Implication 5: High expectations for AI supervisory competence drive up costs of compliance.

FSI regulators are now expecting firms to build and demonstrate real AI competency, not just bolt AI tools onto existing processes. As supervisory agencies delve deeper into how AI influences credit decisions, pricing, fraud detection, claims handling, and risk modeling, the compliance bar is rising, moving from mere documentation to technical fluency—and that shift is going to carry a price tag. 

Regulators want to understand how models work, how data is sourced, how bias is mitigated, and how decisions can be explained. Doing all this—and more--requires new skill sets—data scientists who understand regulatory frameworks, legal and compliance officers who are smart enough to interrogate model behavior, and engineers who can operationalize governance controls. The competition for that talent is intense and hiring it is really pricey. 

As well as staffing, institutions will need to invest in governance, governance, and more governance.  This includes versioning systems, monitoring tools, explainability frameworks, audit‑ready documentation pipelines, and automated controls that track data lineage and model drift. FSIs that bought it rather than built it and relied on third‑party AI solutions face high costs, because regulators expect banks and insurers to be validating vendor models rather than simply trust them, a challenge for smaller FSIs. 

And it’s not just FSIs themselves: this shift is equally significant for the regulators themselves. Regulatory agencies have to build up their own AI expertise and will need to hire or train examiners with data science and machine‑learning backgrounds; update examination procedures; and develop new testing frameworks. The bottom line is that the regulators must modernize even faster than the FSIs they oversee. That will be an investment that will shape how aggressively and consistently AI oversight is applied, and will be an even more acute issue for smaller US state insurance regulators. 

As their technical capacity grows, oversight will become more detailed, more consistent, more demanding, and more costly, and raising the compliance bar across the banking and insurance industries—and their data providers.