China’s large language model (LLM) token weekly call volume has, for the first time, surpassed that of the United States; “Token Outbound” has thus emerged as a new frontier in China’s digital services trade. This article analyzes cross-border computing power deployment’s primary business models and dissects domestic and international regulatory frameworks to empower enterprises venturing overseas with computing power.
Against the backdrop of global AI large-model scale-up applications and imbalanced supply-demand dynamics for computing power, “Token Outbound” is emerging as a new frontier in China’s digital services trade. In February 2026, China’s LLM token weekly call volume peaked at 5.16 trillion tokens—accounting for 61% of the global total—and exceeded that of the United States for the first time. In April 2026, the nation’s first city-level end-to-end “Token Outbound” implementation was successfully validated in Shantou, Guangdong Province—marking the transition of this business model from conceptualization to real-world deployment.
However, “Token Outbound” is no smooth path. As an intersection point for cross-border data flows, technology exports, and digital services trade, it spans multiple regulated domains—including data出境 (data export), technology export, AI regulation, and international trade—resulting in layered domestic and international compliance constraints. From a legal practice perspective, this article systematically maps out the business models and current regulatory landscape for computing power outbound initiatives, analyzes core compliance risks, and outlines forward-looking compliance pathways—thereby providing legal empowerment for high-quality overseas expansion by Chinese computing power enterprises.
I. Computing Power Outbound: Conceptual Definition and Industrial Value
A “token” refers to the smallest billing unit used by AI models when processing inputs such as natural language, images, or code—essentially serving as a digital quantification vehicle for model computing power, electricity consumption, and algorithmic operational costs. Within today’s technological and trade environment, “computing power outbound” primarily denotes a business model wherein Chinese enterprises deploy AI models and computing infrastructure domestically and deliver inference services to overseas entities via API interfaces, settling payments cross-border based on token consumption.
Currently, three typical computing power outbound models have taken shape: (1) cross-border API delivery; (2) offshore data processing; and (3) overseas node deployment coupled with domestic computing power orchestration. As of the end of 2025, China’s total intelligent computing capacity reached 1.59 million PFlops—ranking second globally. “Token Outbound” closes the value chain loop spanning “green electricity → computing power → digital services,” making it a pivotal lever for China’s foreign trade transformation—from “goods export” to “digital services export.”
II. Domestic Regulatory Landscape for Computing Power Outbound
China currently lacks dedicated laws or regulations specifically governing cross-border provision of AI computing power services. However, in the areas of data export and technology export, a multi-tiered, cross-departmental, full-chain regulatory framework has already taken shape. Core regulatory bases include the Cybersecurity Law, the Data Security Law, the Personal Information Protection Law, and the Interim Measures for the Administration of Generative Artificial Intelligence Services. In addition, enterprises must comply with technology export control rules and relevant industrial policies governing computing infrastructure.
Regarding data export compliance, China adopts a tiered, classified, and legally prescribed-path regulatory model. Enterprises must select one of the following statutory pathways—based on data type and volume: security assessment for data export, Standard Contract Clauses (SCC) for personal information export, or personal information protection certification. Simultaneously, enterprises bear obligations under technology export control regulations and must fulfill statutory governance responsibilities relating to model safety, content safety, and log retention.
III. Compliance Challenges in Computing Power Outbound
Domestically, challenges include ambiguous business classification, low data export thresholds that easily trigger compliance requirements, and inherent conflicts between compliance costs and business models. Moreover, the combined effect of objective criteria for determining “export” status and “penetration-style” technical controls makes it difficult for enterprises to circumvent compliance obligations. Cross-border enforcement of content safety and data retention requirements also creates legal tensions.
Overseas, regulatory hurdles are equally formidable: EU and other major jurisdictions impose high thresholds for cross-border data transfers; global AI-specific legislation introduces entirely new compliance obligations; geopolitical tensions and technology controls erect market-access barriers; and even China’s integrated advantages in computing power and electricity face potential anti-subsidy investigations. Furthermore, digital services taxes and cross-border tax rules impose additional financial burdens on enterprises.
IV. Compliance Recommendations for Computing Power Outbound
For domestic compliance, enterprises should proactively engage with local cyberspace administration and commerce authorities; implement a mechanism combining “data classification & grading for export + dynamic monitoring”; and establish a final-user risk screening system. For overseas compliance, we recommend engaging local professional firms to complete Transfer Impact Assessments (TIA) and SCC filings; instituting a market-access risk evaluation mechanism; and undertaking proactive tax-structure planning.
V. Conclusion
As a novel vehicle enabling China’s AI computing power and digital services to compete globally, “computing power outbound” delivers economic value, industrial value, and strategic national value. Faced with multifaceted domestic and international compliance constraints, enterprises must build a dual-driver compliance system—integrating “technical risk control” and “legal architecture”—to achieve efficient global allocation of computing resources through differentiated deployment and penetration-style management—while ensuring algorithmic safety and data compliance.
[Zhong Lun Law Firm Team: Chen Yi’an, Chen Lin]
Tokenizing Global Computing Power: China’s “Token Outbound” Strategy and Its Crypto Market Implications
China’s emergence as the dominant player in LLM token call volume—surpassing the United States with 5.16 trillion tokens (61% of the global total)—signals a paradigm shift in how computational resources are monetized and distributed globally. The “Token Outbound” strategy, validated in Shantou in April 2026, represents a sophisticated convergence of AI, cross-border trade, and tokenized computing resources. For crypto investors, this development creates both unprecedented opportunities and significant regulatory headwinds that merit careful analysis.
The Tokenization of Computing Power: A New Asset Class
The article’s definition of a “token” as the smallest billing unit for AI processing operations fundamentally reframes our understanding of token utility. Unlike many crypto tokens that derive value from speculation or network effects, these computing power tokens represent tangible, quantifiable real-world resources—electricity, processing power, and algorithmic operations. This creates a fundamentally different value proposition:
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Intrinsic Value Link: Unlike meme coins or governance tokens, computing power tokens derive direct value from the cost of electricity and hardware—creating a more deflationary model as operational costs increase.
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Demand-Driven Pricing: With global AI scale-up applications creating imbalanced supply-demand dynamics, token prices could become increasingly correlated with real-world computational demands.
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Cross-Border Arbitrage: The three identified models (API delivery, offshore processing, node deployment) create potential arbitrage opportunities between regions with different computational costs and regulatory environments.
China’s Strategic Advantages and Their Market Impact
China’s position as the world’s second-largest intelligent computing provider (1.59 million PFlops) creates several strategic advantages that could reshape crypto markets:
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Scale Dominance: The sheer volume of Chinese LLM token operations establishes China as a potential center for computing power token liquidity, potentially creating new trading pairs and derivatives markets.
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Cost Efficiency: Lower electricity costs and integrated advantages in computing infrastructure could make Chinese computing power tokens more competitively priced, potentially driving adoption of China-based computing platforms.
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Export Transformation: The shift from “goods export” to “digital services export” represents a strategic economic pivot that could increase China’s influence in global tokenized service markets.
For crypto investors, this suggests potential opportunities in tokens representing cross-border computing infrastructure and services that can leverage China’s cost advantages while navigating regulatory complexities.
Regulatory Crossroads: Compliance as Market Differentiator
The article’s detailed analysis of regulatory challenges reveals critical insights for market participants:
Domestic Regulatory Complexity:
– China’s multi-tiered regulatory framework for data exports creates compliance thresholds that could significantly impact token operations
– The combination of “penetration-style” technical controls and objective export criteria makes regulatory arbitrage difficult
– Content safety and data retention requirements create operational overhead that smaller token providers may struggle to maintain
International Regulatory Hurdles:
– EU and other major jurisdictions’ restrictive data transfer policies could fragment the global tokenized computing market
– AI-specific legislation introduces novel compliance obligations that token providers must anticipate
– Potential anti-subsidy investigations against China’s integrated advantages could disrupt token economics
– Digital services taxes create additional friction in cross-border token flows
This regulatory landscape suggests that compliance capabilities will become a key differentiator among token providers, with well-capitalized projects that can navigate complex international regulations potentially gaining significant market advantages.
Investment Opportunities and Strategic Considerations
For experienced crypto investors, several strategic opportunities emerge from this evolving landscape:
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Infrastructure Tokens: Projects that facilitate cross-border data flows and computing power distribution—particularly those with built-in compliance mechanisms—could see significant adoption.
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Regulatory Tech Solutions: Blockchain-based solutions for tracking data flows, verifying compliance, and automating regulatory reporting could address key pain points in the “Token Outbound” ecosystem.
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Decentralized Computing Alternatives: The regulatory complexities of centralized “Token Outbound” models could drive demand for decentralized computing platforms that inherently distribute regulatory burdens across network participants.
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Cross-Border Payment Solutions: Tokens that facilitate efficient cross-border settlement for computing services could benefit from the growing “Token Outbound” economy.
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Regional Compliance Tokens: Tokens representing compliance certifications or regulatory approvals in key jurisdictions could become valuable utilities in the computing power ecosystem.
Risk Factors to Monitor
Investors should carefully monitor several risk factors:
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Regulatory Crackdowns: Increased scrutiny of cross-border data flows could significantly impact tokenized computing models.
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Geopolitical Tensions: Technology export controls and trade restrictions could disrupt “Token Outbound” operations.
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Competition Intensification: As major players enter the space, token margins could compress, particularly for providers without technological or regulatory advantages.
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Energy Transition Risks: Environmental regulations could increase the cost of computing power, impacting token economics.
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Centralization Risks: Dominance by a few large providers could create bottlenecks and reduce the distributed benefits promised by tokenized computing models.
Conclusion: The Dawn of Tokenized Real-World Resources
China’s “Token Outbound” strategy represents a significant step toward the tokenization of real-world resources, moving beyond purely financial applications into tangible economic activities. For crypto investors, this development offers exposure to a new paradigm where tokens represent actual productive capacity rather than speculative instruments.
The most successful investments in this space will likely be those that recognize compliance not as a burden but as a competitive advantage, and that build bridges between traditional computing infrastructure and the decentralized world of blockchain. As the boundary between physical and digital resources continues to blur, tokens representing computing power may emerge as one of the most valuable and fundamental asset classes in the evolving digital economy.