The logic of compliance, taxation, and governance for OpenClaw-like AI Agents in the Web4 era.

At the Web4.0 China Tour event a few days ago, the moderator posed a highly interesting and practical question to me: “With global regulations tightening and the EU’s AI Act already looming like a guillotine,how can AI with autonomous agency, such as OpenClaw, balance compliance and innovation? How exactly should industry self-regulation be implemented?”

This question strikes at the heart of the currentgovernment and corporate decision-makers’andtech entrepreneurs’most hidden concerns—facing the prospect of heavy-handed regulation, a subtle shadow lingers. There is worry that regulatory gaps will allow bad actors to drive out good ones, yet also suspicion that excessive regulatory intervention could lead to blanket bans.

However, from the perspective of actual business and legal logic, the ultimate outcome of regulation will by no means be a “ban,” but rather a“domestication” of new productive forces. Discussing the compliance and self-regulation of OpenClaw is not merely about mechanically applying legal provisions; it is a subject concerning how to balance technological innovation, security, and cognitive restructuring in the era of large language models—what are we afraid of?

 

From Controlling AI to Wealth Redistribution: The Leap from “Speaking” to “Doing”

To understand the intent behind regulation, one must first clarify the fundamental changes brought about by the leap in AI capabilities. From the familiar ChatGPT to autonomous agents represented by OpenClaw, technology has completed a dangerous yet fascinating leap:from “speaking” to “acting.”。

Traditional AI is like a smart consultant: you ask it questions, and it provides answers in a text box. However, an Agent at the level of OpenClaw is adigital agent with “agency.”It can take control of the mouse and reshape corporate business processes. For enterprise managers and government decision-makers, many risks are imaginable—if AI fabricates false instructions due to “hallucinations,” this is not merely a product defect but a direct legal disaster.This “autonomous agency,” which transcends traditional processes, may trigger systemic panic.

 

Value Loop: Frictionless Commerce Ignited by Web4

If “agency” gives AI hands and feet, then Web4 (the deep integration of Crypto and AI Agents)endows AI with independent “economic sovereignty.”This is precisely the core area that regulators fear most and need to regulate urgently.

When OpenClaw needs to call external APIs, purchase server computing power, or even conduct hedging transactions in prediction markets, it cannot open a corporate account at a traditional bank. Its native financial infrastructure must inevitably be blockchain and cryptocurrencies.An AI Agent combined with a Crypto wallet constitutes a permissionless, 24/7 operating, and border-crossing “automated economic entity.”

In this Web4 context, AI is no longer merely a tool working for humans; it has become a “digital merchant” capable of directly signing smart contracts and automatically settling assets. This “frictionless commerce,” completely detached from traditional financial intermediaries,while releasing enormous productivity, also poses the risk of rendering traditional regulatory systems, such as anti-money laundering (AML) and prevention of capital flight, ineffective.。

 

Reshaping Key Interests: The Inescapable “Machine Taxation”

As Web4 grants AI independent economic creativity and asset circulation capabilities, the other invisible hand of regulation must step in—to address “job displacement” and “wealth evasion,”which brings forth an unavoidable core issue for the future: AI Taxation (Robot Tax).

From the government’s perspective, human employees are the cornerstone of personal income tax and social security contributions. When enterprises extensively use intelligent agents like OpenClaw to replace human labor, and these agents conduct concealed commercial settlements on-chain using Crypto, the national tax base faces a cliff-like shrinkage.

Therefore, “machine taxation” is not a science fiction concept but an approaching policy reality. To hedge against the structural unemployment risks brought by AI, wealth redistribution through tax leverage is an inevitable choice. Whether imposing an “automation tax” on enterprises using AI to replace human labor or levying a “digital value-added tax” on AI’s on-chain transactions, regulators across countries will inevitably reach some level of coordination and pierce through the anonymous veil of Web4. For AI entrepreneurs aiming for long-term success,the earlier they incorporate “AI tax compliance” into their business model calculations, the more initiative they will hold in future regulatory storms.。

 

Industry Self-Regulation: Building Three Major “Firewalls” for Autonomous AI in the Web4 Era

Facing the dual impact brought by Web4, shouting slogans like “focus on the real, avoid the virtual” is insufficient. Practitioners must translate industry self-regulation intohard constraints at the code level.Currently, it is necessary to establish the following three risk control standards:

(1) Privilege Sandboxing and “Human-in-the-Loop”

For high-risk actions involving large transfers of Crypto assets (single large amounts or cumulative large amounts over a short period) or the signing of core smart contracts, a “Human-in-the-loop (Human-in-the-Loop)” mechanism must be retained. The logic of Multi-sig Wallets should be widely applied—AI can initiate transaction proposals, but the final on-chain confirmation must be completed with human keys, thereby cutting off the devastating consequences caused by AI exceeding its authority.

(2) Dual On-Chain and Off-Chain Logging (Immutable Execution Logging)

When AI autonomously executes tasks, the system must establish a “black box” similar to that of an aircraft. Not only must every internal decision be recorded, but the action flows generating direct economic value must achieve “on-chain rights confirmation and logging.”Establishing a transparent distributed ledger serves not only to accurately assign liability in case of anomalies but also to clearly define the AI Agent’s “residual labor value” and tax base in response to future tax audits.

(3) One-Click Physical Circuit Breaker (Kill Switch) Mechanism

This is the last line of defense for technical ethics. No matter how decentralized the Web4 architecture is, in extreme situations involving complex realities, the system control end must retain a feasible mandatory “physical circuit breaker switch.” When encountering uncontrollable situations (such as attacks exploiting smart contract vulnerabilities), humans can unconditionally sever the connection between the relevant Agent and all network interfaces and funding pools.

 

Conclusion: Dancing on the Boundaries of Rules

In the global race for technological supremacy, compliance and innovation are never a zero-sum game. The iron curtain of regulation filters out short-sighted speculators, leaving behind long-termists who know how to fight within the boundaries of rules.

As frontier technologies like OpenClaw enter the deep waters of Web4, their commercial endpoint lies not in how many technological limits they break, but in the extent to which they can safely and controllably integrate their “agency” and “economic sovereignty” into social governance and the operation of the real economy. Entrepreneurs who understand and respect social rules shouldprepare data ledgers for future “machine taxation” and complete the necessary “domestication” in cooperation with regulators, so that frontier AI can truly shed its dangerous wildness and become the strongest engine driving this era forward.

 

Author of this Article

Zhao Xuan, Partner at Mankun Law Firm. Lawyer Zhao Xuan graduated from the Law School of Tsinghua University and has represented hundreds of complex commercial litigation and arbitration cases in courts at various levels, including the Supreme People’s Court, and in major commercial arbitration institutions in Beijing, Shanghai, and other regions. Lawyer Zhao has handled numerous legal issues involving internet companies, AI startup companies, and Web3 industry companies, including but not limited to corporate structuring, investment and financing, dispute resolution, and emerging issues.

 

About Mankun

Mankun Law Firm was established in 2015 and is a boutique law firm in China focusing on the new Web3.0 economy and deeply rooted in the blockchain industry. Members of the Mankun team possess unique and diversified industry backgrounds, coming from renowned legal service institutions, state judicial organs, internet technology companies, crypto asset institutions, blockchain industry think tanks, and more.

Based on a profound understanding of the new economy sector, continuous attention and research on policies and regulations, and rich practical experience, the Mankun team excels in providing comprehensive legal services from the perspectives of business models and legal practice. These services include business structure design, project investment and financing, transaction planning, operational compliance, resolution of complex civil and commercial disputes, prevention and control of criminal risks, and criminal defense for new economy enterprises in Web3.0, blockchain, AI, NFTs, digital collectibles, crypto funds, crypto payments, DeFi, real-world assets (RWA), GameFi, and other sectors.

Mankun Law Firm is headquartered in Shanghai and has branch offices in Hong Kong (China), Silicon Valley (USA), Shenzhen, Hangzhou, Zhengzhou, Chengdu, and other locations. In response to the global compliance development needs of Web3.0 industry clients, Mankun has established local offices in major global crypto-financial cities and selected local professional blockchain service partners to provide clients with professional legal and compliance services featuring global breadth and Chinese depth.