How to make money from Agent economy in 2025?

How to make fucking $$ in the Agentic Economy 2025

Original author: Foxi_xyz, تشفير KOL

الترجمة الأصلية: zhouzhou, BlockBeats

Editors note: This article explores the future development of the agent economy, especially the evolution of AI agents. From simple chatbots in Phase 1, to the combination of privacy and DeFi in Phase 2, to collaboration between agents in Phase 3, the key role of infrastructure, frameworks, and technologies is emphasized. Although the current market is flooded with simple social media agents, the real opportunity lies in technologies and platforms that support autonomous economic activities.

فيما يلي المحتوى الأصلي (لتسهيل القراءة والفهم، تمت إعادة تنظيم المحتوى الأصلي):

“Agents aren’t just coming to steal your Twitter feed — they’re reshaping the entire digital economy.”

In this article, we will dive into how to discover the next AI Agent Alpha by fully understanding the methodology behind it. Remember, once everyone sees it, it is no longer Alpha. The key is to stay two steps ahead by applying this methodology and you will succeed.

The Golden Rule: Consensus

I will dump your coins, and you will dump others. We are all here to make money, so you should never really marry your investment package. Your task is to find the right time to dump it. In order to dump these bad coins to others, you need to find a project with consensus. This means you have a good chance of finding your exit liquidity.

How to make money?

Predict an emerging trend with strong conviction (consensus).

Invest in potential stocks and ensure they have sufficient legitimacy and innovation.

When consensus is reached, sell your bags to others.

The following articles will focus on the hardest part: prediction.

If you don’t have anything in your head or personal belief in the trend, then you simply can’t invest in potential stocks yourself. Either you rely entirely on luck, or you wait for someone to call you and wait for the KOLs to dump you again. Let’s get started.

1. Three waves of agent evolution

While 2024 was تحديned by AI breakthroughs like OpenAI’s o1 and multi-billion dollar valuations, 2025 will be the year of the financialization of AI. But in this rapidly evolving environment, the key to discovering true value is to look beyond the “AI Agent” hype and understand the fundamental changes taking place.

Understanding where we are in the adoption cycle is critical to identifying opportunities. The agent economy is unfolding in three distinct phases:

First wave: Human to agent (current)

We are at this stage now – imagine the simple chatbot interactions you see in X (aixbt agent), these agents mainly act as research assistants and execution layers for human intent. While valuable, they do not require revolutionary infrastructure changes. Right now, most agents look like tailor-made ChatGPTs that help you conduct simple research. These agents do not have a high degree of autonomy. They cannot independently manage resources, take risks, or pay for other services.

Second wave: agent to human (emerging)

This is where things get really interesting, as AI agents start to independently handle everyday tasks — like executing trading strategies, optimizing home energy usage, or negotiating and paying bills — without you having to constantly step in. While tools like Stripe’s Agent SDK can cover some of these scenarios, they also herald a larger shift: Instead of paying a fixed monthly or annual fee, you’ll see a more granular, on-demand billing approach.

As agents take on more responsibilities, they need to cover computational power, API fees for each query, model inference costs, etc. – anytime, anywhere. These small-scale, on-demand transactions quickly expose the limitations of existing payment systems, which are not designed to support real-time micropayments. This is where cryptocurrency can come into play, providing faster settlement, lower fees, and more flexibility to cope with these new demands better than traditional systems.

Some on-chain examples might include:

Automated Trading System

Revenue Optimization

Portfolio Rebalancing

Wave 3: Agent to Agent/Collaboration (Future)

This is where the biggest opportunity lies. We’ve seen some early experiments with projects like Terminal of Truth and Zerebro exploring agent-to-agent business models, but the real potential goes far beyond social media tokens:

Resource سوق: Compute agents negotiate with storage agents to achieve optimal data location

Service optimization: database agent and computing agent negotiate query optimization service

Financial services: Risk assessment agents and protection agents conduct insurance transactions

This stage requires an infrastructure designed for machine-to-machine interaction. Traditional monetary systems, which focus on human verification and control, are not up to the task in an economy dominated by autonomous entities. In contrast, stablecoins provide a critical framework whose programmability, cross-border capabilities, fast transaction settlement, and facilitation of micropayments make them better able to cope with these new demands than traditional systems.

2. Analyzing the Web3 AI Stack

Delphi Digital has made a pretty clear classification of the decentralized AI stack, there are 6 key areas (which I think have high potential), and under each area there are some sub-industries. You can call them narratives or innovation areas. I can guarantee that each sub-industry will have a leader that will reach a market value of at least 500 million in the next few months.

6 key areas and famous examples:

Application aixbt agent

Agent enables/coordinates virtuals

PrivacyPhalaNetwork

AI training/inference ritualnet

Calculate ionet

DataArweave

There are many sub-sectors within each focus area, so I will not cover them all here. However, I expect there will be a sequence of money flowing in. This sequence will be highly dependent on the maturity and stage of development of the market, here is a visual I made:

المرحلة 1:

We see a lot of agents released every day, and most of them are wrappers around chatbots/ChatGPTs with very limited actual use, but they are fun memes. As we know, whether a product is useful or not has absolutely nothing to do with its valuation, so many interesting agents with a lot of imagination will be hyped.

Agent Enablers become the first level of infrastructure for agents during this phase. For example, as agents generate revenue through audience interaction, these funds are used to buy back and burn tokens in the liquidity pool paired with $Virtual. This creates a direct correlation between agent success and platform value, aligning incentives within the ecosystem.

المرحلة الثانية:

If a narrative is nothing more than a chatbot on Twitter spamming, it’s no longer compelling, so we’re starting to see people infuse the concept of “privacy” into it (e.g. aipool tee and sporedotfun).

The good news is that most people don’t understand technical terms like TEE, FHE, ZKP. This makes agent applications look very innovative, even though these agents may not actually implement TEE. However, all of this is to enhance the value of agent applications and give it more utility. Agents will soon enter the DeFi/wallet field.

We will see agents that can perform token swaps, cross-chain bridging, optimize transaction routing, and minimize transaction fees for you, and these agents will be integrated into the wallet interface.

The key is that these agents now need to compete on “technology” rather than “culture”, which is different from Phase 1. Therefore, you will see tokens like $BUZZ or $ACOLYT being hyped because there is a legitimate AI team or developer support behind them (although they may still be far from the AI experts of Web2).

You will soon see that the AIagent wealth effect will attract a large number of top Web2 AI developers to enter the Web3 field to make money, which will lead to many powerful AI projects. If I were you, I would probably check LinkedIn more often than Dexscreener.

Phase 3:

These agents will eventually mature and derive core value from AI reasoning, data, and distributed computing.

We will have TEE-based infrastructure for secure key management, a dedicated Data Availability (DA) layer to store and retrieve context for Large Language Models (LLMs), on-chain Oracles to provide trusted data streams, a zkVM framework for verifiable execution, and chain abstraction solutions.

This also means that we will have access to large-scale, trustless computing resources while ensuring that interactions, data flows, and outputs remain verifiable and secure. At this point, advanced infrastructure like ritualnet, ionet, and StoryProtocol will move from being purely speculative to being a true necessity to drive the next generation of AI innovation.

Part 3: So what should I invest in now?

Let’s go back to the overview we saw earlier:

I think we are now transitioning from phase 1 to phase 2, and I would be more interested if the agent can actively provide us with real value, rather than just posting tweets or analyzing the price charts of tokens (which I can do with GPT). By the definition of active, I assume that the agent can manage resources for me and make decisions autonomously. They can complete transaction settlement independently.

Some of the more complex applications that I would personally invest in include:

Automated Trading System

Portfolio Rebalancing

Virtual Reality

AI-based smart contracts (prediction market arbitration)

The above directions may still be too broad for most people, including myself. Based on our golden rule of consensus, I have observed that most of the consensus is concentrated in the following directions:

1. shawmakesmagic

He is the ultimate AI cult leader in this AI super cycle, just like MustStopMurad was in the memecoin super cycle. Dont ignore any project that ai16z and shaw/core ai16z members follow. The projects he follows and promotes are buying opportunities.

Note: “ai16z partners”, they are not always core members, I can also call myself a partner.

2. Solana Hackathon Winners

This chain is promoting some projects to help you screen potential projects. You need to be at the forefront of the market and choose some high-quality projects. I have done this for you, you can check my posts. I am not an insider, so I can only judge these projects based on personal experience. You should also do some research on your own.

However, to actually profit from this narrative, you need tools to help you, otherwise you will not be able to enter the market at the best time.

For example: AgentiPy was originally on my list of high-quality projects with a token. Once it launched the token, it skyrocketed to 40M, and I personally failed to keep up. You need a tool to monitor the projects Twitter and enter when the CA (contract address) is detected. More tutorials will be released soon.

3. AI Framework

Do you know why there are now over 500 framework layers and all decentralized applications (dapps) have turned into appchains? It’s just because of “higher valuations”. Infrastructure essentially gives you room for higher valuations. However, not every framework is the same.

You either go to the market leaders, or study the tech and GitHub and find a good tech infrastructure. If you cant figure that out, your best bet is still to find a good entry in $ai16z or $virtual. Dont put your SOL/ETH into random AI scam projects.

4. DeFi x AI

As mentioned above, I am bullish on the upcoming DEFAI (DeFi meets AI) narrative. This fits in with my assumptions about Phase 2 (agents vs. humans). A good starting point is to learn through the following DeFi x AI projects and their niches:

Ultimately, understanding these dynamics is critical to identifying real opportunities in the agent economy.

While the current market may seem dominated by simple social media agents, the real value lies in the infrastructure and frameworks that will power the next generation of autonomous economic activity, and I will continue to hold my $ai16z and $Virtual tokens for now.

الرابط الأصلي

This article is sourced from the internet: How to make money from Agent economy in 2025?

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