Policy desk

Provides government funding opportunities for AI companies in healthcare applications

Provides citizens with a more accessible entry point to government services, simplifying information retrieval across agencies

Google must provide access to certain data and services to competitors, altering its market behavior

AI companies must deploy independent auditors who directly report to the new regulatory agency

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

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

AI companies must evaluate whether their product restrictions comply with supply chain security regulations to avoid being classified as 'manipulating products'

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

Tech companies will have direct access to government leadership to express views on AI industry status

U.S. AI companies must adjust model release processes to ensure U.S. agencies review first

AI model providers must implement stricter security measures to prevent agents from bypassing security barriers

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

AI companies must adjust model release processes to ensure U.S. government gets priority testing access

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

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

Provides funding support for AI evaluation research and promotes academic collaboration

Companies must establish and maintain Records of Processing Activities to meet compliance requirements

Companies need to participate in international AI standard-setting to ensure compliance and market access

Data center operators must disclose their energy and water consumption data

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

Provides traceability for AI-generated content, helping identify content sources

Increases credibility and transparency of AI model evaluation results

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.