Policy desk

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

Data centre operators must provide equivalent renewable energy to their power consumption, increasing operational costs

ADAS providers must enhance detection capabilities for stationary or slow-moving vehicles

Chinese AI companies must ensure compliant handling of user data and prevent unauthorized data transfers

Dutch government will gradually reduce reliance on Microsoft products, shifting to NixOS-based autonomous solutions

Hong Kong companies will have opportunities to participate in AI research and industry collaboration projects with Austria

Enhanced public safety: Real-time detection of violence and vandalism enables faster police response

Financial institutions must provide AI skills training to employees to maintain competitiveness

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

Obligations: The FAA is obligated to ensure the AI system (like SMART) it deploys for air traffic management meets safety standards and provides reliable routing advice to controllers, while the system itself does not directly control planes. • Opportunities: The AI system can help optimize air traffic flow, reduce congestion, and improve airport operational efficiency. • Deadlines: The system was deployed in the airspace where the American Airlines/Black Hawk collision that killed 67 people in January 2025 occurred, requiring assurance of its safety and effectiveness.

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.

Obligations: Enterprises must invest in building an organizational ontology to provide context for AI agents. • Opportunities: A well-defined ontology enables more effective AI-driven automation and decision-making. • Deadlines: While not explicitly stated, the guide implies a need for immediate action to catch up with the pace of AI-driven network attacks.

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

Provides a unified regulatory framework for AI companies operating in ASEAN

AI-assisted works will receive partial copyright protection, with only human-creative portions legally protected

Obligations: Companies deploying Meta smart glasses must comply with Meta's privacy guidelines, implementing the indicator light system and applying software updates to prevent vulnerabilities.

Obligations: Data center operators must increase community participation in project approvals and cannot use confidentiality agreements. They must also comply with stricter environmental and energy efficiency standards. • Opportunities: Data centers investing in clean energy may receive priority for grid access. • Deadlines: The framework includes immediate administrative measures and proposed legislation for the 2027 state legislature.

Obligations: AI companies may face legal scrutiny and potential penalties if found to have coordinated to limit AI development speed, violating antitrust laws. • Opportunities: The case highlights the importance of transparent communication and compliance with antitrust regulations in the AI sector. • Deadlines: The court case is ongoing, with the possibility of a collective class-action suit being certified, which could impact the companies' operations and public perception.

Must equip AI models with 'kill switch' functionality and establish independent auditors; - Must collaborate with the expert panel to provide recommendations within two months; - Must comply with California's AI safety regulations, facing compliance risks otherwise.

Companies must ensure that the outputs from their AI systems are reviewed manually to comply with the government's suggestion. • Companies can leverage AI for efficiency improvements but must establish a manual review process. • Companies need to develop internal processes to address this suggestion.

Data center development approval processes will slow down, requiring companies to adjust project planning and timelines

Obligations: EU member states and AI developers may face increased scrutiny and potential new regulations to ensure AI development is slowed and its impacts are properly assessed.

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: AI companies such as Anthropic and OpenAI are obligated to provide third-party assessors with full access to resources, information, and direct communication channels with the board, free from interference.

Obligations: US AI companies may face increased scrutiny and potential regulatory constraints on their development speed.

Obligations: EU companies may need to adapt to new data regulations and frameworks being discussed, which could impose new compliance requirements.

Obligations: US policymakers must act within approximately one year to establish effective AI regulatory guardrails to prevent AI from going out of control.