What are the key predictions for CFOs in 2026?

This article highlights three main predictions for 2026 (based on 2025 research): a heightened focus on financial oversight and working capital as a primary tool for risk management; human trust, rather than technical issues, becoming the biggest barrier to AI adoption; and the evolution of AR performance metrics beyond DSO, driven by the predictive capabilities of AI.

Why is 'trust in AI' a major concern for finance leaders?

Finance leaders’ caution stems from the need for strong security, responsible AI design, and data governance. Concerns about AI’s potential for misuse (82% of leaders) and employee resistance (often due to fear of job loss or lack of skills) create a significant “trust gap” that can slow or prevent successful AI implementation.

How will AI change accounts receivable (AR) metrics?

AI is moving finance from reactive reporting to predictive forecasting. As a result, performance metrics will shift from traditional lookbacks like DSO (Days Sales Outstanding) to new, forward-looking indicators. These may include the accuracy of predictive cash flow forecasts, the rate of AI-enabled bad debt prevention, and the “Time to Trust” in machine-driven decisions.

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