AI is reshaping financial services, but not all capabilities translate to regulated workflows. This feature examines where control and domain expertise still matter most.

As private equity firms and allocators race to adopt generative AI tools, a growing body of evidence suggests that the workflows most resistant to automation are precisely the ones that carry the most regulatory and operational risk.

Industry practitioners argue that governed data infrastructure, not model sophistication, remains the binding constraint on AI adoption across compliance, reporting, and investor communications functions.