If you want to understand where the small business economy is heading, follow the credit.
This week’s Commercial Pulse Report highlights a growing divergence in how businesses access and manage capital, driven in large part by the accelerating adoption of artificial intelligence. While AI has become a central capability across industries, its impact is not evenly distributed. Instead, it is creating measurable differences in credit behavior, capital access, and financial discipline.
For risk leaders, this shift is not theoretical. It is already visible in the data—and it has meaningful implications for portfolio strategy, underwriting, and forward-looking risk assessment.
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The Emergence of High-Impact AI Industries
Experian’s analysis identifies three sectors where AI is expected to have the most significant and measurable impact on operations and strategy:
These “high-impact” industries are not just early adopters of AI—they are integrating it deeply into decisioning, operations, and customer engagement. As a result, they are beginning to behave differently from a credit perspective.
Credit Demand Is Accelerating—Faster Than the Market
One of the clearest signals is in credit demand.
Businesses operating in high-impact AI industries are seeking commercial credit at a significantly higher rate than their peers. As of January 2026, these businesses generated over 25% more credit inquiries per business than those in other industries—and the gap has been widening over the past two years.
This is not simply a cyclical increase. It reflects structural change.
AI-enabled businesses are investing—whether in infrastructure, talent, or technology integration. That investment requires capital, and lenders are seeing increased demand from these sectors as they scale.
For risk teams, this raises an important distinction: higher inquiry volume does not necessarily signal elevated risk—it may indicate growth-oriented behavior in sectors with strong forward momentum.
Greater Access to Credit—Backed by Lender Confidence
The demand side is only part of the story. Businesses in these industries are also receiving more credit—and in larger amounts.
- They hold more commercial credit accounts than businesses in other sectors
- The gap in commercial trades has widened from a slight disadvantage three years ago to a 3.5% advantage today
- Average credit limits are now approximately 15.8% higher for these businesses
These trends point to increasing lender confidence.
From a risk perspective, this suggests that lenders are not only responding to demand but are proactively allocating capital toward sectors perceived as having stronger growth prospects and operational resilience.
This creates a reinforcing cycle:
Higher AI adoption → stronger performance signals → increased credit access → further investment
The Most Important Insight: Higher Credit, Lower Utilization
While increased borrowing activity and higher credit limits are notable, the most important finding lies in how these businesses are managing that credit.
Despite greater access to capital, businesses in high-impact AI industries are:
- Carrying lower average balances
- Maintaining lower utilization rates
- Avoiding overextension
This is a critical signal.
In traditional risk frameworks, increased credit exposure is often associated with higher leverage and potential stress. However, in this case, the opposite pattern is emerging.
These businesses are accessing more credit—but using it more efficiently.
Lower utilization, particularly in the context of higher available limits, suggests:
- Strong liquidity management
- Strategic capital deployment
- Capacity buffers that can absorb volatility
From a credit risk standpoint, this reflects disciplined financial behavior rather than aggressive leverage.
Risk Performance Remains Stable
Perhaps the most compelling aspect of the data is what is not happening.
Despite:
- Higher credit inquiries
- More accounts
- Larger credit limits
…there is no corresponding increase in risk.
Credit performance metrics, including delinquency rates and risk scores, remain broadly comparable between high-impact AI industries and other sectors.
This challenges a common assumption that increased credit usage inherently leads to higher default risk.
Instead, the data suggests that AI adoption may be enhancing operational efficiency, decision-making, and financial management—allowing businesses to scale without proportionally increasing risk.
Implications for Risk Strategy
For financial institutions and risk leaders, these findings have several important implications.
- Traditional Signals May Need Recalibration
Higher credit demand and increased exposure in certain sectors should not automatically be interpreted as negative signals. Context matters—particularly when growth is paired with disciplined utilization. - Industry Segmentation Is Becoming More Critical
AI adoption is creating divergence across industries. Treating all sectors uniformly may obscure emerging opportunities—or risks. - Credit Models Should Incorporate Behavioral Nuance
Utilization patterns, credit mix, and inquiry behavior may carry different implications in AI-driven sectors. Models should evolve to reflect these differences. - Growth and Risk Are Not Always Opposing Forces
In high-impact AI industries, growth is being achieved without a proportional increase in risk. This suggests the potential for more optimized risk-return strategies.
A Structural Shift—Not a Temporary Trend
Artificial intelligence is no longer an emerging technology—it is a core driver of business transformation.
What makes this moment particularly important is not just the speed of adoption, but the measurable impact it is having on financial behavior.
The divergence between AI-driven industries and the broader market is already evident—and it is widening.
For risk leaders, the takeaway is clear:
The future of credit risk will not be defined solely by macroeconomic conditions, but increasingly by how businesses leverage technology to operate, grow, and manage capital.
Understanding that distinction—and acting on it—will be critical to staying ahead.
Learn more
- ✔ Visit our Commercial Insights Hub for in-depth reports and expert analysis.
- ✔ Subscribe to our YouTube channel for regular updates on small business trends.
- ✔ Connect with your Experian account team to explore how data-driven insights can help your business grow.
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The U.S. small business landscape is undergoing a structural transformation — and commercial lenders may need to rethink what a “small business borrower” looks like. According to Experian’s May 26th, 2026 Commercial Pulse Report, new business formations remain at historically elevated levels, averaging approximately 450,000 per month since the pandemic. That pace represents a 54% increase compared to pre-pandemic averages from 2018 and 2019. Watch the Commercial Pulse Update According to Experian’s latest Commercial Pulse Report, new business formations remain at historically elevated levels, averaging approximately 450,000 per month since the pandemic. That pace represents a 54% increase compared to pre-pandemic averages from 2018 and 2019. But perhaps more importantly, the composition of those businesses has changed dramatically. In early 2026, approximately 93% of newly formed businesses were sole proprietorships, up from 85% in 2018. Many of these businesses have no employees, limited operating history, and different borrowing behaviors than the traditional small businesses lenders historically underwrote. That shift is creating a fundamentally different commercial credit environment. A Different Kind of Small Business Owner Historically, many small business lending models were designed around businesses with employees, established operations, recurring revenue streams, and longer credit histories. Today’s wave of new businesses often looks very different. Many newer firms are being launched by individuals pursuing consulting work, freelance opportunities, side businesses, creator-economy income streams, or post-retirement self-employment. These businesses may operate leaner, carry lower fixed costs, and rely more heavily on revolving credit products rather than traditional financing structures. In many cases, the business owner and the business itself are financially intertwined. That evolution matters because underwriting a sole proprietor is not the same as underwriting a mature operating company. The rise in sole proprietorships is being driven by several long-term labor force and demographic trends now reshaping the U.S. economy. Demographic Shifts Are Driving Entrepreneurship One of the most important forces behind the surge in sole proprietorships is the aging U.S. population. By 2050, individuals aged 55 and older are projected to represent nearly 40% of the total U.S. population. At the same time, Americans are increasingly working later in life. Labor force participation among older workers has steadily increased over the past two decades, while participation among younger workers has trended lower. Retirement itself is also evolving. Many retirees are no longer fully exiting the workforce. Instead, they are remaining economically active through part-time consulting, contract work, side businesses, and self-employment arrangements. According to research highlighted in Experian’s report, 59% of workers expect to continue working during retirement, while 61% of recent retirees express interest in continued employment. These trends are contributing to a growing segment of “microbusinesses” — businesses with few or no employees operating primarily around the skills, experience, or services of an individual owner. At the same time, broader workplace dynamics are also influencing entrepreneurial activity. Employee Engagement Is Falling According to Gallup, employee engagement in the U.S. and Canada declined to 31% in 2025, down from post-pandemic highs. Gallup estimates that low engagement costs the global economy nearly $10 trillion in lost productivity. Younger workers in particular appear increasingly affected by workplace stress, burnout, and changing expectations around flexibility and career mobility. As a result, more individuals may be pursuing alternative work arrangements, independent income streams, or self-employment opportunities. The side-hustle economy continues to expand as well. A recent PYMNTS study found that nearly 20% of workers engaged in regular side work during the previous six months. Collectively, these labor force dynamics are reshaping not only how Americans work, but also how small businesses are formed, financed, and evaluated from a credit perspective. Commercial Credit Usage Looks Different Experian data shows meaningful differences in how smaller and larger businesses use commercial credit. Smaller businesses and sole proprietors rely more heavily on commercial credit cards, while larger firms tend to utilize a broader mix of leases, lines of credit, and term loans. Businesses with four or fewer employees received average commercial card credit lines of roughly $8,900 in 2025. By comparison, businesses with more than 100 employees averaged approximately $29,500 in new commercial card credit lines. Even when loan origination rates appear similar across business sizes, loan amounts differ substantially. Businesses with fewer than four employees averaged approximately $119,000 in term loan originations, while larger businesses averaged closer to $268,000. Risk performance differs as well. Larger firms generally continue to demonstrate lower delinquency rates and stronger commercial credit scores, reflecting greater operational scale, more established financial histories, and broader access to capital. Why Risk Models May Need to Evolve For lenders, these shifts present both opportunity and complexity. The surge in new business formation creates potential growth opportunities across commercial credit markets. However, many of today’s borrowers may not fit historical underwriting assumptions. Traditional business risk models often relied heavily on factors associated with mature operating businesses — payroll size, years in business, trade depth, and established commercial borrowing history. Today’s newer firms may instead require a more blended view of risk that incorporates both commercial and consumer-level behaviors, cash flow dynamics, and alternative indicators of financial stability. As sole proprietors and microbusinesses continue to account for a growing share of the small business economy, lenders may need to remain agile in balancing portfolio growth with disciplined underwriting and risk management strategies. The definition of “small business” is evolving — and commercial risk models may need to evolve alongside it. Learn more ✔ Visit our Commercial Insights Hub for in-depth reports and expert analysis. ✔ Subscribe to our YouTube channel for regular updates on small business trends. ✔ Connect with your Experian account team to explore how data-driven insights can help your business grow. Download the Commercial Pulse Report Visit Commercial Insights Hub Related Posts
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