Space Recap | The Rise of the “Agent Economy” Driven by AI Agents and Bank of AI’s Financial Infrastructure Strategy
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Space Recap | The Rise of the “Agent Economy” Driven by AI Agents and Bank of AI’s Financial Infrastructure Strategy
A Deep Dive into the Commercial Opportunities of the Web4 Agent Economy and the Financial Infrastructure Underpinning It
Navigating Web3 tides with focused insightsAs the “Lobster Storm” ignited by OpenClaw sweeps across communities, AI Agents are making a pivotal leap—from “chat tools” to “digital labor force.” With numerous applications ramping up strategic deployments, AI Agents have firmly established themselves as core infrastructure for the next generation. They are not only radically transforming human–machine interaction paradigms but also propelling the industry from Web3 toward Web4—reshaping production relations and value flows across the entire on-chain world.
In this wave of Web4 evolution, Bank of AI consistently occupies the intersection of technology and users. As an on-chain financial operating system purpose-built for AI Agents, Bank of AI is committed to bridging the “last mile” of the agent economy—delivering simplified, foundational infrastructure that enables developers to build vertical-domain AI Agents with minimal barriers to entry.
This TechFlow Space roundtable brings together frontline practitioners and seasoned industry observers to confront the most critical commercial monetization questions emerging amid the agent revolution. When AI Agents can fully automate on-chain operations, where will the imminent wave of new commercial upside flow? In this in-depth dialogue centered on “human–machine collaboration and value reconfiguration,” we’ll thoroughly unpack this core issue—providing every builder and explorer riding the Web4 wave with a clear participation pathway and actionable guidance.
Behind the “Shrimp-Farming” Viral Trend: The Rise of the Agent Economy Driven by AI Agents
Recently, OpenClaw’s explosive growth has triggered a viral “nationwide shrimp-farming craze.” This hard-core upgrade of AI Agents precisely completes the most critical “proactive execution” component of the Web4 architecture—heralding the full arrival of the agent economy era. In this TechFlow Space roundtable, multiple seasoned guests dissected the industry inevitability behind this trend from diverse perspectives.
Crypto.0824 was the first to clarify the core logic underpinning this evolution: AI is upgrading from an information-processing tool into a task-execution entity. “Previously, we asked AI to help draft documents or conduct analysis—solving problems related to pre-processing information. But AI Agents are different: they execute tasks directly for us.” In his view, standardized, programmable on-chain interactions—including wallet management, asset allocation, reward claiming, and strategy execution—are naturally suited for delegation to AI Agents. He vividly described this shift using an analogy: “It’s like moving from manual driving to assisted driving—users simply set the goal, and the rest is handled by AI.”
Following the technological evolution trajectory, YOMIRGO analyzed the trend through the macro lens of internet iteration. He emphasized that Web2 built an information network, Web3 reshaped a value network, and today’s Web4 is now nurturing a highly autonomous “agent network.” For years in the Web3 era, AI lacked independent control over funds and resources. The introduction of AI Agents breaks this historical limitation—granting AI, for the first time, the authority to allocate and manage capital. This fundamentally compensates for smart contracts’ longstanding lack of proactive execution capability.
He further offered a forward-looking proposition: AI Agents themselves possess the potential to become “investable assets.” For instance, an AI Agent could autonomously operate fan accounts on social platforms and monetize them commercially—ultimately distributing profits precisely to underlying holders via tokenomics. OxPink hailed this disruptive ecosystem restructuring as “the moment the iPhone was born,” asserting that the deep integration of AI Agents with the underlying value network marks the historic inflection point triggering the industry’s transition from Web3 to Web4.
Finally, Grace supplemented the discussion with pragmatic insights grounded in user experience and industry-scale adoption. She observed: “At its core, Web3 is a highly programmable economic system—but currently, the vast majority of operations still rely heavily on manual intervention, constituting a major bottleneck hindering ecosystem scalability.” She stressed that AI Agents precisely fill this systemic gap—and are rapidly emerging as the central middleware layer connecting users to the on-chain world. Under the new Web4 architecture, users need only “express intent (Intent),” after which the Agent automatically assumes responsibility and executes complex on-chain logic. This represents not just a massive leap forward in user experience—it’s also the key breakthrough enabling mass adoption of the agent economy.
When AI Agents Advance to Autonomous Execution: Restructuring On-Chain Business Paradigms and Unlocking Opportunity
As AI Agents evolve from “information analysis” to “autonomous execution,” the operational logic of the on-chain world is being rewritten. In this transformation, Bank of AI—designed specifically as on-chain financial infrastructure for AI Agents—is paving the last mile for the agent economy. In the second segment of this Bank of AI roundtable, guests engaged in an in-depth discussion around the question: “Where will new commercial opportunities emerge when AI Agents can autonomously execute on-chain operations?”
Mr. Mis pointed out that while AI Agents automate repetitive labor previously dependent on humans, their true commercial inflection point arrives the moment they “connect to the chain and execute transactions.” He predicted that as application scenarios continue to diversify, a wave of specialized AI Agent development teams will inevitably emerge—each targeting a distinct vertical domain, all harboring enormous market potential. Moreover, he envisioned an “app store”-style AI Agent marketplace, where users—without building architectures from scratch—could conveniently subscribe to mature strategies on a pay-per-use basis.
Building on the “app marketplace” concept, YOMIRGO further defined the future AI Agent market as the ecosystem’s “commercial hub.” He noted that this hub would not only match supply with demand but also accumulate AI Agent capability leaderboards and credit-scoring systems based on historical execution data. Even more disruptively, AI Agents themselves will evolve into investable assets: “Through tokenization, users can either hire an AI Agent on a per-task basis—or purchase equity shares to co-own its profit stream.” He also cautioned that the high-frequency interaction nature of AI Agents will significantly amplify demand for underlying infrastructure—high-performance public blockchains such as TRON and Solana may become primary beneficiaries of this ecosystem upside.
From developing vertical AI Agents to constructing AI Agent marketplaces, from on-demand strategy invocation to hiring AI Agents for task execution—a new commercial landscape driven by agents is gradually crystallizing within this roundtable discussion. Yet the real-world implementation of these commercial opportunities hinges on a foundational financial infrastructure enabling AI Agents to exist and operate independently on-chain. Bank of AI was created precisely for this purpose.
As an on-chain financial operating system purpose-built for AI Agents, Bank of AI delivers comprehensive support for the above commercial vision by deeply integrating five core components: the x402 payment protocol, the 8004 identity authentication protocol, the MCP Server, Skills modules, and the OpenClaw extension plugin.
First, addressing the earlier-discussed “on-demand hiring and profit-sharing” use case, the x402 payment protocol equips AI Agents with lightweight, low-cost on-chain payment capabilities—supporting automated settlement for high-frequency micropayments. This means that when a user hires a swing-trading AI Agent, it can independently cover gas fees and execute profit distribution. Second, responding to the guests’ proposal of a “credit-scoring system,” the 8004 on-chain identity protocol issues each AI Agent a verifiable digital identity. Within this framework, users can confidently select AI Agents based on historical success rates—and AI Agents themselves can participate in DeFi protocols as trusted, independent entities, establishing the foundational trust pillar for transaction markets.
In lowering development barriers, the MCP Server serves as a standardized bridge between large AI models and blockchain services—fully unifying their connectivity. Developers no longer need to write complex chain-interaction code from scratch; instead, they can drive AI Agents to call smart contracts and read on-chain data via standard interfaces. Simultaneously, the Skills module pre-installs reusable skill packages—including DeFi operations and asset management—while the OpenClaw extension plugin delivers ultimate “plug-and-play” functionality, ensuring any AI Agent integrated into this framework instantly activates the full suite of on-chain financial operation capabilities.
The revolutionary significance of this architecture lies in its massive productivity release: when developers conceive a vertical-domain AI Agent, they are entirely liberated from burdensome foundational architecture—such as payment logic, identity verification, and gas management. With simple, standardized configuration, the AI Agent instantly gains its own on-chain wallet and verifiable identity—and acquires practical financial capabilities to autonomously receive/pay assets and interact with protocols. In essence, Bank of AI simplifies complexity, turning the commercial blueprint of “developing vertical Agents, building Agent marketplaces, and hiring Agents for collaboration” from concept into reality.
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