Financial institutions have embraced artificial intelligence in their compliance functions at speed, but new research from CUBE suggests that many would struggle to show a regulator how that technology is being governed.

The findings, published in CUBE’s Cost of Compliance Report 2026, point to a widening gap between adoption and accountability that could leave firms exposed as supervisory scrutiny intensifies.

According to CUBE, 59% of respondents say AI is now embedded or advanced within their core compliance processes. Yet just 34% are confident they could demonstrate their AI governance to a regulator today. That disconnect sits at the heart of this year’s report, which argues that the pace of technological and regulatory change has outstripped the governance frameworks, control infrastructure and evidence trails needed to support it.

Now in its sixteenth year, the CUBE study draws on the views of more than 2,000 professionals at manager level and above across finance and banking, insurance and professional services. Respondents were based in 11 countries spanning North America, Europe, Asia-Pacific and Australia, with interviews carried out by a third party during June and July 2026.

Beyond AI maturity, CUBE examines how regulatory change management has evolved. Timelines for implementing new rules have shortened, and the report explores why confidence in the effectiveness of change programmes has shifted as a result. For compliance leaders, the implication is clear: absorbing regulatory change quickly is no longer enough if firms cannot embed it properly.

Cost remains a central theme. CUBE identifies technology investment, AI governance and growing regulatory complexity as the leading drivers of compliance spending, with the report breaking down these pressures by region and sector.

Source link