Reproducing DeFi Summer? Beta Cycle Dividend Amidst the AI Agent Frenzy

Written by: Web3 Farmer Frank

Is the AI Agent currently in the "2020-2021" boom cycle of DeFi Summer?

"Carving a boat to seek a sword" is often the most worry-free way to predict—just from a data perspective, the total value locked (TVL) in DeFi grew from $600 million in January 2020 to $26 billion in December 2020, increasing more than 40 times in just one year. The current market value of the AI sector is $44 billion, which means that if it can truly replicate the boom cycle of DeFi, its potential market value could exceed $1 trillion.

So the question arises, Is the AI Agent really experiencing a boom cycle similar to DeFi Summer's "2020-2021"? Besides AI Memecoins, what other projects will drive the growth of this sector?

The Booming Cycle of AI Agents

According to statistics from Cookie.fun, as of January 1, 2025, the overall market value of the AI Agent sector has surpassed $16.6 billion, with a staggering increase of 53.79% in the past 7 days. Against the backdrop of a turbulent cryptocurrency market, platforms like Virtual, AI16Z, and Arc are expanding the AI Agent ecosystem at an unprecedented pace.

Especially driven by meme culture, AI Agent projects have quickly become new centers of traffic and attention due to their low barriers to entry for token issuance and trading processes. Most of them have significantly lowered the participation threshold for ordinary users by using humorous expressions, highly interactive community cultures, and user-friendly communication strategies, successfully attracting a large number of non-professional users.

In simple terms, this is actually a cultural rebellion against "VC coins," and a continuation of the meme narrative. However, by combining AI Agents, it not only lowers the participation threshold and expands the potential market size but also injects more inclusivity and sustainability into the AI × Crypto narrative.

Including the recently impressive performer "TAO CAT," which is a product of the Masa team's collision of the Virtuals and Bittensor ecosystems, it creatively showcases the superiority of AI Agents over traditional AI Bots in self-evolution, with a core narrative still focused on fair issuance and community-driven economics.

Interestingly, during the writing process, TAOCAT was selected for the latest round of Binance Alpha projects, leading to a significant price increase, and MASA also experienced a follow-up surge.

This easily evokes the prosperous scene of DeFi Summer: From the initial foundational applications of Compound and Uniswap to the later massive influx of users and more complex on-chain trading strategies, the intertwining resonance of technological narratives and capital drives ultimately formed a cyclical prosperity. Therefore, at least currently, the popularity and market value growth of AI Agents based on AI Memecoins indeed bring a new round of narratives and imaginative space to the cryptocurrency industry.

However, how far this boom cycle can go is still uncertain; AI Memecoins are just the beginning, and the future depends more on whether AI Agents can become a long-term cornerstone of the cryptocurrency industry, rather than just a short-term trend.

For example, in the current landscape of AI Agents, the total market value of the top 5 exceeds $7 billion, accounting for nearly 45%. The market values of the Virtual ecosystem and AI16Z ecosystem have reached $4.65 billion and $2.37 billion, respectively, indeed becoming benchmark cases in the entire cryptocurrency field.

But essentially, the current prosperity of the "AI Agent" sector is still primarily dominated by AI Memecoins or issuance platforms, remaining in the early stages of the "equitable" economic narrative of fair asset issuance, needing further deepening of its outreach. Looking back at the last cryptocurrency cycle, we find that while DeFi drove a massive influx of funds into the blockchain field, the user threshold for DeFi remained relatively high, requiring financial knowledge and operational skills, which to some extent limited its large-scale popularity.

The emergence of AI Agents opens up a new narrative in the cryptocurrency field with a lower threshold and higher potential—unlike DeFi, which requires users to actively learn complex financial tools, AI Agents can directly provide personalized and intelligent services to users, lowering the participation threshold.

This is where some interesting variables come into play, namely satisfying the needs of more ordinary users through intelligent solutions, making AI Agents not just a technical product but a brand new "equitable" economic narrative.

As the founder of Slow Mist, Yu Xian, tweeted: "Another special sense of disconnection: the ultimate (perhaps) most important role of AI Agents in the Crypto industry is to issue a token to stimulate incentives. In the non-Crypto industry, major players have long been far ahead, including some interoperability protocols defined, creating increasingly user-friendly AI applications, while most attention in the Crypto industry is still on tokens."

Therefore, AI Agents have indeed entered a boom cycle through AI Memecoins, gaining high recognition and funding attention from the market, marking their formal entry into a golden age: subsequently, from meme-driven traffic centers to diversified application scenarios, from infrastructure improvement to long-term value excavation, AI Agents are expected to reshape the landscape of the cryptocurrency industry, becoming the most innovative and influential field in the cryptocurrency sector.

The "Alpha" and "Beta" of AI Agents

If we trace back to the roots, we find that although the current AI Agents are merely capturing the value of token issuance and imagination, their real landing is closely related to on-chain trading attributes.

After all, the actual utility of AI Agents goes far beyond just issuing tokens—early on, in the task-driven AgentGPT processing flow, AI Agents have already demonstrated their potential in aspects like on-chain trading strategies:

Users can customize overall goal tasks, and then the AI Agent allocates tasks based on its own resources, breaking down the overall goal task into smaller tasks through the flow and allocation of proxy layer tasks, continuously executing and correcting according to the goals without human assistance, ultimately achieving the overall goal.

In simple terms, it is a "intention-centered" core vision; users only need to know what they want as a result (intention) and do not need to care about the intermediate processes and steps. In many cases, users' intentions are complex, and their expression may not be accurate. However, an AI trained on specific models can more accurately identify user intentions and infer their potential purposes and needs based on keywords and other information.

In this process, combined with highly intelligent AI, whether it is natural language input of intentions, judging needs, breaking down goals, calculating optimal process combinations, or executing operations, AI can play a huge advantage. Currently, a large number of intelligent trading projects involving complex cross-chain transactions have emerged in the market, efficiently discovering optimal exchange paths, allowing users to complete optimal trades at the best prices in real-time.

This is the truly imaginative development direction of AI Agents—the real value lies in becoming the interactive application layer of Web3, where users do not need to understand complex systems but can complete all on-chain operations simply by conversing with AI Agents, thus potentially becoming the underlying infrastructure of Web3, deeply integrated with blockchain, smart contracts, etc., giving rise to new application forms and business models, and bringing broader imaginative space to Web3.

Therefore, from a macro perspective, the rapidly developing AI × Crypto narrative is completing self-iteration at an astonishing speed—from the initial AI Meme craze to the gradual shift towards practical and interactive AI Agents, the entire market's attention is refocusing, which also means a narrative logic transformation from random token speculation to actual technological landing.

AI Agents are no longer just a hype; they have truly integrated into industrial logic through value capture mechanisms, such as AI-driven KOLs, yield-generating tools, trading, and Alpha strategy optimization, as well as building underlying infrastructure. AI technology is gradually shifting from entertainment narratives to tools for solving real problems.

Its value goes far beyond the currently popular AI Memecoins; it is truly driving the evolution and popularization of Web3 through technological innovation and ecological integration. From this perspective, AI Agents are not just tools; they may reshape the ecological rules of the cryptocurrency market, making AI Agents easier for mainstream users to accept and adopt.

In Any "Long Slope Thick Snow" Sector, Infrastructure Never Lacks

In the cryptocurrency industry, Alpha is the point, and Beta is the surface. Alpha is usually difficult to capture, but Beta projects with high certainty are relatively easier to ambush.

The same goes for the AI Agent field; although Alpha opportunities like AI Memecoins are hard to grasp, infrastructure (Infra) as the core of Beta is almost a clear value capture opportunity, with extremely clear narrative transmission paths. Although the explosion of AI Memecoins has stirred up a frenzy of funds and market attention, the ultimate project landscape that can emerge is far from certain, while Infra, as the "water seller," can almost sit steadily on the fishing platform by leveraging its early ecological advantages.

As mentioned above, from the perspective of AI's role in the blockchain ecosystem, it is upgrading from a mere tool to a productive force driving industry transformation. This can not only serve existing cryptocurrency users but may also attract traditional financial users into the on-chain ecosystem by lowering barriers, building a more inclusive and sustainable economic logic:

From elite finance serving a few to inclusive finance serving the majority; from the unsustainability of short-term speculation to the sustainability of long-term growth.

This represents that AI Agent Infra is expected to become a key entry point for intelligent on-chain applications, and it also means that projects in the same sector that have not been fully priced by the market may hide new value re-evaluation spaces, one important direction being data.

As we all know, one significant challenge faced by AI Agents is how to efficiently mine and utilize high-quality data. This not only determines the learning ability and decision-making level of AI Agents but also directly affects the effectiveness of their actual applications and user experiences.

Especially for the blockchain ecosystem, Twitter data, Discord data, web scraping data, etc., may hide billions of signals, containing many use cases that can be derived and realized, which can be personalized for mining and utilization—such as tracking whale dynamics, analyzing "Smart Money" transactions, monitoring on-chain address interactions, filtering layered differentiated on-chain users, and accurately reaching different player groups, etc.

Thus, data infrastructure is not only the support for AI Agent development but also the core of its value creation and market promotion. Interestingly, as the current leader in the AI data sector, Masa's recently built SN42 data service subnet and SN59 AI Agent arena on Bittensor are quite noteworthy.

The AI Agent arena is a significant step for Masa as data infra towards the AI Agent platform, making the data network no longer abstract but capable of empowering AI Agents in real-time, allowing them to evolve in real-time, iterating on Bittensor's powerful reward mechanism, enabling AI Agents to compete in the arena. The arena has attracted top AI Agents from the Virtuals and creator.bid ecosystems within just a few weeks of its launch, including TAO CAT, which was incubated by Masa.

Therefore, essentially, Masa is centered around "infrastructure (data) + application scenarios (arena) + token economy (AI Agent)," attracting more users and developers to operate the platform, continuously expanding AI Agent business scenarios and stimulating platform activity.

From a broader logic perspective, the narrative path of AI Agent Infra projects like Masa is very clear—focusing on the "adaptability" issues of AI agents on-chain, solving the efficiency, stability, and intelligence needs of on-chain operations. If this sector continues to ferment, it is not only expected to build the infrastructure for the on-chain AI ecosystem but may also drive a comprehensive upgrade of the developer ecosystem and user experience.

According to market rotation rules, the success of Virtual will also drive investors to focus on functionally complementary, technologically innovative, or undervalued projects in the same sector, especially those with strong ecological building capabilities and clear narrative directions. Therefore, projects like Masa undoubtedly form a natural complementary logic with the token issuance function of Virtual.

And the improvement of infrastructure and the maturity of technology allow AI Agents to transition from the uncertain Alpha stage to the profitable and scalable Beta stage. Therefore, from this perspective, Infra projects like Masa are indispensable drivers in this process.

The aforementioned TAOCAT being selected for the latest round of Binance Alpha projects also adds real-world evidence to my analysis, further reinforcing the idea that as market attention gradually shifts towards the AI Agent sector, infrastructure projects (like MASA) may encounter unexpected value growth opportunities.

In summary, this round of enthusiasm for AI Agent Infra is just the beginning; the market's demand for intelligent on-chain infrastructure is rapidly expanding. The performances of Virtual and Masa provide us with a good reference, and more projects that are clearly positioned, functionally complementary, and whose valuations have not been fully explored may gradually be discovered by the market, with opportunities for value re-evaluation often hidden in the dark lines of niche fields.

Conclusion

AI Agents are not the endpoint but the starting point: in the future cryptocurrency market, AI Agents will not only be a part of the ecosystem but will also become an important driving force for advancing the entire ecosystem.

Infrastructure is the foundation of the ecosystem; any major trend is supported by it. Whether it is pioneers like Virtual or potential players like Masa, their commonality lies in embedding their value into the core of the entire ecosystem through technology and logic, and the market's recognition of this value is merely a matter of time.