Technical corrections only. The changes between v3 and v4 reflect the bill's procedural progression from being engrossed in the House to being referred in the Senate, including an updated attestation. There are no substantive policy changes to the legislative text.
SBA Artificial Intelligence Utilization Act of 2026
- Sponsor
- Rep. Finstad, Brad [R-MN-1]
- Committees
- Small Business and Entrepreneurship Committee (primary)
- Last action
- Jun 24, 2026
Bottom line
This bill mandates transparency and strategic planning from the Small Business Administration regarding its adoption and management of artificial intelligence and machine learning technologies.
What it actually does
This bill amends the Small Business Act to mandate that the Administrator of the Small Business Administration (SBA) submit annual reports to specific Congressional committees regarding the SBA's use of artificial intelligence and machine learning. These reports must detail the benefits and risks of such technologies, including how they might impede operations, and outline measures to effectively identify, evaluate, and manage these aspects. Additionally, the Administrator is required to provide a briefing to the committees after each report submission.
Proponents argue
Supporters argue that this legislation is crucial for ensuring the responsible and effective integration of artificial intelligence and machine learning within the Small Business Administration. They contend it will enhance oversight, mitigate potential risks such as algorithmic bias or operational inefficiencies, and ultimately lead to improved services for small businesses by leveraging technology strategically while maintaining human accountability.
Opponents contend
Critics might argue that this bill imposes an additional administrative burden on the Small Business Administration, potentially diverting valuable resources and staff time from its core mission of directly assisting small businesses. They may suggest that existing oversight mechanisms or internal agency policies are sufficient to manage AI/ML adoption without the need for new statutory reporting requirements.
The bill is exceptionally concise and straightforward, allowing for a complete understanding in a very short amount of time, making it highly accessible for evaluation.
Section 2, amending Section 10(c) of the Small Business Act
Mandated Reports and Briefings on SBA's AI/ML Use
This provision requires the SBA Administrator to submit annual reports to the House and Senate Small Business Committees. These reports must detail the SBA's use of artificial intelligence and machine learning, including an assessment of both the benefits and risks, and specific measures the Administrator can take to manage these. Key areas to address include retaining human involvement in AI-informed decisions, identifying suitable tasks for AI, selecting appropriate AI tools, and evaluating their effectiveness. Following each report, the Administrator must provide a briefing to the committees.
Supporters argue
Supporters argue this provision ensures the SBA responsibly integrates cutting-edge technology, enhancing efficiency and service delivery to small businesses while proactively managing potential pitfalls and maintaining human oversight in critical decision-making processes.
Critics contend
Critics might argue that this specific reporting requirement is overly prescriptive or potentially redundant with existing federal IT oversight, potentially burdening the SBA with administrative tasks that could divert resources from direct assistance to small businesses.
Tradeoffs
The provision navigates the tension between the desire for robust congressional oversight and strategic planning for emerging technologies like AI/ML within federal agencies, versus the potential for increased administrative burden on the SBA, which could impact its operational efficiency.
This subsection defines 'artificial intelligence' and 'machine learning' by referencing Section 5002 of the William M. (Mac) Thornberry National Defense Authorization Act for Fiscal Year 2021 (15 U.S.C. 9401).
Section 2(3)
Why it matters:This is standard legislative practice to promote consistency across federal law and avoid redundancy. It ensures that the terms 'artificial intelligence' and 'machine learning' carry the same meaning as defined in broader federal legislation, rather than creating new, potentially conflicting definitions.
Case for: Referencing existing definitions ensures consistency in how AI and ML are understood and regulated across different federal agencies and statutes, simplifying compliance and interpretation.
Case against: For a reader unfamiliar with the referenced Act, understanding the full scope of the bill requires looking up an external legal text, which can make the bill less self-contained and immediately comprehensible.
Estimated impact: Ensures a consistent legal framework for AI/ML definitions across relevant federal agencies, impacting how the SBA categorizes and reports on its technological initiatives.