Middle market uncertainty puts cash flow and AI execution in focus

U.S. middle market uncertainty is showing up in performance targets, revenue expectations and finance priorities, according to PYMNTS Intelligence. The firm said 26.7% of middle-market companies were operating under a high level of uncertainty in June, while its 2026 Certainty Project found that 82% of high-uncertainty firms missed their 2025 performance goals.

The data point to a widening gap among midsized companies. PYMNTS Intelligence said firms facing high uncertainty also reported weaker revenue and margins, and 35% of those companies expect revenue to decline this year. The pressures cited include higher operating costs, uneven demand and less predictable payment timing.

What is time to cash for middle market firms?

Time to cash measures how quickly a company turns sales into usable cash. For middle-market firms, it depends on how efficiently they collect receivables, manage inventory, process payments and avoid trapping liquidity inside operating workflows.

That measure is becoming a more prominent test of resilience. In its report “Time to Cash: A New Measure of Business Resilience,” PYMNTS Intelligence said 77.9% of chief financial officers viewed improving the cash flow cycle as “very or extremely important” to strategy in the year ahead.

The pressure is sharper for companies tied to physical goods. PYMNTS Intelligence data from March showed that 27% of heads of payments said their firms faced high uncertainty about the business environment, rising to 47% among goods companies. Firms under high uncertainty reported costs equal to 6.2% of revenue, more than twice the average, according to PYMNTS Intelligence.

Working capital tools are part of the response. Separate PYMNTS Intelligence data found that four in five middle-market firms using external working capital solutions freed an average of $19 million last year. The funds were directed toward supplier relationships and growth, rather than left idle as reserves, according to the research.

How is AI changing middle-market finance?

Artificial intelligence is emerging as a test of execution for finance teams, rather than a broad technology experiment. The business case rests on whether AI can improve forecasting, speed decisions and reduce manual work in areas such as working capital management.

Ben Ellis, senior vice president and global head of Large and Middle Markets at Visa Commercial Solutions, told PYMNTS in March that the latest Working Capital Index showed a sharp difference among lower-performing companies that adopted AI for working capital management. In that group, cash flow unpredictability fell from 68% to 17%, according to Ellis.

PYMNTS Intelligence said the firms most likely to see measurable returns are those applying AI to a defined operating problem, rather than treating it as a general productivity initiative. The research also pointed to data quality, consistent processes and management support as factors in whether a deployment produces a financial result.

The findings describe a middle market that is splitting by capability. Companies with tighter liquidity controls, clearer operating data and targeted technology spending have more room to keep investing when economic signals are mixed. Firms with slower cash cycles, weaker data systems and unclear returns on technology spending have a narrower margin for error, even if they remain profitable.

For banks, FinTechs, technology vendors and investors, the research suggests that midsized companies require tools matched to their business model and constraints. A goods producer with inventory exposure, for example, faces a different cash conversion problem than a services firm with fewer physical working-capital demands.

This story draws on original reporting from PYMNTS.