What happens when the people supervising AI no longer know how to make the decision without it?

What happens when the people supervising AI no longer know how to make a decision without it?

I’ve spent over two decades building credit risk teams across India, the UK, and Southeast Asia. The professionals who became exceptional leaders didn't have the slickest tools.

They were the ones who had made enough mistakes, early enough, to develop genuine, un-scorecarded judgment.

Today, we are facing a silent crisis.

Young professionals are entering a world where decisions are made before independent reasoning is applied. BCG calls it "Cognitive Debt." Researchers call it "Agency Decay."

The entry point where human expertise was historically built is quietly being retired.

I've put together a visual breakdown of what this means for CROs, Chief Data Officers, and Board Risk Committees—and why the greatest risk in an AI-driven credit world isn't model failure, but the lack of humans capable of spotting it.

👉 Swipe through the deck below to see: - Why the junior finance labor market is shrinking (-6%). - The difference between AI literacy and the "capacity to challenge." - The steps risk leaders must take to preserve institutional judgment. To my fellow CROs and risk leaders: how are you solving the "expertise gap" in your teams today? Let's discuss. #CreditRisk #AIGovernance #RiskLeadership #ModelRisk #Banking2026