China GenAI Regulations: The Complete Compliance Guide for SMEs in 2026
China regulates generative AI through a layered framework of measures on algorithms, deep synthesis, and GenAI services. Here is what it means if you serve Chinese users.
China regulates AI differently from the EU or the US: not one omnibus law, but a layered set of binding measures that arrived quickly and are actively enforced. If your product serves users in mainland China — or you build on a Chinese model provider — these rules shape what you can ship.
The four pillars
- Algorithmic Recommendation Provisions (2022). Cover recommendation engines, ranking, and personalized push. Require transparency, an opt-out from personalization, and protections against exploitative pricing.
- Deep Synthesis Provisions (2023). Cover synthetic media — deepfakes, voice cloning, AI-generated video. Require conspicuous labeling and consent from people whose likeness or voice is edited.
- Interim Measures for Generative AI (2023). The core GenAI rule: public-facing GenAI services must uphold content rules, respect IP and personal data rights, label AI-generated content, and take down illegal content promptly.
- AI Content Labeling Measures (2025). Standardize both explicit labels (visible to users) and implicit labels (metadata watermarks) for AI-generated text, images, audio, and video.
Key obligations in practice
- Algorithm filing. Services with "public opinion attributes or social mobilization capability" must file their algorithms with the Cyberspace Administration of China (CAC) and may need a security assessment before launch.
- Content labeling. AI-generated output must carry the standardized labels — build this into your pipeline, not as an afterthought.
- Training data legality. You must use lawfully sourced data and respect personal information rules under PIPL, China's data protection law.
- User complaint channels. A working mechanism to receive and handle user reports is mandatory.
What this means for an SME
If you don't operate in China, the direct obligations don't reach you — but two indirect effects do. First, if you white-label or embed a Chinese GenAI model, its content controls and labeling behavior come with it. Second, China's labeling regime is becoming a global reference point; building content provenance into your product now is cheap insurance.
Rule of thumb: if Chinese residents can sign up for your GenAI-powered service, assume the Interim Measures apply and get local advice before launch.
Your action list
- Map whether any users, vendors, or model providers touch mainland China.
- If yes, verify your provider's algorithm filing status and labeling compliance.
- Implement AI-content labels (visible + metadata) across generated output.
- Document training-data sources and personal-data handling to PIPL standard.