The State of AI in Finance: Exploring the AI Trust Gap

The State of AI in Finance examines how finance teams are adopting artificial intelligence and highlights a growing “AI trust gap” that is shaping the pace of adoption. Based on a survey of 500 finance professionals across the US, UK, and Canada, the study reveals strong optimism about AI’s potential to improve accuracy, efficiency, and decision-making, alongside persistent concerns around data quality, security, integration, and transparency. While AI is already delivering measurable ROI through automation of reporting, fraud detection, and analytics, many organizations struggle to operationalize trust. The research concludes that the future of finance depends not just on innovation, but on governance, training, and visibility that allow teams to confidently scale AI usage.

• Finance professionals see AI as essential to future work
• Trust, transparency, and data quality remain key barriers
• AI delivers clear efficiency and decision-making benefits
• Operationalizing trust is critical for long-term adoption