China AI policy

Mountain scenic areas in Shandong present procurement and deployment opportunities for hiking-assist robot vendors

Commerce and manufacturing companies can apply for inclusive computing power, 'specialised and sophisticated' enterprise status, and fiscal support under the 'AI + Manufacturing' action.

Automakers and ADAS suppliers must audit all marketing materials, manuals, and launch statements to remove exaggerated claims or wording that downplays driver responsibility

Foreign AI services must obtain Chinese AI approval before launching in China; Apple's approval provides a reference path for similar products.

Licensed banks operating in Hong Kong must establish clear accountability mechanisms and ownership for AI systems under the ART framework

Companies doing AI R&D or deployment in Hong Kong can expect greater local compute supply; watch for application channels and pricing of compute resources.

AI model developers gain a clear "AI + railway" application direction with operation and maintenance data scenarios for online safety assessment and intelligent O&M projects.

Companies need to align their business strategies with Hong Kong's AI development direction

Clear liability rules established for accidents involving autonomous vehicles

Companies must ensure AI applications comply with new regulations, avoiding excessive usage

Research institutions need to increase AI R&D investment, particularly in foundation models and intelligent scientist systems

Operators can formally apply for commercial autonomous vehicle operations, moving beyond pilot programs

Companies must strengthen core technology R&D in multi-sensor fusion, algorithms, solid-state batteries, automotive chips, and operating systems

AI elevated to strategic priority level, indicating future policy support and funding

Mobile on-device AI service providers must complete registration to operate in China

Manufacturing enterprises are required to accelerate the application of AI in R&D design, production manufacturing, and management operations to enhance digitalization and intelligentization, aligning with national industrial policy directions.

E-commerce and livestream platforms must adopt AI technology to strengthen compliance and prevent issues like counterfeit products and price fraud

Companies must strengthen AI-manufacturing integration, developing smart factories and intelligent manufacturing solutions

Obligations: Companies must comply with new evaluation standards for token factories, focusing on core technical metrics like model adaptation capacity and energy efficiency. • Opportunities: Firms with leading token factories can receive government support. Companies involved in model technology iteration, chip adaptation, and overseas service development can tap into new market opportunities. • Deadlines: The plan is set for implementation from 2026 to 2028, with specific milestones for building factories, launching platforms, and achieving technology breakthroughs.

Obligations: Content creators must use the self-declaration mechanism to mark content sources. Companies deploying AI-generated content must ensure traceability. Users must adhere to rational and friendly expression guidelines, and avoid online harassment.