Investment Logic and Imagination Space of AI Agents

Talking about blockchain
2025-01-03 16:43:25
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For the vast number of followers, if time, energy, and funds are limited, I suggest finding an AI agency track to start gaining attention in a blockchain ecosystem that you are familiar with, and focus on the development of AI agencies within it.

From the comments at the end of recent articles, many readers still lack the underlying logical support to understand the development journey of "AI Agents + Crypto," which leaves them feeling confused and helpless amidst the blooming projects and emerging trends.

This ecosystem has rapidly evolved from being obscure a few months ago to thriving today, and while I can't claim to have a deep understanding, I would like to share some of my observations and thoughts during this period.

In my view, the fundamental reason why this round of "AI Agents + Crypto" has developed to its current scale is that the development of AI agents has shown us the potential for real applications and service value in this track.

The early success of GOAT achieved a crucial first step by successfully proving that:

AI agents can be combined with crypto assets.

This was a groundbreaking breakthrough.

However, at that time, I viewed this breakthrough as merely limiting the development of this track to the meme coin stage.

Later, after reading an interview with the co-founder of Virtuals, my understanding of this track began to change. I started to sense that this track might break through the meme coin phase and rise to real value applications and business scenarios.

Why?

Because from the co-founder's thoughts and practical path, his vision was certainly not to create a bunch of meme coins with only emotional value, but rather to generate real services and value.

In that interview, the co-founder mentioned their first AI agent, LUNA. At that time, I wasn't particularly interested in this doll-faced AI agent, perhaps because I don't use TikTok or haven't followed LUNA's Twitter closely. In any case, LUNA's Japanese manga-style appearance still led me to believe it was likely just another meme coin.

What truly made me feel that AI agents were beginning to provide actual value was AIXBT. I found very valuable investment information from its continuous Twitter updates—this was definitely no longer just a track for creating meme coins.

Subsequently, after AI16Z, ELIZA, and others began to launch a series of development frameworks for agents, the general idea of this track became clear.

Essentially, the core of this track is that AI agents can provide services and generate actual value for both humans and the AI agents themselves.

I have already listed cases where AI agents provide service value to humans. As for the service value provided by AI agents to other AI agents, I believe there is a landmark event:

Agent LUNA requested Agent MUSIC to create a video for her, MUSIC confirmed her request and actually produced a video, which was then delivered to LUNA.

The confirmation information between the two agents was completely open and transparent.

Once we understand the core essence, we can then consider:

  • What fields will this application scenario cover around this core?

  • What roles will the technologies in these fields play?

  • In this process, where might value be generated?

  • How can this value benefit the participants?

Let's first look at the first question: What fields will this application scenario cover?

Based on my current understanding, this scenario will broadly encompass all online applications, specifically including both traditional internet applications and the crypto ecosystem.

Where does AIXBT generate value? On Twitter—this is a traditional internet application.

Where does LUNA generate value? On TikTok and Twitter—still traditional internet applications.

In addition to these two typical examples, there is also a recently popular AI agent called Vader. It is also an AI agent within the Virtuals ecosystem, but it focuses on investing in crypto assets. Therefore, I view its value-generating scenario as part of the crypto ecosystem.

There are many such cases currently thriving, and I cannot list them all. I believe that in the future, we will see new applications in traditional internet and crypto ecosystems that we cannot currently imagine.

Thus, in terms of usage scenarios and coverage, theoretically, the scope of this track should be larger than that of past DeFi and NFT.

Now let's look at the second question: What roles will the technologies in these fields play?

From the current application cases, traditional internet technology (centralized technology) is clearly the "intellectual" factor or internal driving force supporting the development of AI agents. The core of AI agents is AI, which is classic centralized technology.

Blockchain technology serves as the limbs and tools for the development and extension of AI agents.

What do we mean by limbs and tools?

It means that without encryption technology, AI agents cannot smoothly and freely flow into various fields.

The source of development for AI agents requires funding—this can only be crypto assets, and definitely not fiat currency from a bank account. Virtuals is a typical example.

The medium of exchange used during the interaction process of AI agents can only be crypto assets, and similarly cannot be fiat currency from a bank account. We certainly can't expect two AI agents to make payments while each first goes to open a bank account, right?

Once AI agents generate value, if they are to feed back and empower relevant participants, it can only be through crypto assets. They can distribute profits to token holders through the mature Staking model in DeFi—many AI agents are already doing this.

Applying for a wallet -> Earning crypto assets -> Using crypto assets for on-chain transfers and payments, the entire process of financial activities for AI agents has already been smoothly realized in the crypto ecosystem.

Financing -> Benefiting -> Investors receiving returns, this complete financial monetization process for AI agents has completely moved away from Wall Street and has been seamlessly and densely realized in the crypto ecosystem.

In this track, I believe the core technology is still traditional internet technology, and encryption technology only needs to provide a complete basic pathway, or more specifically, it only needs to implement the technologies involved in the two chains mentioned above.

Therefore, in the short term or based on the current situation, I believe that any blockchain that can meet the above requirements has equal advantages in this track, and Ethereum's decentralized advantage does not have a clear edge here.

Of course, this does not mean that decentralization is unimportant; rather, I believe that in this specific scenario and current situation, its importance is not obvious.

The development of this track in any ecosystem depends entirely on the speed, scale, and application of AI agent construction in that ecosystem.

In fact, more and more blockchain ecosystems are noticing this phenomenon and are beginning to vigorously support the development of AI agents.

Therefore, for the many followers, if time, energy, and funds are limited, I suggest finding a blockchain ecosystem that focuses on an AI agent track that you are familiar with and concentrating on the development of AI agents within it.

Now let's look at the third question: In this process, where might value be generated?

I believe that the direct value generated by the development of this ecosystem is at the user end—specifically for the users directly using AI agents (including both humans and AI agents).

But beyond that, it will also drive all the broader and more noteworthy technological fields: for example, the DeFi infrastructure, on-chain payment facilities, TEE execution environments, decentralized storage, decentralized data, etc., that we mentioned earlier.

Everyone can unleash their imagination and closely follow the development of the ecosystem.

Finally, let's look at the last question: How can this value benefit the participants?

Based on the current situation, I have already mentioned that many AI agents are feeding back profits to investors through Staking in DeFi.

Additionally, whenever we discover a new application, especially a cross-application, we should learn to trace back and see what encryption technologies this application uses and which crypto projects it involves. We should dig into whether those encryption technologies and projects have tokens that have been quietly unnoticed before.

These are some of my personal insights.

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