AI has become one of the biggest investment priorities in financial services, but enthusiasm for the technology has not necessarily translated into effective adoption.
Many institutions are still dealing with fragmented data, legacy infrastructure and disconnected tools, while the capabilities of AI continue to advance at a remarkable pace. For some, early experiments have delivered limited returns, making it harder to secure the investment and executive backing needed to go further.
The challenge, then, is no longer simply whether financial services firms want to use AI. It is whether they have the technology, governance and infrastructure needed to make it work at scale.
We recently asked industry leaders what’s holding back AI adoption in financial services and why in the second of a two-part series.
The Global State of RegTech 2026 – a report co-authored by RegTech Analyst and Parker Lawrence Research – delved into this key topic during the report. You can download the full report here.
As part of the report, vendors and institutions were challenged on a number of key areas within the FinTech market, with the central discussion point being what they see as holding back AI adoption in financial services. Read the full article.
