US AI policy

Companies must establish robust AI safety control systems with dedicated teams

Companies must hire independent auditors to evaluate AI systems

Provides a more convenient access channel for government services, improving user experience

Must establish comprehensive AI security incident reporting mechanisms to ensure timely disclosure of all unauthorized access attempts

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

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

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

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

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

Provides funding support for AI evaluation research and promotes academic collaboration

Data center operators must disclose their energy and water consumption data

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.

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.

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: Companies must comply with the new AI-based air traffic management system for flight scheduling and rerouting. • Opportunities: Enhanced flight safety, increased air traffic capacity, and improved operational efficiency. • Deadlines: The system is set to be operational by September 21, 2026, with a 12-year contract for development.

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.

Obligations: AI companies may face increased regulatory scrutiny and potential legal action over data usage and its impact on news publishers. • Opportunities: Companies may need to develop more transparent data practices and collaborate with news organizations to mitigate negative impacts. • Deadlines: The FTC consultation period is open for public comments until a specified date, after which the agency will consider feedback before potentially adopting new guidelines.

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

Companies must provide equivalent employment or pay severance/training fees for employees whose jobs are replaced by robots.

Obligations: AI companies operating in California may be subject to new regulatory requirements, including potential mandatory security audits by independent third parties. • Opportunities: Companies may gain clarity in the regulatory framework for AI safety, potentially reducing uncertainty. • Deadlines: Companies should prepare for the upcoming two-month timeline for the expert panel to submit its recommendations and the subsequent legislative process.

Obligations : Frontier AI labs must consider and implement safety mechanisms like a 'kill switch', and must have external monitoring and mandatory safety plans. • Opportunities : Provides clear regulatory direction for AI companies in California, helping to stabilize the market and facilitate long-term development. • Deadlines : The expert panel must submit recommendations within two months, with subsequent potential legislative processes.

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

Obligations: AI companies must ensure their content training practices comply with existing copyright laws to avoid costly litigation and financial penalties. • Opportunities: Companies may need to invest in developing and licensing alternative training data sources to mitigate legal risks. • Deadlines: While no specific deadlines are mentioned, the ongoing legal proceedings and potential court rulings will set precedents for future AI content usage.