The SUCCESS for BEAD Act (HR 6920) amends the BEAD program to allow states and other eligible entities to use remaining broadband grant funds for specific purposes. It authorizes the use of these funds for AI-supportive telecommunications infrastructure, workforce development, public safety, and national security initiatives through a competitive subgrant program. The bill establishes specific requirements including a public challenge process for fiber infrastructure projects and priorities for underserved areas and strategic infrastructure. It also includes detailed definitions and requirements for Next Generation 9-1-1 systems in emergency communications centers. The bill provides more specific guidance on how remaining funds can be used without changing the overall BEAD program structure.
S 305, the Small Business Technological Act of 2025, expands eligibility for Small Business Administration (SBA) Section 7(a) loans to cover business software, cloud computing services, and AI-powered tools that support core operations like payroll, HR, sales, billing, accounting, and inventory management. The bill directly affects small businesses seeking SBA loans by allowing these funds to finance technology tools they previously could not use for such purposes. It explicitly excludes research and development from eligible uses and clarifies that existing working capital definitions remain unchanged. This policy change modifies the SBA’s existing loan program without creating new funding or altering prior loan approvals for qualifying technology.
The READ AI Models Act directs the National Institute of Standards and Technology (NIST) to develop a free, flexible template for documenting artificial intelligence (AI) models. The template would require basic details like developer information, training data cutoff dates, supported languages, and terms of service for both public and private sector AI models. NIST must gather public input through a 60-day comment period before finalizing the template and technical guidelines. If the pilot program proves effective, NIST would publish the template publicly and report to Congress within one year.
This bill directs the Election Assistance Commission (EAC) to create voluntary guidelines for state and local election offices on managing artificial intelligence (AI) in elections. The guidelines must address AI's risks and benefits, cybersecurity threats, how AI affects sharing accurate election information, and how it might spread disinformation. The EAC must also study AI's use in the 2024 federal elections by July 2026 and update the guidelines based on that study. These guidelines are non-binding, meaning election offices choose whether to adopt them, and they aim to help election administrators navigate AI tools responsibly.
This bill requires the Department of Energy (DOE) and the National Oceanic and Atmospheric Administration (NOAA) to collaborate on research using advanced computing techniques - like AI, high-performance computing, and data analytics - to improve weather and climate models. It establishes a competitive funding process for federal agencies, National Laboratories, and universities to develop new models and optimize computing infrastructure, with up to three "centers of excellence" at National Labs prioritizing existing NOAA partnerships and AI computing expertise. The bill mandates reports to Congress within two years detailing progress, collaboration effectiveness, and future opportunities, and expires after five years. It directly affects NOAA, DOE, National Laboratories, and academic institutions participating in the funded research.
This bill creates a federal program requiring developers of powerful AI systems (defined as those using over 10²⁶ computing operations) to participate in mandatory testing. The Department of Energy will evaluate these systems for risks like loss-of-control scenarios, weaponization threats, or harm to civil liberties, collecting data on safety and behavior. Developers must share code, training data, and technical details with the program and face $1 million daily fines for non-compliance. The program runs for seven years, producing annual reports and a final oversight plan for Congress to inform future regulations on advanced AI.
This bill establishes the Defense Technology Hubs Program, requiring the Secretary of Defense to create 10 regional hubs by 2028. These hubs - formed by partnerships of universities, defense contractors, small businesses, and state/local governments - will focus on accelerating development of defense technologies like AI, quantum computing, and hypersonics. The program authorizes $375 million (2026-2030) for grants, with hubs using funds for research, prototyping, and workforce training while complying with security rules like export controls (ITAR/EAR) and cybersecurity standards. It prioritizes geographic diversity and aims to strengthen collaboration between defense agencies, industry, and academic institutions to boost national security innovation.
This bill amends the Federal Food, Drug, and Cosmetic Act to allow artificial intelligence (AI) and machine learning technologies to legally prescribe drugs under specific conditions. It requires AI systems to be both authorized by state law and approved by the FDA under sections 510(k), 513, 515, or 564. The law directly affects healthcare AI developers, providers, and patients by establishing a regulatory framework for AI-driven drug prescriptions. Key provisions define AI as a "practitioner" for prescription purposes only when meeting these two federal and state requirements. This creates a clear pathway for AI to legally prescribe drugs within existing FDA and state oversight.
HR 6304, the "AI for America Act," requires federal agencies to develop an action plan by July 2027 focused on AI leadership, security risks, and bias mitigation, along with biennial updates. It mandates identifying regulatory barriers to AI adoption in healthcare, scientific research, and transportation within one year of enactment. Additionally, the bill directs the National Institute of Standards and Technology (NIST) to submit a report within one year on methods to detect security risks and ideological bias in AI systems, including third-party audits and public disclosure protocols. The bill primarily affects federal agencies like OSTP and NIST, setting procedural deadlines without creating new funding or direct regulatory changes for AI developers.
The Workforce of the Future Act of 2025 requires federal agencies to produce reports analyzing artificial intelligence's impact on the workforce, including data on affected industries, demographic impacts, and necessary skills. It authorizes $160 million in Department of Education grants to expand emerging and advanced technology education in schools, with a focus on underserved communities and students from low-income backgrounds. The bill also allocates $90 million in Department of Labor grants to support workforce training for workers most affected by AI, particularly those in high-impact industries. Both programs require detailed reporting on demographic data and will be evaluated for effectiveness. The legislation aims to prepare workers and students for an AI-driven economy through education, training, and equitable access to technology skills.
