China AI policy

M- and N-category vehicles with L3/L4 autonomous systems must comply with the mandatory standard before 1 July 2027 or cannot be sold.

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

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.

All teachers nationwide must participate in full-coverage AI literacy training, involving adjustments to teacher qualification exams and certification content.

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.

Obligations: Companies in the electronics manufacturing sector must align their R&D and production strategies with the plan's goals, particularly in developing advanced chips and promoting domestic operating systems.

Obligations: Software companies are required to participate in the initiative, develop intelligent software products, and cooperate with terminal manufacturers for joint innovation. • Opportunities: Companies can benefit from government funding and support to develop new intelligent software products and participate in the creation of benchmark applications. • Deadlines: By 2028, the initiative aims to cover 20,000 large-scale software enterprises and create 100 benchmark applications.

From 1 July 2027, L3/L4 automated driving systems must meet the mandatory safety requirements; non-compliant models cannot be sold.