Linda McMahon's SBA Pushes Deregulation: New Tax Rules and Safety Standards Ease Small Business Compliance Burden

Linda McMahon serves as the Administrator of the Small Business Administration, leading efforts to support entrepreneurs across the United States. In the past few days, Federal Register documents from March 16, 2026, highlight her agency's involvement in regulatory reviews that benefit small businesses. The National Highway Traffic Safety Administration's proposed rule, published in the Federal Register volume 91 number 50, certifies no significant economic impact on small entities under the Regulatory Flexibility Act, as amended by the Small Business Regulatory Enforcement Fairness Act. This certification, required for rules affecting small businesses, small organizations, and small government jurisdictions, underscores the SBA's role in ensuring regulations do not burden America's small firms. The IRS Internal Revenue Bulletin number 2026-12, also dated March 16, 2026, announces forthcoming proposed regulations under section 987 to simplify tax rules for computing taxable income, losses, and foreign currency gains. These changes aim to reduce compliance burdens for small business owners dealing with qualified business units, including options like the equity and basis pool method. Such updates directly aid small enterprises navigating complex international tax matters, aligning with McMahon's focus on cutting red tape. No major headlines detail personal decisions by McMahon in the last few days, but these federal actions reflect the SBA's ongoing push for deregulation and practical support. Listeners tuning into small business news will appreciate how these steps foster growth without overwhelming administrative hurdles. Thank you for tuning in, and please subscribe for more updates. This has been a quiet please production, for more check out quiet please dot ai. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta This content was created in partnership and with the help of Artificial Intelligence AI.