Four Ways AI Can Mislead Even the Best Leaders

No one is immune to AI risks, not even CEOs. But when the person in the top job places too much trust in flawed AI output, the consequences can ripple through the organization by influencing strategy, capital allocation, workforce plans, customer decisions, and even the pace of transformation.

The following four risks are especially important for leaders to guard against:

1. Mistaking literacy for expertise

AI can make unfamiliar subjects feel suddenly accessible, but that does not mean the CEO has mastered the underlying complexity. A polished answer can hide weak assumptions, missing context, or a low-confidence conclusion. Sycophantic AI can also make validation feel like evidence. Indeed, one of our first studies on generative AI revealed that users tend to trust the technology in areas where it is less competent.

2. Mistaking speed for better judgment

AI can compress the path from question to answer, but CEOs still need time to absorb, challenge, and decide. Otherwise, the same tools that help them cut through information overload can also make bad synthesis feel authoritative. The danger is not that AI has an answer. It is that AI always has an answer. And no human should blindly trust a know-it-all.

3. Letting AI narrow the conversation

The same tools, the same data, and the same prompts can reinforce the same assumptions. The result is groupthink, albeit groupthink that’s faster, cleaner, and harder to spot. Generative AI’s generally uniform output, for example, can reduce a group’s diversity of thought by 41%, our research has found. That makes human dissent crucial. CEOs and their top team must always challenge the AI-assisted answer, ask what is missing, and whether the recommendation reflects reality or just the logic of the model.

4. Creating cognitive overload

AI can help people do more work faster, but it does not expand their cognitive capacity. Humans still have to review, judge, correct, reconcile, and decide what to trust. And by generating more information, perspectives, and synthesized insights, AI can increase cognitive overload, eroding decision quality and leading to worse outcomes.

The risk is real. In our study of 1,488 full-time US workers, 14% of AI users reported “AI brain fry”—mental fatigue from excessive AI use or oversight beyond their cognitive capacity—with rates ranging from about 6% in legal professions to roughly 26% in marketing.