119-HR-5764 Corporate Impact Analysis

Summary

The bill amends Section 21 of the Small Business Act to require SBDCs to provide information, guidance, training, and outreach on AI uses (including planning for contingencies, data/IP protection, cybersecurity, regulatory compliance, and customer trust) and adopts the NAIIA statutory definition of “artificial intelligence.” It authorizes no additional appropriations (CUTGO compliance). Committee action ordered the bill to be reported (amended) on November 18, 2025, by 27–0. [1]Congress.gov — Text - H.R.5764 - 119th Congress (2025-2026): AI for Mainstreet…[6]Congress.gov — All Info - H.R.5764 - AI for Mainstreet Act (actions, cosponsors)

Economic Effects

Material impacts concentrate in three areas: SBDC resource allocation, firm-level productivity/compliance, and market-level spillovers.

• Program scope and resources: SBDCs constitute 62–63 lead centers and >900 service locations; FY2025 appropriations guidance is ~$140–143 million. Absent new funds, the AI mandate would be implemented by reprioritizing existing SBDC activities (training hours, curricula, staff time). [7]U.S. Small Business Administration — SBA Office of Small Business Development C…[8]U.S. House of Representatives / GovInfo — House Report 118-556 (FSGG Appropriat…[2]Congress.gov — Senate Report 118-206 (FSGG Appropriations, FY2025)
• Firm productivity: Controlled field evidence finds a 14% average productivity gain from generative-AI assistance for support agents (with larger gains for less-experienced workers), suggesting potential upside for many small-service firms if adoption barriers are addressed. [3]NBER — Generative AI at Work (NBER Working Paper 31161)
• SME adoption baseline: Recent cross-country survey evidence indicates 31% of SMEs already use generative AI, reporting performance improvements but also skills and legal concerns—implying demand for structured, vendor-agnostic guidance of the sort SBDCs could provide. [4]OECD — Generative AI and the SME Workforce: New Survey Evidence[9]OECD — How are SMEs using generative AI? (Full report component)
• Compliance and risk management: Aligning SBDC curricula with NIST’s AI Risk Management Framework and CISA’s secure-AI guidance can lower compliance and cyber-risk costs for small firms (e.g., data handling, model misuse, and third-party risk). [10]NIST — NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0)[11]CISA — CISA alert: How to Use AI Systems Securely (multi-agency guidance)
• Market spillovers: Greater small-firm AI use increases demand for cloud and data services; utilities in high–data center states are already planning capacity expansions largely attributable to AI demand, which could affect commercial power rates paid by small businesses. [12]Associated Press — Georgia Power seeks big capacity increase to meet data-cente…
• Macroeconomic relevance of small firms: With ~36.2 million U.S. small businesses employing ~46% of private workers, even modest per-firm productivity effects can scale materially, though effects will be heterogeneous. [13]U.S. Small Business Administration Office of Advocacy — SBA Office of Advocacy…

Social Effects

• Workforce distributional effects: IMF analysis anticipates that genAI can raise productivity but also heighten disruption and inequality without complementary policies; SBDC training may mitigate exposure for small-firm workers by improving implementation quality and upskilling. [14]International Monetary Fund — IMF Staff Discussion Note (2024): Broadening the…
• Skills and inclusivity: OECD SME survey shows performance gains but highlights skills gaps and copyright/legal concerns; structured SBDC offerings could narrow the digital divide if outreach targets underserved entrepreneurs. [4]OECD — Generative AI and the SME Workforce: New Survey Evidence
• Existing SBDC reach: SBA indicates SBDCs operate nationwide with special efforts toward disadvantaged groups, implying the bill’s AI modules can be layered onto established access channels. [7]U.S. Small Business Administration — SBA Office of Small Business Development C…
• Consumer protection externalities: The FTC has intensified enforcement against deceptive AI claims; SBDC guidance emphasizing truthful marketing and responsible use could reduce legal exposure for small firms. [15]Reuters — FTC announces crackdown on deceptive AI claims, schemes

Environmental Effects

The bill itself regulates training, not infrastructure. Environmental impacts are indirect—mediated by cloud/data-center demand from downstream AI use.

• Rising data-center load: DOE/LBNL estimates U.S. data centers used ~4.4% of U.S. electricity in 2023 and could reach ~6.7–12% by 2028; IEA projects global data-center electricity roughly doubling by 2030. Incremental SME AI workloads contribute at the margin to these trajectories. [5]U.S. Department of Energy — DOE: 2024 Report on U.S. Data Center Energy Use (LB…[16]International Energy Agency — IEA: Energy demand from AI – Energy and AI 2024
• Local grid pressure: States with concentrated data-center buildouts (e.g., GA) are planning major capacity additions largely for AI demand, with potential spillovers to ratepayers, including small businesses. [12]Associated Press — Georgia Power seeks big capacity increase to meet data-cente…
• Mitigants: Energy mix and efficiency matter; aligning SME guidance with cloud-provider efficiency practices and model-rightsizing can temper incremental footprint, though these levers sit mostly with vendors and utilities, not SBDCs. (Context from DOE/IEA.) [5]U.S. Department of Energy — DOE: 2024 Report on U.S. Data Center Energy Use (LB…[16]International Energy Agency — IEA: Energy demand from AI – Energy and AI 2024

Temporal Analysis

1. 0–12 months after enactment: SBDCs update curricula and staff training; near-term opportunity cost as hours shift from other topics. Firms that are AI-ready may capture quick wins in content, customer support, and back-office tasks; risk reduction from basic NIST/CISA-aligned practices. [10]NIST — NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0)[11]CISA — CISA alert: How to Use AI Systems Securely (multi-agency guidance)
2. 1–3 years: Diffusion to a broader SME base; measured productivity gains depend on sector and worker skills. Early missteps (e.g., poor data handling, overreliance on unvetted tools) can trigger compliance or reputational costs without strong guidance. [3]NBER — Generative AI at Work (NBER Working Paper 31161)[4]OECD — Generative AI and the SME Workforce: New Survey Evidence
3. 3–7 years: If adoption scales, aggregate demand for data services rises alongside state-level grid expansions; any pass-through energy-cost effects to SMEs will depend on regional generation mix and regulatory decisions. [12]Associated Press — Georgia Power seeks big capacity increase to meet data-cente…[5]U.S. Department of Energy — DOE: 2024 Report on U.S. Data Center Energy Use (LB…

Unintended Consequences

Risks to monitor and mitigate through implementation choices.

Key Metrics

Assessment

Overall stance: Neutral. The mandate is budget-neutral on its face and leverages existing SBDC infrastructure. Evidence suggests meaningful—but uneven—productivity upside for small firms that adopt AI, particularly when paired with risk-management practices (NIST/CISA). Environmental effects are indirect and largely mediated by cloud providers and state energy systems. Execution quality (curriculum design, targeting, vendor neutrality) will determine whether benefits exceed the opportunity costs within flat SBDC appropriations. [1]Congress.gov — Text - H.R.5764 - 119th Congress (2025-2026): AI for Mainstreet…[3]NBER — Generative AI at Work (NBER Working Paper 31161)[10]NIST — NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0)[11]CISA — CISA alert: How to Use AI Systems Securely (multi-agency guidance)[2]Congress.gov — Senate Report 118-206 (FSGG Appropriations, FY2025)

Sourcing (selected)

Primary legal text, program baselines, and empirical evidence used above.

• Congress.gov text and actions for H.R. 5764. [1]Congress.gov — Text - H.R.5764 - 119th Congress (2025-2026): AI for Mainstreet…[6]Congress.gov — All Info - H.R.5764 - AI for Mainstreet Act (actions, cosponsors)
• SBDC scale and FY2025 funding references (SBA pages; House/Senate FSGG reports). [7]U.S. Small Business Administration — SBA Office of Small Business Development C…[8]U.S. House of Representatives / GovInfo — House Report 118-556 (FSGG Appropriat…[2]Congress.gov — Senate Report 118-206 (FSGG Appropriations, FY2025)
• AI risk-management and secure-use materials (NIST AI RMF; CISA guidance). [10]NIST — NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0)[11]CISA — CISA alert: How to Use AI Systems Securely (multi-agency guidance)
• SME adoption and workforce implications (OECD 2025; IMF SDN 2024). [4]OECD — Generative AI and the SME Workforce: New Survey Evidence[14]International Monetary Fund — IMF Staff Discussion Note (2024): Broadening the…
• Productivity effects (NBER working paper on genAI at work). [3]NBER — Generative AI at Work (NBER Working Paper 31161)
• Energy and environmental context (DOE/LBNL 2024; IEA 2024; AP on Georgia Power). [5]U.S. Department of Energy — DOE: 2024 Report on U.S. Data Center Energy Use (LB…[16]International Energy Agency — IEA: Energy demand from AI – Energy and AI 2024[12]Associated Press — Georgia Power seeks big capacity increase to meet data-cente…
• Small business macro footprint (SBA Office of Advocacy 2025). [13]U.S. Small Business Administration Office of Advocacy — SBA Office of Advocacy…