Artificial intelligence has changed what “prepared” looks like in a job interview. Today, candidates can use generative tools to sharpen narratives, structure examples, and rehearse answers with remarkable efficiency.

But a quieter shift is now showing up in live conversations. In some interviews, AI isn’t just shaping preparation — it’s influencing responses in real time. For senior leaders, this introduces a more consequential question than whether tools are being used at all:
What are you actually evaluating when part of the thinking may be happening off-screen?
Harvard Business Review recently explored this tension in “Are You Interviewing a Candidate — or Their AI?”, noting how generative tools can blur the line between a person’s true capability and a polished digital assist. The implication for leaders is not to become more suspicious, but to become more intentional about what interviews are designed to reveal.
The Tells Aren’t Technical — They’re Behavioral
When executives talk about AI in interviews, the conversation often turns to detection. In practice, however, what raises concern is rarely technical.
What surfaces instead is a pattern:
- Answers that sound polished but oddly impersonal
- Unnatural pacing or hesitation
- Attention drifting away from the interaction itself
- Limited engagement with follow-up questions
None of these signals prove AI use. What they do suggest is more important: the candidate may be delivering information rather than thinking in the moment.
At senior levels, where judgment, adaptability, and presence matter as much as experience, that distinction is critical.
What Leaders Are Noticing in the Wild
Beyond formal research, informal conversations among leaders suggest how common this has already become.
Across Reddit and LinkedIn discussions, interviewers describe moments where a candidate’s content was strong, but the interaction felt disconnected. One leader recalled noticing a candidate repeatedly glance down and to the side while responding.
As they described it:
“Poor guy was wearing glasses, and I could see him reading a ChatGPT screen — looking down and to the side.”
What stood out wasn’t the use of AI itself. It was how quickly the exchange stopped feeling like a conversation and started feeling like a relay. The candidate wasn’t adjusting or exploring ideas — they were transmitting them.
Another leader shared a different experience. A candidate handled initial questions smoothly, but stalled when asked to apply the same idea to a slightly different context. After a long pause, the response came back polished — but misaligned.
The interviewer summarized it simply:
“It felt like they were waiting for something to load instead of thinking.”
These moments point to a simple truth: presence is difficult to outsource. When attention is divided, especially in leadership interviews, it shows.
Why AI-Assisted Answers Often Undermine Credibility
From a candidate’s perspective, using AI during an interview can feel like risk management. From a leader’s perspective, it often has the opposite effect.
AI-assisted answers tend to:
- Smooth out nuance
- Default to safe, consensus language
- Avoid tension, uncertainty, or tradeoffs
Yet those very elements are where leadership capability lives. Executives are hired not for perfect answers, but for how they reason under pressure, weigh competing priorities, and adapt when the conversation shifts.
Research from MIT Sloan Management Review reinforces this risk, noting that while generative AI can improve interview performance, it can also lead interviewers to mistakenly attribute depth of judgment and decision-making capability where it does not yet exist.
“Polished answers may reflect preparation — not internalized expertise.” — MIT Sloan Management Review
Questions That Reveal What AI Can’t
Rather than trying to catch candidates using tools, many leaders are finding it more effective to change the nature of the conversation.
Certain questions consistently surface real thinking:
- Ask for Process, Not Conclusions
“Walk me through how you approached that decision.”
“What alternatives did you consider — and why did you discard them?”
These questions require sequencing, reflection, and ownership — areas where generic responses quickly thin out.
- Remove Black-and-White Framing
Leadership lives in ambiguity. Questions like:
- “What would make this approach fail?”
- “What information would change your recommendation?”
force candidates to reason, not recite.
- Introduce Visual or Interactive Thinking
Inviting candidates to sketch an idea, map a decision, or walk through a framework — even on a virtual whiteboard — makes real-time synthesis unavoidable.
This mirrors the “show your work” principle. Leaders reveal themselves in how they think, not just what they conclude.
Why Group Interviews Surface More Signal
Another shift many executives are making: moving away from purely one-on-one interviews.
Group interviews make it harder to rely on rehearsed responses and easier to observe:
- How candidates read the room
- How they adapt their language across perspectives
- How they respond when challenged
Some leadership teams even report noticing strong overlap between AI-generated bullet points and candidate responses — a reminder that generative tools often converge on similar structures, even when phrased differently.
Addressing AI Directly, Without Drama
Some organizations are choosing clarity over inference.
A simple statement — “AI tools aren’t permitted during this stage of the interview. Are you using any right now?” — removes ambiguity and reinforces expectations without accusation.
The point is not enforcement. It’s alignment.
The Larger Leadership Question
AI is now part of the professional landscape. That will not change.
What must change is how leaders evaluate readiness, judgment, and presence. Interviews built to reward polish will increasingly miss what matters most.
For executives, the takeaway is clear:
- Strong leadership shows up in real-time thinking
- Presence matters as much as preparation
- Tools can support performance, but they cannot replace discernment
Those capabilities still have to be built, not generated.
A Smarter Way to Prepare for High-Stakes Interviews
For leaders navigating interviews in an AI-shaped landscape, preparation matters more — not less. But the most effective preparation doesn’t come from scripting answers. It comes from clarifying how you think, how you decide, and how you show up under pressure.
JMA coaches work with leaders to prepare for high-stakes interviews by strengthening judgment, presence, and real-time thinking — the qualities no tool can replicate.
