AI compliance in China – What European companies need to know: Those who ignore these 5 rules risk millions in fines

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Published on: June 18, 2026 / Updated on: June 18, 2026 – Author: Konrad Wolfenstein

AI compliance in China – What European companies need to know: Those who ignore these 5 rules risk millions in fines – Image: Xpert.Digital

Data, deepfakes & more: The ultimate compliance guide for AI in China

Caught between the pressure to innovate and the regulatory labyrinth: Those who don't know the rules of the game will lose the Chinese market

China is rapidly developing into a global AI superpower, with a market volume soon to exceed one trillion dollars. But while innovations like the DeepSeek language model are astonishing the Western tech world and demonstrating China's algorithmic efficiency, Beijing is drastically tightening regulatory controls in its domestic market. This creates a perilous balancing act for European companies operating in China: those seeking to capitalize on China's enormous AI potential must navigate a globally unique and highly complex labyrinth of laws, data localization requirements, and strict government algorithm oversight. Violations can result in severe market access restrictions and fines amounting to millions. This article examines the rise of China's AI economy, deciphers the state's layered AI governance, and outlines the five key compliance requirements that European companies urgently need to understand to avoid being forced out of the market.

China's AI rise as an economic challenge for Europe

The People's Republic of China has emerged as the world's second superpower in artificial intelligence. What just a few years ago seemed like an ambitious state project with an uncertain outcome has now become a harsh economic reality for European companies. The Chinese AI market grew to a volume of approximately US$19.73 billion in 2024 and is projected to expand to over US$497 billion by 2035 – with an average annual growth rate of more than 34 percent. More specifically, the Chinese government expects the domestic core AI market to exceed 1.2 trillion yuan by the end of 2025 and reach one trillion yuan in the core sector alone by 2030. In parallel, China established a national AI industry fund of 60 billion yuan in 2025 and counted more than 6,000 active AI companies.

This rise is not a random market development, but the result of a coordinated state strategy. The investment framework that China offers its technology sector exceeds what Western markets can generate through private capital allocation alone. Total investment in China's primary AI market reached approximately 150.4 billion yuan in 2025—a 24 percent increase over 2024, which itself saw a 33 percent increase. A key driver of this new wave of investment was the DeepSeek language model, which surprised the Western technology industry in January 2025 by demonstrating that powerful AI models could be trained without exorbitant computing costs and high-performance Western chips. IDC forecasts that China's total investment in AI will exceed $100 billion by 2028, with an annual growth rate of 35.2 percent.

For European companies operating in China or competing with Chinese rivals, this presents a twofold challenge: On the one hand, they face Chinese competitors who can develop and scale AI applications at a fraction of previous costs, giving them massive efficiency and innovation advantages. On the other hand, they must decide whether and how they themselves want to use Western AI technology in their products, services, and processes in the Chinese market – while navigating an increasingly complex regulatory landscape.

The regulatory framework: China's layered AI governance

Unlike the European Union, which is pursuing a unified legal framework with its AI Act, China is pursuing a strategy of sector-specific, phased regulation with separate rules for different AI application scenarios. The result is a clearly layered but fragmented regulatory system that poses considerable complexity for internationally operating companies. Three regulatory instruments form the foundation of this framework.

The Regulation on Algorithm Recommendations (Provisions on the Management of Algorithm Recommendations of Internet Information Services) has been in effect since March 2022 and requires providers to disclose the mechanisms of their recommendation algorithms to the Cyberspace Administration of China (CAC). The Administrative Provisions on Deep Synthesis came into effect in November 2022 and regulates so-called deepfakes and other AI-generated media content. The Interim Measures for the Management of Generative Artificial Intelligence Services, which came into effect on August 15, 2023, represent the provisional conclusion of this three-stage framework. These measures were jointly issued by seven ministries and agencies under the leadership of the CAC and constitute China's first comprehensive regulation of generative AI.

This foundation is complemented by the Personal Information Protection Act (PIPL, in effect since November 2021), the Data Security Act (DSL), and the Network Data Security Regulations, which came into force on January 1, 2025. Since September 2025, a mandatory labeling requirement has also been in place for all AI-generated content—text, images, audio, and video—to curb misinformation. In December 2025, the CAC also published a draft set of rules for emotional or human-like AI interaction, which obligates providers to assume responsibility throughout the entire product lifecycle and to actively address psychological risks such as addictive behavior.

China possesses a globally unique regulatory mechanism with its algorithm registration system: companies must register algorithms with the CAC before making them available. This system of preventive state control has no direct equivalent in the Western regulatory framework and often represents the biggest bureaucratic hurdle for foreign companies.

Scope and extraterritorial effect

One of the most important and often underestimated questions for European companies concerns the scope of Chinese AI regulations. The interim measures apply to the provision of generative AI services to the public in China – regardless of whether the provider is based inside or outside of China. Foreign providers offering generative AI services to the Chinese public from abroad are therefore generally subject to the regulations.

The crucial distinction here is between public and private services. Companies that use generative AI exclusively for internal purposes, in research and development, or within a clearly defined user group are not subject to the interim measures. This exception is of considerable practical importance for many B2B applications of European industrial companies in China: A machine manufacturer that uses AI assistance internally for its production control or quality control, without operating publicly accessible AI services, is not subject to the same requirements as a provider of a public chatbot.

The issue of cross-border data processing deserves particular attention. As soon as a European AI solution processes personal data of Chinese users—even outside of China—the PIPL applies with extraterritorial effect. This means that a European company operating an AI-powered application for Chinese customers and processing their data on European servers must comply with the PIPL requirements. Violations can result in fines of up to 50 million renminbi or five percent of annual turnover. The PIPL is structurally similar to the European GDPR, but explicitly applies only to private companies and not to state-owned enterprises—an asymmetric regulation that gives Chinese state actors a significant competitive advantage.

The five key compliance requirements for European companies

Data localization and data transfer

Chinese data protection laws stipulate a fundamental obligation to localize data. Operators of critical information infrastructure are required to store personal information and important data within Chinese territory. All companies processing more than ten million personal data records are subject to additional security requirements under the Network Data Security Regulations. While cross-border data transfers from China are possible, they involve considerable bureaucratic effort: depending on the type and volume of data transferred, a security assessment by the CAC (Central Office for Data Protection), a standard contractual clause, or certification is required. Security assessments by the CAC are only valid for two years. This creates a complex compliance path for European companies training AI models or operating AI-supported processes with Chinese customer data, requiring local infrastructure, local legal counsel, and regular contact with authorities.

Algorithm registration and security assessment

All companies operating algorithmic recommendation services or generative AI services in China must register their algorithms with the CAC within ten business days of launching the service. Generative AI services exhibiting public opinion attributes or social mobilization potential must also undergo a government security assessment. In practice, this primarily affects language models with widespread public use, multimodal generation systems, and consumer AI chatbots. The security assessment can be conducted by the company itself or by a third party, but must be submitted to the local offices of the CAC and the Public Security Bureau. Separate reports to cybersecurity authorities are required for services that build emotional connections with users or have more than one million registered users or 100,000 monthly active users.

Content control and ideological conformity

China's regulatory approach to AI content differs fundamentally from Western systems. Providers of generative AI services are obligated to create content in accordance with core socialist values. Specifically, this means that AI models must be trained and moderated in such a way that they do not generate content that undermines state order, endangers national unity, or is deemed politically unacceptable. Training data must originate exclusively from legal sources, and providers must grant access to technical data, training data, and other information during government inspections. The China AI Commission (CAC) has the authority to impose technical measures on foreign providers for violations—in practice, this means blocking access within China. For this reason, Western AI models like ChatGPT are officially unavailable in China.

Labeling requirement for AI-generated content

Since September 1, 2025, all AI-generated content in China must be clearly labeled as such. This requirement applies to text, images, audio files, and videos. App store operators like Apple and Google are also obligated to ensure that the applications offered on their platforms comply with these labeling requirements. Falsely labeling human-created content as AI-generated is a punishable offense, as is removing existing labels. For European companies that use AI-supported content production in China—for example, for marketing, customer communication, or technical documentation—this creates specific obligations to adapt their software systems and editorial processes.

Local presence and responsible persons

Foreign companies providing AI services to Chinese users are required by the PIPL to appoint a representative in China and register this representative with the local authorities. Furthermore, the interim measures stipulate that generative AI providers must maintain local moderation teams capable of responding to official inquiries and promptly removing illegal content. For foreign companies without a physical presence in China, this effectively creates a requirement to establish a local compliance infrastructure – whether through a branch office, a joint venture structure, or by appointing a local representative. The requirements for this local presence are not trivial: they include technical capabilities for content filtering, legal capacity to act before Chinese authorities, and sufficient personnel resources for ongoing compliance work.

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Between regulation and opportunity: How industrial companies in China are utilizing AI potential

Investment law and the limits of market access

In addition to operational compliance requirements, European companies must observe the investment regulations. The Chinese negative list for foreign investments was last reduced in November 2024 to 29 entries across eleven sectors. On a positive note, all restrictions in the manufacturing sector have been lifted, which significantly facilitates market access for European industrial companies.

However, significant restrictions remain in the AI sector. Foreign investment is explicitly prohibited in AI applications related to military technologies, critical cybersecurity tools, and sensitive information processing algorithms. In the areas of AI for critical infrastructure, advanced robotics, and big data processing, foreign participation is limited to a maximum equity stake of 50 percent and requires Chinese joint venture partners as well as additional approvals. In practice, this means that European companies wishing to deploy AI technology in sensitive areas cannot do so through fully independent subsidiaries but must rely on local partners – with all the strategic and operational implications that joint ventures in China entail.

Added to this is China's growing export controls, which can also affect algorithms. This is noteworthy because traditionally, primarily Western countries have export control mechanisms to restrict the transfer of sensitive technologies. China is developing mirror-image instruments here, reversing the direction of outflow protection and aiming to protect Chinese AI technology from uncontrolled transfer abroad.

Western AI in China: Opportunity or illusion?

Despite the restrictive regulatory environment, opportunities exist for European companies to succeed in the Chinese market with Western AI solutions – albeit under conditions that are often underestimated. The argument for Western AI in China stems from two sources: the continued strength of European industrial products and the specific trust premium that some Chinese customers still attribute to Western technologies.

Western products and services remain highly sought after in China across many segments, particularly in the high-end industrial sector. The combination of proven European manufacturing and engineering expertise with modern AI capabilities—for example, in predictive maintenance, quality control, or production optimization—offers genuine differentiation potential. At the same time, Karlheinz Zuerl, CEO of GTEC and a renowned China expert, warns against a common mistake: AI algorithms developed in the US and used in Europe are not proving effective in China. He sees significant risks—both regulatory and practical—for companies planning to enter the Chinese market with ChatGPT or similar Western Large Language Models.

The reality is sobering: Since July 2024, OpenAI has blocked access to its services in China, including its API interfaces. Chinese developers and companies that had previously accessed these interfaces via VPNs have had to find alternative solutions. This makes it clear: Anyone wanting to use Western AI in China cannot avoid local adaptations or local alternatives. The practical consequence for European B2B companies is a two-pronged strategy: Western AI expertise and architecture for internal processes and product development, but local Chinese AI services (Baidu ERNIE, Alibaba Qwen, DeepSeek, etc.) for all publicly accessible or customer-facing applications in China.

The Chinese AI competition: A realistic overview

The competitive pressure exerted on European firms by Chinese AI companies is far more tangible today than it was just a few years ago. The so-called “Hundred Model War” in China—a massive proliferation of AI models from a wide variety of manufacturers—has led to algorithms that were previously offered exclusively by US companies now being replicated by cheaper Chinese counterparts. Alibaba’s Qwen series, ByteDance’s Doubao chatbot with 78.6 million monthly active users, and Baidu’s ERNIE family are all competing fiercely. DeepSeek demonstrated with R1 that frontier-oriented AI is possible even without the most expensive Nvidia chips and with significantly lower training costs.

This has immediate consequences for European companies in China: Chinese competitors can develop and scale AI applications at 20 to 40 times lower costs. Innovation cycles are shortening dramatically, the speed of adaptation to customer needs is increasing, and price pressure on European solutions is intensifying. This is forcing European players to focus on areas where their specific strengths – reliability, explainability, data protection, and precision in industrial applications – offer genuine differentiation from cheaper Chinese alternatives.

China has formulated a strategic ambition that extends beyond its domestic market: By 2027, the penetration rate of smart devices and AI agents in key sectors is to exceed 70 percent, rising to more than 90 percent by 2030. This roadmap demonstrates that Chinese AI is not to be understood as a regional phenomenon, but rather as a global competitive factor that will also be present in European markets.

Strategic options for European companies

The challenge for European companies in the Chinese AI environment is fundamentally strategic: it is not about circumventing Chinese AI regulation, but about accepting it as a condition of operation and making smart decisions about market strategies, product architectures and cooperation models.

A key recommendation is: internal before external. AI applications used exclusively for internal process optimization and not publicly accessible are subject to significantly lower regulatory requirements. European companies using AI for production control, logistics optimization, quality assurance, or internal decision support can deploy Western AI architectures in China without being subject to the full regulatory regime of interim measures – as long as these systems are not publicly accessible.

A second recommendation concerns choosing the right partners. For applications serving Chinese users publicly, integrating approved Chinese AI services as a foundation, then enriching them with European industry and data expertise, is recommended. This hybrid approach leverages the regulatory compliance of Chinese models and combines it with the domain knowledge of European providers. The question of which Chinese base models might be relevant to the specific company should be addressed early in the AI strategy for China.

A third recommendation concerns the development of compliance infrastructure. The requirements of CAC registration, data localization, content control, and local accountability make a local compliance structure indispensable. Companies that build this infrastructure reactively and in the short term incur significantly higher costs than those that design it proactively and scalably. Integrating data security, algorithm testing, and content monitoring systems into product development—what Chinese regulators consider “compliance by design”—is the more cost-effective solution in the medium term.

Regulatory asymmetry and geopolitical reality

AI compliance in China is not just a technical and legal issue, but also a strategic and geopolitical one. Europe and China pursue fundamentally different regulatory philosophies: The EU relies on a comprehensive, fundamental rights-based regulatory framework with the AI Act as its central instrument. China, on the other hand, combines a security- and state-oriented approach with the aim of using AI as an instrument for national transformation and global influence projection. The China AI Commission (CAC) possesses far-reaching powers to block non-compliant foreign providers through technical measures – as demonstrated by the blocking of ChatGPT and other Western services.

The negative list for foreign investment reveals the inherent tension: On the one hand, China has recently lifted restrictions in the manufacturing sector, signaling openness to foreign capital. On the other hand, sensitive AI areas remain closed to wholly foreign-controlled companies or are strictly regulated. This selective opening is strategically calculated: China aims to attract foreign expertise and capital in less security-sensitive areas while maintaining national control over its core AI technologies and infrastructure.

European companies should not ignore this geopolitical reality. Those who want to maintain a long-term presence in the Chinese market need not only an AI strategy and a compliance structure, but also a clear stance on which business models and data architectures are compatible with their own corporate values and the requirements of European legislation – particularly regarding data protection and human rights. Direct conflicts of standards sometimes arise between the EU AI Act, the GDPR, and Chinese AI requirements, necessitating not a simple technical solution, but a strategic one.

The shifting balance of power and its consequences for the future

The global AI landscape is in flux, and the shifts of the coming years will significantly influence the strategic position of European companies in China. With its AI Plus Initiative launched in August 2025, China is aiming for profound AI integration across all core areas of society and the economy. The 15th Five-Year Plan (2026–2030) will establish AI as a cross-cutting technology for industry, logistics, healthcare, and public administration. By 2028, the generative AI market in China alone is projected to reach $284.2 billion.

Europe is responding to this rise with a combination of regulatory architecture and investment initiatives. The EU's AI Continent Action Plan envisions tripling European data center capacity and attracting €20 billion in private investment for five European AI development centers. The ambition is clear – but the gap with China and the US is real and will continue to widen without decisive action.

For European companies doing business in China, this creates a paradoxical but strategically solvable situation: While Chinese competitors operate in their home market with inexpensive, state-subsidized AI solutions, European companies can leverage their strengths in industrial AI, explainable systems, and data protection-compliant architectures – in fields where European regulation is not a handicap but a mark of quality. The crucial question is not whether European companies can compete with AI in China, but whether they are prepared to accept compliance requirements as a structural prerequisite for this competition and to invest strategically in them.

Companies that take this step early – understanding compliance not as a cost but as an investment in market access – will gain a significant head start over those that reactively. In a market where innovation cycles are measured in months, not years, this advantage can be crucial.

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