S 1754 prohibits U.S. research institutions, federal agencies, and U.S. companies receiving federal funds from collaborating with specific Chinese entities linked to China's military-civil fusion strategy. It restricts partnerships in key technology areas like semiconductors, AI, quantum computing, and biotechnology, as listed on a government website. Covered entities must annually report all Chinese research ties, and violations risk losing future federal funding. The bill targets entities including PLA-connected universities, military-linked companies, and those with Chinese government ownership.
S 2177, the "No Adversarial AI Act," prohibits U.S. government agencies from acquiring or using artificial intelligence (AI) developed by "foreign adversaries" (defined as entities linked to countries deemed national security threats). Within 90 days of enactment, agencies must review and remove such AI from their systems, using a publicly listed catalog created by the Federal Acquisition Security Council (updated every 180 days). Exceptions allow limited use for scientific research, security testing, counterterrorism, or mission-critical functions, requiring written notice to Congress. The law directly affects federal agencies and foreign AI developers designated as adversaries, focusing on restricting government procurement of high-risk AI tools.
This bill directs the Commerce Department to develop and distribute free training resources to help small businesses adopt artificial intelligence and key emerging technologies like quantum-hybrid computing. The training will cover practical business areas including financial management, cybersecurity, marketing, and supply chain operations, with special focus on small businesses in rural, Tribal, or underserved communities and those in advanced manufacturing. The program requires annual updates to the training materials, distribution through existing Small Business Administration resource centers (like SCORE and small business development centers), and annual reports to Congress tracking participation and business outcomes. The initiative will expire three years after enactment.
HR 7734, the Land Grant Research Prioritization Act of 2026, directs existing federal research grant programs to prioritize four specific agricultural research areas. It adds new funding priorities for mechanized harvesting technologies (especially for specialty crops), artificial intelligence applications in farming (focusing on specialty crop production), invasive species management, and sustainable aquaculture methods. These grants will be awarded to land-grant colleges and universities, as defined by federal law, to develop and test these specific technologies and approaches. The bill does not create new funding but shifts emphasis within current programs toward these targeted research goals.
The Unleashing AI Innovation in Financial Services Act creates a new pathway for financial institutions to test AI-powered financial products with regulatory flexibility. Financial institutions can apply to their regulatory agency for an "alternative compliance strategy" that would temporarily waive or modify certain regulations for a limited time, provided they demonstrate how the AI test project serves the public interest, improves consumer access, and manages risks. Regulatory agencies must review applications within 120 days and report annually to Congress on outcomes of these AI test projects without disclosing proprietary information. This law directly affects banks, brokerages, investment firms, and other financial institutions regulated by agencies like the SEC, CFPB, and FDIC.
The SUCCESS for BEAD Act (S 3565) modifies how leftover funds from the federal BEAD broadband program can be used. It requires eligible entities to establish a competitive subgrant program using remaining funds for public safety (including Next Generation 9-1-1 systems), workforce development in telecommunications and AI sectors, and AI-supportive infrastructure projects. The bill specifies priorities for underserved areas, military installations, and cybersecurity, while including a public challenge process to prevent overbuilding of fiber infrastructure. It also establishes requirements for coordination with emergency communications centers for Next Generation 9-1-1 implementation.
The Defense Technology Hubs Act of 2026 requires the Secretary of Defense to establish a program creating regional hubs focused on advancing defense-related technologies like AI, quantum, and cybersecurity. These hubs - designated from applications by eligible consortia (including universities, defense contractors, and local governments) - will accelerate research, foster partnerships with military installations, and build workforce pipelines. The program authorizes $375 million (2026-2030) to fund hubs, with federal grants covering up to 50% of costs, while mandating strict security protocols to protect sensitive research. It aims to distribute at least 10 hubs across diverse U.S. regions within three years, prioritizing areas near existing defense facilities.
The Artificial Intelligence Literacy and Inclusion Act authorizes the National Science Foundation to fund local AI literacy programs targeting underserved communities, including people of color, low-income residents, rural populations, seniors, and people with disabilities. These programs must cover AI basics, ethics, applications, and societal impacts, with grantees required to submit annual reports on participant demographics and program effectiveness. Federal agencies like Labor, Commerce, and Education must also submit reports to Congress within one year on integrating AI literacy into workforce training, small business support, and school curricula, including how to adapt existing grant programs. The bill mandates public availability of all agency reports and emphasizes community-driven education to build broader public understanding of AI. This legislation aims to expand equitable access to AI education without specifying outcomes or advocating for particular policies.
HR 1694, the AI Accountability Act, directs the Commerce Department's Assistant Secretary for Communications and Information to study accountability measures for AI systems used in communications networks (like social media and telecom) and spectrum sharing. The study will examine how these measures can help close the digital divide, reduce cybersecurity risks, and clarify terms like "trustworthy" AI, while consulting with industry, academia, and consumers. It requires two reports within 18 months: one detailing the study findings and stakeholder feedback, and another recommending how to make AI system information accessible to the public. The bill does not impose new regulations but focuses on gathering data to inform future policy.
This bill creates a federal private right of action for individuals whose "covered data" (including personal information, biometrics, location data, and inferred profiles) is used without their clear, upfront permission. It requires explicit consent for data collection, processing, or sharing with third parties, mandating specific disclosures separate from general terms. Individuals can sue for damages (minimum $1,000 per violation), punitive damages, or injunctions, and the law invalidates pre-dispute arbitration agreements for these claims. The bill does not override stricter state privacy laws but establishes a baseline federal standard for data misuse by AI systems and data processors.
