AI Will Empower Small Business Owners, If We Let It

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Issue Areas

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A Fortune 500 company has a finance team, a marketing department, an IT help desk, and someone to answer every call. A five-person plumbing shop has the owner, who is also the bookkeeper, the scheduler, the marketing department, and the person under the sink. That gap has always been the central disadvantage of running a small business in America. For the first time, artificial intelligence is closing the gap, giving roughly 35 million small firms access to back-office capabilities that used to require a corporate campus and a seven-figure budget. Yet a growing patchwork of state AI regulations is already threatening to put this opportunity out of reach.

The stakes are enormous. America’s small businesses employ 59 million people, contribute 43.5% of GDP, and have created over 70% of net new jobs since 2019. But too many owners are trapped working in their businesses rather than on them. The majority of owners work more than 50 hours a week, with a third consumed by invoicing, data entry, and chasing late payers. Roughly half don’t have an accountant or a bookkeeper. That matters because “borrower financials” is the top reason small-business loans are denied, cited in 70% of cases in the Federal Reserve’s lending study. A contractor without the AI tools to accurately track their finances will not get the loan to hire another technician.

AI changes this. Bookkeeping tools auto-categorize expenses and generate financial statements in real time. Answering services ensure no call goes to voicemail. Marketing tools help owners compete for attention they’d never otherwise capture. The Small Business & Entrepreneurship Council found that 88% of small businesses now use AI tools, with 73% calling them important to competitiveness. The SBA’s own research suggests generative AI may close the long-standing technology gap between small and large firms. Further, a recent study tracking over 7,700 small businesses found that those increasing their AI use added roughly 1.7% more staff than peers within six months, alongside meaningful revenue gains. AI is the opposite of a threat to workers. In many cases, it’s the unlock that lets a small contractor hire more of them.

This makes the current wave of state-level AI regulation so dangerous. Not because of what it intends, but because of what it produces. It is textbook regulatory capture. Regulation that raises the cost and complexity of using AI doesn’t hurt Fortune 500 companies. They have compliance departments, legal teams, and enterprise contracts. It hurts the five-person shop that subscribes to an AI bookkeeping tool for $20 a month.

Consider what’s happening already. Colorado’s SB 205 requires any company deploying a “high-risk” AI system to conduct annual impact assessments, implement risk management programs, and publish detailed disclosures, under penalty of up to $20,000 per violation. The U.S. Chamber of Commerce warned the law would hamper small business adoption of AI. Washington’s HB 2157 designates any AI used in a “consequential decision” as high-risk, with no size threshold, meaning a 5-person mom-and-pop has the same compliance burden as Microsoft. Illinois’s HB 3773 applies to any employer with even one employee and requires notice whenever AI touches any employment decision. In 2025, lawmakers across all 50 states introduced over 1,200 AI-related bills. In only the first three months of 2026, there are already over 1,200 more. 65% of small businesses are worried about the regulatory patchwork. The damage plays out in three distinct ways.

First, the patchwork creates paralyzing uncertainty. A small-business owner considering AI today cannot predict what the rules will look like in 12 months. Large corporations can assign compliance teams to track 50 state legislatures. Small businesses can’t.

Second, compliance costs get passed down in the form of higher prices. New Jersey’s S.1802 defines an “artificial intelligence company” as any entity that “sells, develops, deploys, uses, or offers for sale” AI technology. The definition is broad enough to apply to a small startup running an AI bookkeeping service, subjecting it to mandatory annual safety testing and state reporting. California’s CCPA regulations require risk assessments, cybersecurity audits, and pre-use notices for businesses using automated decision-making tools. Industry estimates suggest these requirements add roughly 17% overhead to AI system costs. Those costs get baked into subscription prices and passed along to every small business that uses the product.

Third, small businesses in heavily regulated states may end up with worse AI tools than their competitors. Fast-moving companies will prioritize product rollouts and feature updates in markets where regulatory friction is lowest. Hawaii’s S.B. 2923 would prohibit deploying any AI product in the state, from a scheduling assistant to a bookkeeping tool, without first submitting “affirmative proof establishing the product’s safety” to a new state regulatory office, even when the evidence of risk is, in the bill’s own words, “speculative.” When compliance requirements are that onerous, AI providers won’t build for that market. They’ll skip it. Large corporations can work around this through custom enterprise agreements or in-house builds. Small businesses can’t. They depend on off-the-shelf software. The result is a two-tier system where the businesses that need AI most get the worst version of it.

Not every state is getting it wrong. Arizona’s H.B.2409 would create courses through their Department of Education, such as “Artificial Intelligence for Small Business and Entrepreneurship,” to ensure citizens have knowledge of the most up-to-date tools. Oklahoma’s S.B.1375 would prepare every high school student with a foundation in computer science fundamentals, including artificial intelligence. These states understand that the response to the AI revolution should be to prepare their citizens, students, and businesses to make the best use of the new tools.

Policymakers who care about job creation and competitiveness should be clearing the runway for small-business AI adoption. At the federal level, Congress should establish a national framework to prevent a potential 50-state patchwork. It should address legitimate concerns around children’s safety and political bias, while preserving the ability of small businesses to access affordable, off-the-shelf AI tools without navigating a maze of conflicting state rules. The owner doing the books at 11 p.m. doesn’t need another compliance form. They need the tools to complete such tasks in minutes so they can grow their business and put people to work.