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

As OpenClaw ignites the “Lobster Storm” sweeping through the community, AI Agents are making a crucial leap from “chat tools” to “digital workforce.” With various applications ramping up their deployment, AI Agents have established their position as the core infrastructure of the new generation. They not only fundamentally disrupt the human-computer interaction paradigm but also drive the industry 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 bridge the “last mile” of the intelligent agent economy. Through simplified underlying infrastructure, it enables developers to build vertical domain AI Agents with minimal barriers.

This Space roundtable brings together active industry practitioners and seasoned observers 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 emerging business dividends flow? In this in-depth dialogue focused on “human-machine collaboration and value reconfiguration,” we will deeply analyze this core issue and outline clear participation paths and action guides for builders and explorers riding the Web4 wave.

Behind the Viral “Shrimp Farming”: 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”—officially announcing the full arrival of the intelligent agent economy era. In this roundtable discussion, several senior guests from different perspectives deeply dissect the industry’s inevitable trend behind this development.

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

Following the technological progression, YOMIRGO analyzed the macro perspective of internet iteration. He emphasized that Web2 built the information network, Web3 reshaped the value network, and now Web4 is nurturing highly autonomous “intelligent 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 historical 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 holders through tokenomics. Regarding this disruptive ecological restructuring, OxPink highly praises it as a “moment akin to the birth of the iPhone,” believing that the deep integration of AI Agents with underlying value networks is a historic turning point that triggers the industry’s shift 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 and is 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 the Agent will automatically take over and execute complex logic on-chain. This not only greatly enhances user experience but also represents a key breakthrough toward mass adoption of the intelligent agent economy.

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

As AI Agents transition 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 the second round of discussions at this Bank of AI roundtable, guests explored in depth: “When AI Agents can automatically perform on-chain operations, where will new business opportunities emerge?”

Mr. Misu pointed out that while AI Agents automate previously human-dependent repetitive tasks, their true commercial explosion lies in the moment they “connect on-chain and execute trades.” He predicts that as application scenarios diversify, a wave of specialized AI Agent development teams focusing on vertical sectors will emerge, with each niche holding huge market potential. Additionally, he envisions a marketplace similar to an “app store” for AI Agents, where users can pay on demand without building from scratch, easily invoking mature strategies.

Following this “application marketplace” logic, YOMIRGO further defines the future AI Agent market as an “economic hub” of the ecosystem. He notes that this hub will not only facilitate matching supply and demand 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 for services or buy shares to share profits.” He also warns that the high-frequency interactions characteristic of AI Agents will significantly increase demand for underlying infrastructure, with high-performance public chains like TRON and Solana likely to be the main 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 this roundtable discussion. 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 created precisely 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 verification 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, the x402 payment protocol grants AI Agents lightweight, low-cost on-chain payment capabilities, 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” proposed by guests, the 8004 on-chain identity protocol issues verifiable digital identities to each AI Agent. Under this system, users can confidently select AI Agents based on their historical success rates, and AI Agents can participate in DeFi protocols as credible independent entities—establishing a trust foundation for the trading marketplace from the ground up.

To lower development barriers, MCP Server acts as a standardized bridge between AI large models and blockchain services, thoroughly connecting the two. Developers no longer need to write complex on-chain interaction code from scratch; they can use standard interfaces to drive AI Agents to invoke smart contracts and read on-chain data. Meanwhile, the Skills module pre-installs 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 the full suite of on-chain financial operations.

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 standardized configuration, 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 vision of “developing vertical agents, building agent markets, and hiring agents for collaboration” from concept to reality.