
Rillion Finance Labs report
The 2026 AI in Finance Report
Discover what 250 CFOs and finance leaders across the US really think about AI. And the gaps between adoption and true transformation.
Discover what 250 CFOs and finance leaders across the US really think about AI. And the gaps between adoption and true transformation.
AI in finance is still in its early stages, but the focus is already evolving. What started as a push for automation and time savings is now expanding toward prediction, protection, and strategic insight.
AI is changing the shape of modern finance — but not in the way many people feared. It’s not about replacing teams or cutting headcount. Instead, AI is taking the repetitive work off finance professionals’ plates and opening the door to more analysis, better control, and stronger business partnership.
AI adoption in finance has entered a new phase. The conversation has long been about automating faster, processing more transactions with fewer hands, and cutting costs. But top-performing finance teams are proving that efficiency is just the beginning.
AI adoption in finance is accelerating at an unprecedented pace. Automation and machine learning tools promise to reduce manual work, accelerate processes, and provide insights that were previously impossible to achieve at scale. Yet as CFOs and finance leaders explore these opportunities, a central tension is becoming clear: trust in AI cannot be assumed.