Generative AI is transforming internal audit. Tools can now summarize policies, draft reports, analyze data, and even suggest audit findings within minutes. But while AI increases speed, it does not replace judgment.

That is why critical thinking is becoming the most important skill for internal auditors.

This is especially relevant in the GenAI world. If auditors do not deeply understand the issues they are reviewing, AI-generated outputs may look sophisticated while being fundamentally shallow. AI can produce convincing language and structured analysis, but it cannot truly understand business context, organizational politics, ethics, or human behavior.

Internal auditors still need to ask:

• Does this make sense?
• What evidence supports it?
• What risks are missing?
• What assumptions are being made?

Trent Russell, my personal internal audit guru, compares AI to a very fast junior auditor: productive and helpful, but still requiring supervision and review.

As GenAI becomes increasingly effective at data analytics, transaction testing, and routine compliance checks, internal audit functions will need to evolve. Traditional control testing and data-heavy activities are exactly the areas where AI delivers the highest efficiency gains. This means internal auditors should shift more toward an advisory role – helping management make better business decisions through healthy skepticism, challenge, and independent judgment.

The real value of internal audit will no longer come from identifying exceptions in datasets, but from asking difficult questions, challenging assumptions, and helping organizations navigate uncertainty and risk.

The future belongs to auditors who use AI to enhance thinking and not to replace it. Because while AI can generate content, only humans can apply judgment.