Linda McMahon and the A1 Framework
Linda McMahon currently serves as the Administrator of the Small Business Administration, a federal agency overseeing small business policy and federal contracting. Her appointment followed a Senate confirmation vote in early 2025, with a focus on deregulation and streamlined federal support for small businesses. The A1 framework, referenced in recent policy discussions, refers to a proposed administrative approach that prioritizes rulemaking clarity, cost-benefit analysis, and faster permitting for small and medium enterprises. Under this framework, agencies are directed to evaluate existing rules for their impact on small business competitiveness and to replace outdated guidance with plain-language directives. The SBA under McMahon has published updated guidance documents that align with the A1 approach, emphasizing transparency and reduced compliance burden for small firms. These changes are part of a broader executive order on regulatory reform that directs agencies to review rules issued in the previous administration. The A1 label is used in internal SBA communications to distinguish this streamlined rulemaking track from previous, more complex regulatory processes. For context on SBA leadership changes, see the official SBA leadership page at https://www.sba.gov/about/leadership.
The A1 framework also intersects with federal technology policy, where agencies are encouraged to adopt artificial intelligence tools while maintaining human oversight. McMahon has stated that the SBA will pilot AI-based tools for loan processing and compliance checks, provided they meet strict transparency standards. The framework does not replace human decision-making but aims to reduce paperwork and speed up approvals for small business applicants. The SBA has published a roadmap for these pilots, with initial deployments expected in select regional offices. The A1 approach also requires agencies to publish plain-language summaries of any AI-assisted decisions affecting small businesses. This aligns with broader White House guidance on AI governance, which emphasizes accountability and public trust. The SBA roadmap references the use of automated systems in loan underwriting, with clear opt-out provisions for applicants. For details on the White House AI governance framework, see the official fact sheet at https://www.whitehouse.gov/briefing-room/statements-releases/2025/01/fact-sheet-factsheet-president-executive-order-safe-secure-and-trustworthy-artificial-intelligence/.
AI Regulation and the A1 Alternative
The A1 framework contrasts with comprehensive AI regulation proposals that have been debated in Congress and at federal agencies. Comprehensive AI regulation typically involves detailed risk tiers, mandatory audits, and strict penalties for noncompliance, which small businesses often view as burdensome. The A1 approach instead focuses on principles-based guidance, allowing agencies to enforce existing laws such as the Equal Credit Opportunity Act and the Fair Labor Standards Act in AI contexts. McMahon has emphasized that the SBA will not impose new AI-specific mandates on small businesses unless Congress directs otherwise. The framework also encourages agencies to use voluntary standards from organizations such as the National Institute of Standards and Technology (NIST) when developing AI policies. NIST has published the AI Risk Management Framework, which provides a voluntary structure for managing AI risks across industries. The A1 approach aligns with this voluntary framework by focusing on practical implementation rather than new legislation. For more on the NIST AI Risk Management Framework, see https://www.nist.gov/itl/ai-risk-management-framework.
The A1 alternative has drawn attention from industry groups and legal scholars who study administrative law and technology policy. Supporters argue that the A1 framework reduces regulatory uncertainty, which can deter small business investment and innovation. Critics, however, note that principles-based guidance may lead to inconsistent enforcement across different agencies and regions. The SBA has responded by committing to publish clear guidance documents and to hold public listening sessions on AI-related small business concerns. These sessions are intended to gather input from small business owners, lenders, and technology providers. The A1 framework also includes a review mechanism, allowing agencies to update guidance as technology and market conditions evolve. McMahon has stated that the SBA will report annually on the impact of AI-related policies on small business access to capital and federal contracts. For an overview of SBA small business data and reports, see https://www.sba.gov/data.