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AI Governance & Risk

Audit Debt: The Hidden Cost of AI Automation

Building a complex DCF model used to take 20 hours of grueling human labor.

AI just did it in 30 minutes for less than a dollar.

But before we celebrate the death of financial analysts, there's a catch.

A closer human review found a single data input error.

Because financial models are highly sensitive, that one mistake completely broke the valuation.

The trap: Audit Debt

This is the hidden trap of the automation boom: Audit Debt.

When AI creates assets at near-zero cost, it offloads the building phase but creates a massive backlog of verification work.

In enterprise data governance and corporate finance, "99% accurate" doesn't mean a B+.

It means a high-risk, multi-million dollar failure.

The new job

The professional landscape is shifting overnight.

Our job is no longer to be the builder - it's to be the ultimate auditor.

Velocity is now a commodity, but precision, context, and human oversight remain the premium.

Credit: thanks to Tavish Srivastava for the thought-provoking article that sparked this.

First shared on LinkedIn.

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Weekly thinking on data and AI governance from Ash Srivastava.