Artificial intelligence is not a future trend in business lending. It is happening now, on both sides of the transaction. Lenders are using AI to underwrite loans faster and more accurately. Borrowers who adopt AI tools are seeing better approval odds and more favorable terms. And the data shows this shift is accelerating in 2026.
This article covers how AI is changing the lending process, what it means for you as a borrower, and how to position your business to benefit.
AI Adoption by Small Businesses: The Numbers
According to the Federal Reserve's 2025 Small Business Credit Survey, 46% of small firms reported that their business or employees currently use AI, with an additional 15% planning to adopt it within 12 months. That means over 60% of small businesses will be AI-active by early 2027.
Other surveys show even higher adoption:
- The U.S. Chamber of Commerce found 58% of small businesses using generative AI in 2025, up from 40% in 2024.
- A Q4 2025 small business cash flow report found 56% of respondents using AI, with 87% of those reporting positive business impact.
What Small Businesses Are Using AI For
Among businesses currently using AI, the applications break down as follows:
- Writing and marketing: 83% (content creation, email campaigns, social media)
- Individual productivity: 61% (task automation, scheduling, data entry)
- Planning and analysis: 51% (financial modeling, demand forecasting, market research)
The adoption level varies by integration depth. About 50% of AI-using firms are still experimenting, 44% have partially integrated AI into their workflows, and only 7% are fully integrated. This means there is significant room for businesses to deepen their AI usage and capture more value.
The Gap Is Closing
In early 2024, large businesses used AI at 1.8 times the rate of small businesses (11.1% vs. 6.3%). By August 2025, that gap had nearly closed: 10.5% for large firms vs. 8.8% for small firms. The SBA Office of Advocacy titled their September 2025 research spotlight "AI in Business: Small Firms Closing In." Small businesses are adopting AI at a faster rate than large firms, and the gap will likely disappear entirely in 2026.
How Lenders Are Using AI
The impact on the lender side is equally significant. AI is transforming every stage of the lending process, from application intake to underwriting to portfolio management.
Faster Underwriting
Traditional underwriting requires a loan officer to manually review financial statements, tax returns, bank statements, and credit reports. AI can analyze the same data in minutes, flagging risks and opportunities that a human reviewer might miss. This is why online lenders can deliver decisions in hours while banks take weeks.
The financial industry is backing this shift with serious investment. By 2027, the financial sector is expected to invest $97 billion in AI, up from $35 billion in 2023, a 29% compound annual growth rate. In lending specifically, 83% of lenders plan to increase their AI budgets in 2026, and 67% have already completed or are implementing generative AI strategies.
More Accurate Risk Assessment
AI underwriting models consider a broader set of data points than traditional credit scoring. Instead of relying primarily on FICO scores and financial statements, AI models can analyze:
- Bank transaction patterns: Revenue consistency, seasonal trends, customer concentration
- Industry benchmarks: How your business compares to similar companies in your sector
- Cash flow dynamics: Daily balance trends, payment timing, overdraft frequency
- Growth trajectory: Revenue growth rate, expanding customer base, hiring patterns
The result is measurable. Lenders using AI underwriting report approval rate increases of 18-32% alongside bad-debt reductions of more than 50%. They are approving more loans while losing less money. This is not a marginal improvement; it is a fundamental shift in how credit decisions are made.
Expanding Access to Underserved Markets
A 2025 U.S. Census Bureau working paper on AI in small business lending found that banks using AI lend significantly more to distant borrowers about whom they have less traditional information. These AI-adopting banks also experienced lower default rates on those loans and charged lower interest rates.
The effect was most pronounced in lower-income areas and communities with fewer bank branches. AI is effectively reducing the geographic and demographic barriers to credit access by replacing relationship-dependent lending with data-driven evaluation.
Why Lenders Like AI-Adopting Businesses
Here is the part that directly affects your borrowing prospects: lenders view AI adoption as a positive signal about your business.
AI Adoption Signals Operational Sophistication
A business that uses AI for financial planning, customer analysis, or operational efficiency is demonstrating that it invests in tools that improve performance. Lenders interpret this as a proxy for management quality. Strong management is one of the most important factors in loan performance, and AI adoption is increasingly seen as evidence of it.
AI-Using Businesses Show Better Metrics
Among small businesses using AI, 87% report positive business impact. The most common benefits are improved efficiency, better customer engagement, and more informed decision-making. These translate directly into the financial metrics lenders care about: higher revenue, better margins, and more consistent cash flow.
Lenders Are More Willing to Fund AI-Related Growth
Banks are increasingly willing to lend to businesses that are investing in AI capabilities, whether that means purchasing AI tools, hiring AI-skilled employees, or integrating AI into their products and services. The Census Bureau research found that AI adoption in banking rose from 14% in 2017 to 43% by the end of the study period, meaning more banks understand and value AI investment.
What This Means for Borrowers in 2026
1. Faster Approvals Are the New Normal
AI-driven underwriting means that many loan decisions that used to take 2-3 weeks can now happen in 24-48 hours. This is already standard among online lenders and is spreading to banks and SBA-preferred lenders. If you are applying with a lender that still takes 3 weeks to underwrite, you may be working with a lender that has not invested in modern infrastructure.
2. Your Data Tells a Richer Story
AI underwriting means your bank statements, transaction history, and revenue patterns matter more than ever. A business with a 620 FICO but 18 months of growing, consistent revenue and clean bank statements may get approved by an AI model that a traditional credit officer would have declined. The flip side: inconsistent deposits, frequent overdrafts, and erratic spending patterns are also more visible.
3. AI Usage Can Strengthen Your Application
While no lender explicitly asks "do you use AI?" on their application, the effects of AI adoption show up in your financials. Businesses using AI for planning and analysis tend to have cleaner books, better projections, and more articulate business plans. If you are using AI to improve your operations, the results will be reflected in the metrics lenders evaluate.
4. Apply Through AI-Powered Channels
Lending marketplaces that use AI matching can connect you to the right lender faster than applying to individual banks. The matching algorithms consider your full profile (credit, revenue, industry, time in business, loan purpose) and route your application to lenders whose AI underwriting models are most likely to approve it.
How to Position Your Business
- Keep your bank statements clean. AI underwriting scrutinizes transaction patterns. Minimize overdrafts, maintain consistent deposits, and avoid large unexplained transfers.
- Use AI tools for financial management. AI-powered bookkeeping, forecasting, and expense management tools produce cleaner data, which makes your application stronger.
- Prepare better projections. If your loan request includes a forward-looking component (expansion, equipment purchase, hiring), AI-assisted financial modeling produces more credible projections than back-of-napkin estimates.
- Apply through modern channels. Lenders and marketplaces with AI-driven matching will evaluate your full profile, not just your credit score. This often surfaces better options than a traditional single-bank application.
Halford Capital uses modern matching technology to connect your application to the best-fit lender from our network. One 3-minute application, no credit impact, and multiple options to compare. Start your application.