Space Review | The Rise of "Intelligent Agent Economy" Driven by AI Agents and Bank of AI's Financial Infrastructure Layout

A comprehensive look at the business opportunities of Web4 intelligent agent economy, with an in-depth breakdown of the underlying financial infrastructure.

As the OpenClaw-triggered “Lobster Storm” sweeps through communities, AI Agents are making a crucial leap from “chat tools” to “digital workforce.” With various applications ramping up their deployment, AI Agents have established themselves as the core of the next-generation infrastructure. They not only fundamentally disrupt the human-computer interaction paradigm but also drive industries from Web3 toward Web4, reshaping the entire on-chain world’s production relationships and value flows.

In this Web4 evolution, Bank of AI consistently stands at the intersection of technology and users. As an on-chain financial operating system designed specifically for AI Agents, Bank of AI aims to pave the “last mile” of the intelligent agent economy. Through simplified underlying infrastructure, it enables developers to build vertical AI Agents with minimal barriers.

This Space roundtable gathers industry practitioners and seasoned observers on the front lines to directly address the most critical commercial monetization topics under the wave of intelligent agents. When AI Agents can fully automate on-chain operations, where will the upcoming burst of new business dividends flow? In this deep dialogue focused on “human-machine collaboration and value reconfiguration,” we will thoroughly analyze this core issue, providing builders and explorers in the Web4 wave with clear participation paths and action guidelines.

** Behind the “Shrimp Farming” Buzz: The Rise of the “Intelligent Agent Economy” Driven by AI Agents**

Recently, with the explosive popularity of OpenClaw, the “全民养虾潮” (National Shrimp Farming Trend) quickly flooded the internet. This hardcore upgrade of AI Agents precisely fills the most critical piece of the Web4 architecture—“active execution”—marking the full arrival of the intelligent agent economy era. In this roundtable discussion, several senior guests from different perspectives deeply analyze the industry’s inevitable trend behind this development.

Crypto.0824 first revealed the core logic of this evolution: AI is shifting from an information processing tool to a task execution entity. “Before, we used AI to help write and analyze, solving pre-processing of information. But AI Agents are different—they can directly help us execute tasks.” He believes that on-chain interactions, asset management, reward claiming, and strategy execution—standardized, programmable operations—are naturally suited for AI Agents to handle. He vividly describes this shift: “It’s like moving from manual driving to assisted driving; users just set their goals, and AI takes care of the rest.”

Following the technological evolution, YOMIRGO analyzed from a macro perspective of internet iteration. He emphasizes that Web2 built the information network, Web3 reshaped the value network, and now Web4 is nurturing highly autonomous “agent networks.” For a long time in the Web3 era, AI could not independently control funds and resources. The introduction of AI Agents breaks this limitation, granting AI the authority to manage and allocate funds for the first time, fundamentally addressing the lack of proactive execution in smart contracts.

He further proactively suggests that AI Agents themselves have the potential to become “investable assets.” For example, AI Agents could autonomously operate social media accounts, monetize their followers, and ultimately distribute profits to their owners through tokenomics. Regarding this disruptive ecological restructuring, OxPink highly praises it as a “moment similar to the birth of the iPhone,” believing that the deep integration of AI Agents with underlying value networks is a historic turning point that propels the industry from Web3 to Web4.

Finally, Grace adds a pragmatic perspective on user experience and industry scaling. She analyzes: “Web3 is essentially a highly programmable economic system, but currently, most operations still rely heavily on manual intervention, which is a major bottleneck hindering ecosystem growth.” She emphasizes that the emergence of AI Agents fills this systemic gap, rapidly rising as the core intermediary layer connecting users with the on-chain world. Under the new Web4 architecture, users only need to “express their intent,” and Agents will automatically handle and execute complex on-chain logic. This not only greatly enhances user experience but also represents a key breakthrough for mass adoption of the intelligent agent economy.

When AI Agents Move Toward Automated Execution: Rebuilding On-Chain Business Paradigms and Opportunities

As AI Agents evolve from “information analysis” to “automatic execution,” the operational logic of the on-chain world is being rewritten. In this transformation, Bank of AI, as a dedicated on-chain financial infrastructure for AI Agents, is paving the last mile for the intelligent agent economy. In this second roundtable discussion, guests explore in depth “where new business opportunities will emerge when AI Agents can automatically perform on-chain operations.”

Mr. Misi pointed out that while AI Agents automate previously human-dependent repetitive tasks, their true business breakthrough lies in the moment they “connect on-chain and execute transactions.” He predicts that as application scenarios diversify, a wave of specialized AI Agent development teams will emerge, each targeting specific verticals with huge market potential. Additionally, he envisions a “marketplace” for AI Agents—an app store-like platform—where users can pay for ready-made strategies without building from scratch.

Following the “application marketplace” concept, YOMIRGO further defines the future AI Agent market as an “ecological business hub.” He notes that this hub will not only facilitate supply-demand matching but also accumulate AI Agent capability rankings and credit scoring systems based on historical execution data. More disruptively, AI Agents will evolve into investable assets: “Through tokenization, users can hire AI Agents per task or buy shares to share profits.” He also warns that the high-frequency interaction characteristic of AI Agents will significantly increase demand for underlying infrastructure, making high-performance blockchains like TRON and Solana prime beneficiaries of this ecosystem dividend.

From developing vertical AI Agents to building AI Agent marketplaces, from on-demand strategy invocation to hiring AI Agents for tasks, a new business landscape driven by intelligent agents is gradually taking shape in the roundtable discussions. However, the real implementation of these opportunities depends on a foundational financial infrastructure that allows AI Agents to “live” independently on the chain. Bank of AI is born for this purpose.

As a dedicated on-chain financial operating system for AI Agents, Bank of AI integrates five core components: x402 payment protocol, 8004 identity protocol, MCP Server, Skills, and OpenClaw extension plugins, providing comprehensive support for the above business scenarios.

First, addressing the “on-demand hiring and profit sharing” scenario mentioned earlier, x402 payment protocol enables lightweight, low-cost on-chain payments for AI Agents, supporting high-frequency micro-payments and automated settlements. This means that when a user hires a trading AI Agent, it can independently pay Gas fees and handle revenue sharing. Second, in response to the “credit scoring system,” 8004 identity protocol issues verifiable digital identities to each AI Agent. Under this system, users can confidently select AI Agents based on their success history, and AI Agents can participate as credible entities in DeFi protocols—establishing a trust foundation for the trading marketplace.

To lower development barriers, MCP Server acts as a standardized bridge between large AI models and blockchain services, enabling developers to connect without writing complex on-chain code. Through standard interfaces, AI Agents can invoke smart contracts and access on-chain data. Meanwhile, Skills preloads reusable skill packages such as DeFi operations and asset management, and OpenClaw extension plugins enable plug-and-play functionality, ensuring any AI Agent integrated within this framework can instantly activate comprehensive on-chain financial capabilities.

This system’s disruptive significance lies in greatly unleashing productivity. When developers conceive a vertical AI Agent, they are freed from burdensome underlying architecture such as payment logic, identity verification, and Gas management. With simple standard configurations, an AI Agent can have its own on-chain wallet, verifiable identity, and autonomous asset management and interaction capabilities. In essence, Bank of AI is simplifying complexity, transforming the “develop vertical Agents, build Agent markets, and hire Agents for collaboration” business blueprint from concept to reality.