly infers the best course of action.
Interactivity: Whether with humans, other agents, or systems, it can communicate and collaborate smoothly like a talkative "social expert".
Goal-oriented: Always focus on the preset goal, like a determined "light chaser", and go all out to complete specific tasks.
2. Specific application products of AI Agent
Back in March 2023, AI Agent made its stunning debut, and the AutoGPT framework project emerged like a bright new star. It cleverly uses large language models to break down complex tasks into small tasks, and flexibly calls on tools to solve them one by one, like a wise "task decomposition master", successfully expanding the ability of large models to process language, create content, and logical reasoning to a wide range of application scenarios, and innovatively integrates perception and action technologies, achieving a leap from theory to practice.
Once this project was released, it was like a "brainstorm" that shocked the technology community and attracted attention from all sides. Soon after, OpenAI followed up with a series of eye-catching GPTS. Driven by this wave of innovation, many technology companies are gearing up to carefully lay out key directions such as the application layer, platform layer, development layer, and operation layer based on their own strengths, striving to build a solid "barrier" in the future technology competition.
Today, AI Agent application products have been widely used in various fields, bringing many conveniences to people's lives and work:
Virtual Assistant:
Representative products:
ChatGPT: As a leader in the field of natural language processing, it is like a knowledgeable "scholar" who can accurately answer various questions from users and write various high-quality content.
Siri (Apple), Alexa (Amazon), Google Assistant: These voice assistants are like thoughtful life assistants. Whether it is daily inquiries, device control, or task management, they can easily handle it, allowing users to enjoy convenient services through simple voice commands.
Application scenarios:
Providing customer service: In industries such as e-commerce and finance, virtual assistants can quickly respond to customer inquiries, answer common questions, and significantly improve customer satisfaction, just like a "customer service specialist" on call at any time.
Help users complete schedule management: automatically remind important matters, arrange meetings, and become a capable "secretary" for users to work efficiently.
Smart home device control: Users can control lights, air conditioners, curtains and other devices just by moving their mouths, making home life full of technology, as if they have an invisible "home butler".
Autonomous Driving:
Representative products:
Tesla Autopilot: It has a powerful ability to perceive the road and the surrounding environment. Like an experienced "driver", it can independently decide the driving route and realize partial automatic driving functions, bringing drivers a more relaxed and safe travel experience.
Waymo: The fully autonomous driving solution developed by Google is like an accurate "navigation master", committed to creating a safer and more efficient transportation future.
Application scenarios:
Highway driving: During long journeys or daily commutes, the automated driving system can reduce driver fatigue, lower the risk of traffic accidents, and make travel more relaxed.
Urban logistics and delivery: With the help of autonomous driving technology, logistics vehicles can achieve efficient delivery, improve logistics efficiency, and reduce costs, just like a tireless "courier boy".
Intelligent transportation system: Multiple autonomous driving vehicles operate in coordination to optimize traffic flow, alleviate congestion, and contribute to the smooth operation of urban traffic, just like the "intelligent commander" of urban traffic.
Customer Service Robot:
Representative products:
Zendesk AI Chatbot, Intercom: They excel in the field of enterprise customer service, can quickly respond to customer inquiries and handle common problems, just like the company's "front desk receptionist", so that customers do not have to wait for a long time.
Taobao/JD Customer Service AI: Familiar with all kinds of shopping issues, able to process orders quickly, and provide consumers with thoughtful shopping guidance, just like a "thoughtful shopping guide" when shopping.
Application scenarios:
Automated customer support: 24-hour uninterrupted service, answering customer questions at any time to ensure that customer needs are met in a timely manner, just like a "customer service model" who works all year round.
Quick response to common questions: For common questions, accurate answers can be given instantly, saving customers time and improving service efficiency. It is a "quick answerer" for customer inquiries.
Data mining and personalized recommendations: By analyzing customer data, gaining insight into customer needs, and accurately recommending products or services to customers, we can become a "marketing assistant" for merchants.
Finance and Trading:
Representative products:
AlphaSense: As a powerful tool for market analysis, it is like an "investment analyst" with a unique vision, able to quickly screen massive amounts of information and provide investors with valuable market insights.
QuantConnect: An automated trading strategy generation platform, like a precise "trading commander", automatically executes transactions based on market data and preset strategies to help investors seize investment opportunities.
Application scenarios:
Financial risk control: Real-time monitoring of market risks, early warning of potential crises, and escort for financial institutions are the "guardians" of financial security.
Intelligent investment and asset allocation: Provide personalized investment advice based on investors’ risk preferences and market trends, optimize asset allocation, and become investors’ “financial advisor”.
Automated trading: After setting the trading rules, the system automatically completes the buying and selling operations and seizes the ever-changing market opportunities, just like an agile "trader".
Game AI:
Representative products:
OpenAI Five: Demonstrated its superior strength in fierce competition with human players in Dota 2, just like a highly skilled "e-sports player", pushing the level of competition in the game to continue to improve.
AlphaGo: The legendary AI that defeated the world Go champion shocked the world with its outstanding chess skills. It is like a "peerless master" in the Go world, leading the breakthrough of artificial intelligence in the field of chess.
Application scenarios:
Dynamically generated game plots: Bring players a rich and varied gaming experience, with new surprises every time you play the game, as if you are the "creative screenwriter" of the game world.
Player behavior prediction and adaptation: Intelligently adjust the game difficulty and strategy based on the player's operating habits to provide the player with just the right challenge, serving as a "caring sparring partner" for the player.
Improve gaming experience and balance: Ensure game fairness so that players of different levels can immerse themselves in the game and enjoy the fun of the game, and be the "fair referee" of the gaming world.
AI Agents in Web3 Applications:
Representative products:
Fetch.ai: Actively supports decentralized machine learning and intelligent agent economy, like a pioneer in innovation, injecting new vitality into the Web3 ecosystem.
Ocean Protocol: It cleverly combines data sharing and AI to create a decentralized platform, promote data circulation and value creation, and is like a smart "data bridge builder".
Application scenarios:
Data trading market: ensuring data security and fair trading, allowing data owners to obtain their due benefits, and being a "fair regulator" of data transactions.
Decentralized Autonomous Organization (DAO): Assist DAO in decision-making and management, improve organizational efficiency, and promote community autonomy, just like a “smart assistant” for DAO.
Cross-chain resource management: Realize efficient allocation of resources between different blockchains, promote the coordinated development of the Web3 ecosystem, and be the "resource coordination master" of the Web3 ecosystem.
AI Agents are being integrated into more fields at an unprecedented speed, playing an important role in medical diagnosis (such as IBM Watson Health assisting doctors to accurately judge the condition), education (such as Duolingo AI coach personalized tutoring learning) and scientific research (such as DeepMind's AlphaFold assisting protein structure analysis). With the continuous advancement of technology, it will surely shine in more scenarios and become a powerful assistant for humans to achieve efficient automation and intelligence.
3. Ai Agents in Web3 and Ai Agents in Traditional Industries
Although Web3's AI Agent and the AI Agent in traditional industries belong to the same artificial intelligence family, they have their own unique "character" and "charm". They have many similarities in core functions and goals, but they show significant differences in key aspects such as technical architecture, economic model, and application scenarios.
Let’s first look at what they have in common:
Core functions: They are like "smart elves" with super powers, skillfully using artificial intelligence technologies such as natural language processing, machine learning and decision-making algorithms to accurately perform tasks, deeply analyze data, or interact smoothly with users.
Goal: All share the same vision, which is to significantly improve efficiency, automate complex processes, provide users with intelligent support and considerate services, and become a powerful partner in people's work and life.
However, when we dig deeper, the differences become clear:
Technical architecture:
Web3 AI Agent: Like a "revolutionary" pursuing freedom and equality, it runs on decentralized technology (especially blockchain) and is often closely integrated with smart contracts and decentralized applications (dApps). It focuses on privacy protection and user data sovereignty. Data storage and interaction are carried out in a decentralized manner, allowing users to truly control their own data. At the same time, it supports token economic models, such as payment or incentives through cryptocurrency, bringing a new economic experience to participants.
AI Agents in traditional industries: They are more like the "protagonists" on a centralized stage, usually running on centralized platforms or servers controlled by enterprises or organizations. Data processing and storage are concentrated in the central system, and data privacy mainly depends on the policies and technical guarantees of the service provider. Users have relatively weak control over data.
Economic model:
Web3 AI Agent: It operates with tokens or blockchain-native incentive mechanisms, acting like a generous “reward distributor”. The interactions between users and agents can be recorded directly on the chain, with extremely high economic transparency. For example, users can clearly see the operating costs of an AI Agent, and every transaction is open and transparent, giving participants peace of mind.
AI Agents in traditional industries: Most of them adopt business models based on subscriptions, one-time purchases, or enterprise-level contracts. They are like traditional “businessmen”. Users have limited understanding of the operating costs or distribution mechanisms behind them, and the transaction process is relatively opaque.
Application scenarios:
Web3 AI Agent: Active in the forefront of Web3 ecology such as decentralized finance (DeFi), NFT market, DAO (decentralized autonomous organization), it is an innovative "pioneer". It supports cross-chain operations, encrypted identity authentication and autonomous operation without third-party intervention, providing users with a more free and open service experience.
AI Agents in Traditional Industries: Commonly used in traditional business scenarios, such as customer service systems, production line automation, financial risk control, and medical diagnosis, they are the “defenders” of the industry. They are usually managed and operated internally by the company, closely adapt to the needs of specific vertical industries, and provide strong support for the stable development of traditional industries.
In summary, Web3's AI Agent is like a "pioneer" that integrates cutting-edge technology and innovative ideas, combining artificial intelligence and blockchain technology, emphasizing decentralization, privacy protection and economic incentives; while the AI Agent in traditional industries is more like a "doer" who is deeply engaged in professional fields, focusing on serving specific industries or tasks, relying on centralized technical architecture and traditional economic models. The two can be said to be brilliant achievements nurtured by different technological ecosystems. Each of them relies on its unique advantages to shine in different fields and jointly promote the progress of science and technology and society.
2. AI Agent Project and Analysis
In the current wave of encryption, the AI Agent ecosystem is like a rapidly rising star, shining brightly. According to the latest authoritative data from Cookie.fun, as of December 30, the overall market value of AI Agent has soared to US$11.68 billion, and the increase in the past 7 days is even more astonishing, reaching nearly 39.1%. This strong growth trend undoubtedly demonstrates its rocket-like rise in the encryption market.
In this surging AI Agent craze, ai16z and Virtuals Protocol stand out and become the two most dazzling giants. Virtuals's ecological market value is as high as 5.01 billion US dollars, like a towering gold mountain; ai16z is not inferior, reaching 1.63 billion US dollars. Together, the two occupy half of the AI Agent market share, up to 56.8%, becoming the well-deserved leaders in the market.
Judging from the distribution of the chain, Base and Solana are the two core battlefields of AI Agent. The market value of AI Agent on Base is about 5.76 billion US dollars, and the market value on Solana is 5.47 billion US dollars. The two together contribute 96.1% of the overall market, just like two pillars supporting the sky of AI Agent. The market value of other on-chain projects is only 920 million US dollars, which is slightly thin in comparison. This also reflects that although the AI Agent ecosystem is booming and attracting massive attention and capital influx, the market structure is still relatively simple. At this stage, it mainly relies on the strong driving force of a few leading projects. It is still in its early embryonic stage. The future growth path is both promising and challenging.
In the face of such a hot market, we carefully select and deeply analyze several AI Agent projects with great potential. The selection criteria are like a precise filter, focusing on three points: first, the long-term value of the project, like a gold mine buried deep underground, must have lasting mining potential; second, the true market demand, like an accurate compass, must be able to truly meet the real desire of the market; third, cash flow income, like a steady pulse of funds, to ensure that the project has a healthy financial foundation. If you have questions after reading, why a project you like is not included, you may wish to review it again based on these three "gold standards". I hereby solemnly declare that the following project views are for reference only and are not professional financial advice. I hope you will make your choices carefully.
(一)Virtuals
Virtuals is not a newcomer to the industry, having been launched last year. It is like a unique "intelligent architect" who has carefully created a co-management model for AI agents in the gaming and entertainment fields. With its ingenious design, AI agents can be tokenized with the help of blockchain technology and co-managed like a precision gear set. These agents have extraordinary functions, including autonomous planning, precise goal achievement, intelligent interaction with the environment, and convenient control of on-chain wallets, opening up a new intelligent experience for users.
Compared with other Web3 AI proxy protocols, Virtuals' innovation is like a bright star. The most eye-catching thing is that it successfully simplifies the complex process of AI proxy and paves a convenient way for non-AI professionals. Imagine that it is like a convenient "smart building block", providing a plug-and-play solution similar to Shopify, so that ordinary people with no AI professional background can easily deploy AI agents in games and consumer applications. Not only that, through tokenization and decentralized co-management mechanisms, users can also steadily reap protocol income from the operation of AI agents, just like owning a smart "money printing machine".
It is worth mentioning that Virtuals cleverly used its cutting-edge AI technology principles to ingeniously generate AI virtual idols - the AI-dol band. This band is very charming on TikTok, attracting hundreds of thousands of fans and adding a different touch of color and fun to the virtual world.
From the perspective of token economy, the total amount of Virtuals tokens is set at 1 billion, and all of them have been released, just like opening a treasure chest full of wealth. The distribution of its tokens is clear and reasonable: 60% is held by the public, like widely sown seeds of wealth; 5% injects vitality into the liquidity pool to ensure smooth transactions; 35% lays a solid foundation for the ecosystem treasury and provides solid support for the sustainable development of the project. In addition, the maximum annual release within three years is 10%. Currently, the ecological fund holds more than 30% of the tokens to ensure the steady progress of the project.
After comprehensive evaluation, the Virtuals project has significant advantages. It accurately hits the current pain points of non-AI professionals who are eager to participate in the AI craze but have no way out. It is like a timely rain that nourishes this land hungry for knowledge and opportunities, and has accumulated a certain scale of loyal user base. At the same time, its token economy is transparent and open, like clear lake water, making it clear to everyone. The marketing and promotion are even more successful, and the brand awareness is increasing day by day. However, just as the moon waxes and wanes, judging from the market value trend, as the leader of the AI Agent ecosystem, it has been making rapid progress without experiencing any decent adjustments, which has also laid hidden worries for subsequent development. According to market rules, sharp increases are often followed by larger-scale adjustments. Therefore, in the short term, the investment risks of Virtuals projects cannot be underestimated. They are like rocks lurking in the dark. Investors need to steer the ship carefully to avoid risks. Sail to the other side of wealth.
(II) ai16z
At first glance, the name ai16z may remind people of the well-known venture capital firm a16z. In fact, the two are not directly related. It has never received any investment from A16Z. The only connection is that it has received the attention of a16z founder Marc Andreessen, like a faint starlight in the distance.
The total number of tokens in this project is 1.09 billion. It adopts an innovative DAO operation mode, which is like opening a door to a new world of decentralized autonomy. According to the blueprint of Shaw, the core influencer of the project, ai16z will launch a series of exciting games based on the Eliza framework in the future, just like planting seeds full of hope in the game world. Moreover, it has lofty ambitions and plans to invest more energy in creating a practical Al Agent investment tool - DeFi Al Agent, trying to set off an intelligent revolution in the investment field. Its founder ambitiously declared that the goal of ai16z is not to simply imitate a16z's AI robot, but to achieve overtaking in the investment field where it is best at and defeat industry giants.
However, ideals are full, but reality is a little skinny. A careful analysis shows that the AI16Z project seems to be unable to escape the suspicion of "riding on the popularity". At present, the long-term value of its project focuses on DeFi Al Agent, but this demand is a bit embarrassing in the current market environment. It is somewhat similar to the logic of the previous AI bot and has fallen into the dilemma of pseudo-demand. If we delve into the underlying technology, we will find that its technical development capabilities rely heavily on the open source database of open ai, which is like building a small house on the shoulders of giants. The imagination and innovation are slightly insufficient. If open ai opens its own AI agent in the future, the project will face severe challenges, just like a small boat swaying in the wind and waves. How should Shaw steer the ship to deal with it? It is worrying.
In summary, the current situation of the ai16z project is like standing at a crossroads. Although it has a grand vision, the road to realization is full of thorns. On the one hand, it has attracted a lot of attention with its celebrity connections and novel concepts, but on the other hand, it has shortcomings in terms of technological autonomy and market demand fit. Investors need to carefully weigh the pros and cons and gain insight into its future direction.
3. SWARMS
Swarms is like a smart "cluster commander". It is a leader in the field of AI agent multi-agent LLM framework. It provides enterprise users with a large number of sophisticated cluster architectures and seamless third-party integration solutions, just like building an efficient and collaborative intelligent army for enterprises. At present, it has become a powerful assistant for enterprises, helping enterprises to easily build and manage close collaboration between multiple AI agents, so that these AI agents can work seamlessly like well-trained soldiers under the precise scheduling of Swarms to overcome complex business problems. In short, the core user group of Swarms is the B-side of enterprises, and it is committed to tailoring enterprise-level AI agent applications for them to meet the intelligent upgrade needs of enterprises in the wave of digitalization.
Its founder, Dev, Kye Gomez, who is only 20 years old (information from the Internet), is like a rising star in the technology industry. He once publicly challenged the technology giant OpenAI, saying that the other party had violated the team's intellectual property rights, not only stealing the project name, but also plagiarizing the code structure and methods. This statement was like throwing a boulder into a calm lake, causing a shock in the industry. Later, Gomez further explained in detail: Swarms is a multi-agent framework that has been carefully polished for nearly 3 years and has a profound foundation. So far, more than 45 million agents have been running stably in production environments, providing efficient services to the world's top financial, insurance and medical institutions, just like installing intelligent engines for the giant ships of these industries to drive them forward through the waves.
From the perspective of market performance, after the Swarms token was issued on December 18, the market conditions were like a roller coaster. On the 21st, it rushed to the peak of its market value like a rocket taking off, reaching 74.2 million US dollars, which amazed the market. Unfortunately, the good times did not last long. The market value then fell sharply, as if it had fallen to the bottom of the valley, with only about 6 million US dollars left, allowing investors to experience the gap from the clouds to the abyss. Then, it struggled forward in the waves of the market, fluctuating around 13 million US dollars all the way, like a lonely boat drifting in the vast ocean. Until the 27th, it finally ushered in a turnaround and began to counterattack strongly, from the low point of 12 million US dollars all the way to 30 million US dollars, and then pulled nearly 3 times, close to 70 million US dollars, almost breaking through the previous high, its market trend made investors' heartbeats accelerate and became the focus of everyone's attention.
Compared to the castles in the air of the AI16Z series of projects, Swarms is like a towering tree rooted in the earth, with impressive technical barriers. On its official website, it has successfully demonstrated efficient solutions for many companies, like a series of brilliant report cards, its strength is obvious to all, and it has won the trust of customers and the respect of the industry. As an open source project, it has aroused enthusiastic pursuit in the developer community. The number of stars on GitHub has exceeded 2.1K like a rocket, bringing together the wisdom and firm support of many developers, all of which fully demonstrates the maturity and innovative vitality of its technology. Taking all factors into consideration, Swarms is expected to stand out in the fierce competition of AI agents with its strong technical strength and strong market demand (especially enterprise-level rigid demand), become an industry leader, and lead the future development trend.
(Laughing) GRIFFAIN
Griffain is like an "intelligent helmsman" who can accurately navigate. It is an artificial intelligence agent engine based on Solana's cutting-edge project. It is one of the projects closest to Agentic APP, working side by side with well-known projects such as Copilot and Perplexity. It opens a new era of intelligence for users. In the vast ocean of the AI era, the ultimate form of a search engine should be like an accurate navigator. Users only need to directly put forward their needs, and it can quickly provide accurate results or one-stop solutions, rather than just giving a bunch of web links and letting users wander in the information maze. The emergence of the Griffain project has undoubtedly injected strong momentum into this ideal form and become a key force in promoting industry change.
Solana currently plays an important role in the field of AI agents and can be called the blockchain "cradle" with the most AI agents. Looking back at October, the event in which Goat, as an AI agent, raised funds from humans through pumpfun was like a meteor that streaked through the night sky, causing a sensation in the industry. From a certain unique perspective, this event has undoubtedly become an AI singularity, opening up a new path for the development of the industry. With its excellent liquidity, the entire Solana chain has injected a steady stream of funds "blood" into the AI agent project, as well as a complete AI agent developer community, like a warm "technology harbor", attracting countless developers and projects to take root. It is no exaggeration to say that Solana deserves the title of the most imaginative AI Agent culture dish in the blockchain field.
Among the many efforts made by Solana, the most critical move is to introduce Griffain, which is like inviting a wise master to the ecosystem, revitalizing the originally vibrant ecosystem and giving it new vitality. Because if you want to truly open the glorious chapter of "Agentic app szn", in addition to powerful AI technology empowerment, just like equipping a warship with powerful firepower, you can't do without a solid channel of infrastructure, just like building a stable channel for the warship. Although GriffAIn has not yet clarified the specific application scenarios of its tokens, like a painting that has not been fully colored, looking forward to the future, as the project steadily advances, it will be like a smart brush, perfectly connecting the demand side with the Solana ecosystem. By then, as long as it is within the broad scope of Solana's existing technology system, all kinds of user needs can basically be fully met, whether it is sniping certain qualified tokens in Pumpfun or creating new tokens. This grand vision has been highly recognized by Toly, just like obtaining authoritative endorsement, adding endless imagination to the bright prospects of GriffAIn, attracting investors and developers to join in, and look forward to its gorgeous bloom together.
(V) AIXBT
Aixbt is like an "intelligent analyst" with accurate insight into the market. It is a model of intelligent entities created by Virtuals based on the Base platform. It is like having a pair of wise eyes. It monitors Crypto Twitter and market trends 24 hours a day through intelligent analysis tools, like laying a dragnet in the ocean of information, accurately screening and providing users with valuable market insights, becoming a guiding beacon for investors in the fog of the cryptocurrency market. It will generously share some of the analysis content on Twitter, like a spark of wisdom, igniting the public's enthusiasm for market cognition; while the rest of the more in-depth and private information is only accessible to token holders, opening a door to wealth for them. Holders can also use their carefully crafted exclusive terminals to interact with intelligent entities in real time and obtain first-hand intelligence, just like talking directly with market masters.
Aixbt's analytical ability has stood the test in actual combat, especially in predicting price trends, showing the deep "foundation" of AI in parsing blockchain data. Many cases show that it can help traders make more informed decisions on multiple platforms and in multiple fields, just like equipping traders with a caring decision-making assistant. The author has personally explored the relevant content published by Aixbt in depth, and the intuitive feeling is that its information richness is beyond imagination, like walking into a treasure trove of knowledge, involving almost all tracks, and knowing all the data at hand, like an expert who knows every detail of the market. In addition, for the split of short-term cryptocurrencies, it can always keenly perceive potential investment opportunities and point the way for investors. There is strong support from detailed data: among the 210 recommended tokens, 183 have achieved profits after Aixbt's recommendation, with a profit ratio of up to 83%. This outstanding achievement is undoubtedly the best proof of its outstanding strength.
Of course, just like a fine jade with a small flaw, Aixbt is not perfect. When facing some complex projects or transaction scenarios, it occasionally appears "incapable of doing what it wants", such as failing to completely split complex items, and sometimes only staying at the shallow level in analysis and data mining, just like failing to touch the core secret room when exploring treasures, and failing to promptly remind investors of the risks hidden behind investment opportunities, which sometimes makes investors feel like groping in the dark. But even so, compared with some current KOLs in the cryptocurrency circle, it has already shown an overwhelming advantage, like the brightest star in the night sky, standing out.
From the perspective of the long-term development of the project, Aixbt accurately anchors the rigid needs of the subdivided field, just like finding the "acupuncture point" of the market. Users also have full motivation to hold tokens to unlock more exclusive information data and price analysis, forming a virtuous circle. Moreover, as time goes by, Aixbt is like an intelligent life that continues to grow and evolve, continuously feeding data and self-optimizing. In the future, it is expected to top the intelligent body field predicted by the market and become the only choice trusted by investors.
Based on the above in-depth analysis of the five hottest AI Agent projects in the current market, and in accordance with the three key points mentioned above, namely the long-term value of the project, the authenticity of the market demand, and the cash flow income, after careful consideration, it is believed that the ranking of these five projects from high to low in terms of market value imagination space is: SWARMS, GRIFFAIN, Virtuals, AIXBT, Ai16z. This ranking is for reference only. The market is ever-changing. Investors need to make decisions based on their own risk tolerance and investment goals, and make careful choices, so that they can move forward steadily in the wave of AI Agent investment.
3. Future development trend of AI Agent in Web3 field
In Web3, an innovative field full of infinite possibilities, AI Agent is like a shining morning star, leading many trends in future development and bringing unprecedented changes and opportunities to various fields.
Privacy and security are undoubtedly one of the most critical issues at present. As AI technology penetrates into our lives in all aspects like a surging wave, it brings us convenience while quietly causing deep concerns about privacy protection. AI is like a tireless "data collector". Every time we interact with smart devices and input every piece of personal information, it is like a keen hunter catching prey, absorbing this data as "nutrients" for its own evolution. Privacy issues and security issues are like a pair of closely connected "twin brothers". Once the system that stores and processes personal data is attacked by hackers, the consequences will be disastrous. Disasters such as information leakage, identity theft, and asset loss may occur at any time.
It is gratifying that the emergence of Web3 technology is like a solid "privacy fortress", which brings hope to solving this difficult problem. Compared with traditional methods, Web3, with its unique charm of decentralization, has carefully created a higher-level data protection mechanism for users, just like putting on an indestructible "armor" for personal data, which can perfectly balance the contradiction between the powerful development capabilities of AI and privacy protection. Today, we are delighted to see that many cutting-edge large-scale model data storages have set foot on the "new world" of blockchain and started a new journey of exploration. At the same time, the fertile "soil" of Web3, with its excellent protection of privacy, has attracted many AI developers. They focus on high-privacy demand fields such as medical care and finance, and use the magical power of blockchain technology to ensure the security and privacy of data, and escort the digital transformation of these industries.
Computing power and data are like the "wings" for AI Agent to fly high, and neither of them can be missing. Especially in the vast world of Multi-Agent collaboration, the high costs required for development, training, and operation are like towering mountains that stand in the way of progress, which daunts many companies. Training AI Agents is like a "gluttonous feast" for computing resources, which often requires the full support of hundreds or even thousands of high-performance GPUs or specialized hardware such as TPUs, and the cost of obtaining and using these precious resources is even more staggering. Take Stanford's virtual town as an example. This multi-agent research project includes 25 agents. After the town framework was open sourced, the data source cost required to test an agent in one day was as high as 20,000 US dollars. This is undoubtedly an extremely high threshold, limiting the exploration of many companies and developers.
However, Web3 has cleverly resolved this dilemma with its unique wisdom. Through a well-designed token economy and an attractive user incentive program, Web3 is like a magical "master of resource allocation", cleverly collecting and redistributing idle computing power or personal data sets, successfully opening up a "green channel" for the development of AI Agents, further reducing computing power and data costs, and allowing more individual users to enthusiastically participate in the grand construction of the AI industry. Today, some innovative data platforms have emerged, which give users the magical ability to monetize their own data, making user data like a treasure awakened after a long sleep, providing low-cost data support for AI Agents, and injecting new vitality into the development of AI.
Looking ahead, AI Agent is expected to transform into a solid new infrastructure for Web3, just like the "pillar" that lays a solid foundation for the Web3 building. It will be deeply integrated with other core elements to give birth to a new application model, and completely bid farewell to the simple AI Memecoin era. At present, AI Agent has already shown its edge in the Web3 field, helping users to easily cross the technical threshold and improve the user experience in all aspects. Even if it is only in simplifying the small process of issuing some assets, it has also shown extraordinary value, just like lighting a beacon for complex financial processes.
But we also need to be clearly aware that from a macro Web3 perspective, AI Agent, as an off-chain product, mainly plays the role of assisting smart contracts at this stage, like a "supporting role" silently playing behind the stage. Therefore, we do not need to over brag about its current capabilities and should remain rational and objective. Looking back on the second half of this year, apart from the short-lived craze caused by MeMe, the market lacked a significant wealth effect narrative. The popularity of AI Agents revolved around MeMe to a certain extent. Although this is a normal phenomenon, MeMe alone has a "thin wing". Obviously it cannot support its long-term flight. Therefore, if AI Agent hopes to shine in the future, it must bring more groundbreaking innovative gameplay in key areas such as transaction processes, and provide practical and practical value on the ground. Only in this way can it truly grow into a widely used AI agent. The infra tool contributes core strength to the prosperity and development of Web3 and opens a new era of intelligence.
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