There is one situation that makes many interviewers uncomfortable: sitting in front of someone who clearly knows far more than they do about a subject.
It may be someone specialised in artificial intelligence, cybersecurity, technology architecture, product, data, industrial automation or technical leadership. Someone who understands a discipline with a level of depth you simply do not have. And when that happens, a very human temptation appears: trying to prove that you know a lot too.
In most cases, that is a mistake.
Interviewing brilliant people is not about competing with them, nor about pretending to match their technical depth. It is about creating a conversation good enough for that person to show how they think, how they make decisions, how they learn and how they create value.
The first shift is mental. You are not examining the candidate as if you were marking a test. You are exploring the way they reason. Your job is not to catch them out, but to understand how they approach complex problems, deal with ambiguity, explain difficult concepts and influence others when they do not have all the formal levers.
Preparation matters. You do not need to become an expert in their field overnight, but you do need to do your homework. Reviewing their background, projects, publications, companies, technologies, sectors and competitive context is not about looking clever. It is about respect.
A poorly prepared interview says: “I am going to improvise with you.” A well-prepared interview says: “I value your time.”
And senior talent notices both very quickly.
It also helps to ask questions that reveal layers, rather than questions that simply invite the candidate to recite their CV. “Tell me about your experience” may work as an opener, but it rarely reveals depth.
It is far more useful to ask:
“What recent problem forced you to change your mind?”
“What technical or business decision did you defend when it was unpopular?”
“What signals tell you that a team is making a poor decision, even when the data looks good?”
“What part of your work is usually misunderstood by senior management?”
Those questions are not looking for a polished answer. They are looking for judgement. And judgement is much harder to fake than a list of responsibilities.
Another important point: be comfortable not knowing. Saying, “I do not master this area; could you explain it as if I had to make a decision on it tomorrow?” does not reduce your authority. Quite the opposite. It usually increases it.
It shows humility, curiosity and focus on what matters.
The best candidates do not expect the interviewer to know more than they do, but they do expect the interviewer to listen properly. And listening, in senior-level interviews, does not mean sitting in silence waiting for your turn to speak. It means asking good follow-up questions, connecting ideas, spotting contradictions, requesting real examples and distinguishing between theoretical knowledge and practical impact.
Because knowing a lot does not always mean creating a lot of value.
With senior profiles, the underlying question is not only “what do you know?”, but “what have you changed?”.
It is worth looking for evidence of impact: difficult decisions, improved teams, reduced risks, launched products, avoided incidents, managed mistakes and lessons that have left a mark.
There is also a common trap to avoid: confusing confidence with ego, or discretion with lack of seniority. Some brilliant people are very direct. Others are calm, cautious or even hesitant before answering.
Do not measure presence alone. Measure thinking.
This is especially relevant now. Artificial intelligence is making CVs more polished, answers more rehearsed and parts of the hiring process more automated. That does not remove the value of the interviewer; it changes it.
Precisely for that reason, high-quality human interviewing becomes more important. Because it allows you to observe judgement, nuance, coherence, depth and real capacity for impact. It allows you to see how a person thinks when they are not reading a perfect answer. It allows you to understand how they connect knowledge, experience, context and judgement.
Interviewing someone smarter than you should not feel like a threat. It should feel like an opportunity.
Your job is not to outshine the candidate.
Your job is to create the context for the candidate to truly shine.
And, along the way, to learn something.
Which is not a bad outcome either.
Sources and links consulted
AMKALIS — Own experience accumulated over 17 years of service
Insights drawn from real executive search, assessment and selection processes involving senior, technology-driven and highly specialised profiles. AMKALIS states that it has been helping companies find talent since 2009 and describes its specialisation in direct search, executive selection, middle-management recruitment and specialist technical professionals.
Full link: https://www.amkalis.com/es/
Full link: https://www.amkalis.com/es/amkalis-consultoria-de-seleccion
References: (Amkalis)
Harvard Business Review — “AI Has Broken Hiring. Here’s How to Fix It.”
Published on 8 June 2026. The article analyses how generative AI is undermining the reliability of traditional hiring signals, such as polished CVs and convincing remote interviews, and argues for new ways to assess authenticity and competence.
Full link: https://hbr.org/2026/06/ai-has-broken-hiring-heres-how-to-fix-it
Reference: (Harvard Business Review)
The Wall Street Journal — “More Companies Use ‘Backdoor’ Job References to Counter AI”
Published on 11 June 2026. The article explains how the growing use of AI in applications, CVs and interviews is pushing some companies to strengthen the validation of real capabilities through professional references and additional checks.
Full link: https://www.wsj.com/articles/more-companies-use-backdoor-job-references-to-counter-ai-fb334e28
Reference: (The Wall Street Journal)
Associated Press — “The skills people still perform better than AI, according to workplace experts”
Published on 11 June 2026. The article highlights the importance of human skills such as critical thinking, empathy, ethical judgement, relationship building and conflict resolution in a workplace increasingly influenced by AI.
Full link: https://apnews.com/article/0ce88d448f0b7a87c72b6241305a61f2
Reference: (AP News)
FM Magazine — “AI hiring saves time, but fraud risks are growing”
Published on 26 May 2026. The article explains how AI can improve efficiency in early-stage recruitment, while also increasing fraud risks, inflated applications and the need for rigorous verification.
Full link: https://www.fm-magazine.com/news/2026/may/ai-hiring-saves-time-but-fraud-risks-are-growing/
Reference: (FM Magazine)
Stanford Institute for Human-Centered Artificial Intelligence — “AI Hiring Tools Can Yield Racial Bias and Systemic Rejection”
Published on 26 May 2026. The article presents evidence of disparities in algorithmic hiring tools and reinforces the need for human oversight, critical assessment and transparency in recruitment processes.
Full link: https://hai.stanford.edu/news/ai-hiring-tools-can-yield-racial-bias-and-systemic-rejection
Reference: (Stanford HAI)
