AI in 2026: CFOs predict transformation, not just efficiency gains

Core Insights - CFOs anticipate that AI will transition from experimentation to a proven, enterprise-wide impact in finance by 2026, emphasizing the need for strong governance, trusted data, and human judgment [1] - AI is expected to be a core enabler of finance operations, automating processes and delivering real-time insights, thus transforming the role of CFOs from gatekeepers to transformational architects [2][3] Predictions for 2026 - Enterprises will demand measurable gains in speed, resilience, and decision quality from AI, moving away from pilots to full integration into capital planning and risk management [2] - AI will help finance teams move beyond automation to real-time insights and scenario modeling, enabling better risk anticipation and capital allocation [2][3] - CFOs will need to enact more discipline around technology investments, requiring clear ties between AI and business outcomes [3] AI's Role in Finance - AI will enable finance teams to run multiple M&A scenarios, predict customer churn, and stress-test capital allocation decisions, shifting the focus from reporting past events to shaping future outcomes [2][3] - The integration of AI into ERP systems will enhance forecasting, cash visibility, and compliance, reducing manual work and improving auditability [3] - AI literacy will become critical for CFOs, as nearly every business decision will involve AI, necessitating an understanding of potential investments and use cases [3] Challenges and Opportunities - Many CFOs are currently hesitant to adopt AI broadly due to market saturation and unclear value propositions, indicating a need for consolidation before widespread implementation [3] - The future of finance will rely on predictive analytics and competitive benchmarking to anticipate market shifts and optimize decision-making [3]