CFOs Struggle to Scale AI Beyond Pilots Despite High Expectations
Event summary
- BearingPoint's 2026 study reveals 75% of CFOs expect AI to have high impact by 2030, but 73% describe current adoption as minimal or basic.
- Only 9% of CFOs report AI scaling in line with expectations, with 74% citing data quality as the biggest obstacle.
- Leading organizations are redesigning operating models to embed AI in processes, governance, and decision-making.
- Study based on 2025 survey of 200+ finance leaders and 30 in-depth interviews across Europe and the U.S.
The big picture
The widening gap between AI ambition and execution in finance reflects broader challenges in digital transformation across industries. While AI promises to elevate finance from reporting to strategic partner, structural barriers like data fragmentation and governance gaps prevent scaling. Successful adoption will require fundamental operating model redesign, not just technological implementation. This shift marks a transition from isolated pilots to AI as a core capability in finance functions.
What we're watching
- Data Governance
- Whether organizations can overcome data quality challenges to enable enterprise-wide AI adoption.
- Operating Model Redesign
- The pace at which leading firms embed AI into core finance processes and decision-making frameworks.
- Talent Transformation
- How finance professionals adapt to interpret and validate AI-generated outputs as their roles evolve.
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