There is one interview question quietly tripping up strong candidates right now, and it sounds completely harmless: "So, what are your thoughts on AI?"

Most people hear an opinion question. So they give an opinion. That is the mistake. This question is not testing what you think about artificial intelligence. It is testing how you work.

I'm Jan Nordh, founder of Nordh Executive Search. I've spent 19 years placing senior and executive talent in cybersecurity, enterprise software, AI infrastructure and data centers across the DACH region and the Nordics. Before that came 25 years on the other side of the table — enterprise sales, sales leadership, country management, launching US technology vendors into Europe. I've sat in both chairs of this conversation more times than I can count.

Treat it like a discovery call, not a debate

Anyone in sales already knows how to handle this. Picture a discovery call. The buyer asks something deliberately broad: "So what's your take on security these days?" A weak seller hears the keyword and fires off the standard pitch. A good seller asks back. Narrows it down. Finds out what the buyer actually wants to know before answering.

The AI question works exactly the same way. Rush in and you lose. Clarify first and you win.

Why hiring managers ask about AI at all

They are not after a clever opinion about the future of humanity. This is not a debate club. What they are listening for is narrower and much more practical: Are you adaptable? Are you curious? Are you actually using these tools, or only talking about them? And do you bring enough judgement of your own to know when to trust the machine and when not to?

The reason it shows up in almost every process right now sits one level above the hiring manager. In the boardroom, the same question circles month after month: how do we make our teams AI-ready without putting quality, data security and customer trust at risk? So when someone asks you about AI in an interview, they are checking whether you are the kind of person they want to build a team around for the next three years.

The two traps most candidates fall into

Trap one: defensiveness. The word AI comes up and the mind jumps straight to "oh no, do they know I used ChatGPT on my CV?" Then comes the justification — "well, I do use AI for applications, but I always check the work." Don't. Nobody asked about your CV. You are already in the interview. That ship has sailed.

Trap two: the pure opinion. "I think AI is really exciting." "AI is going to change everything." "I'm not too worried, my role still needs real human thinking." None of these is wrong. They are just empty. An opinion is not evidence, and you know from every sales conversation you've ever had that evidence is what counts.

Remember the other side isn't only excited about AI. They are also nervous — about accuracy, confidentiality, data protection, customer trust. Which is why "I use AI for everything" is not the flex people think it is. To a trained ear it translates to: I have no boundaries, I'm not checking the quality of my own work, and I might upload confidential customer data somewhere without thinking twice.

How to answer: position, proof, limitation

Three building blocks, in this order. Position, proof, limitation.

Position is your calm opening. Something like: "I see AI as a tool, not a threat. Used well, it makes good people more effective." You are not panicking and you are not overselling.

Proof is where most candidates are weak. You need a concrete example from your own work. In sales that does not mean "I have it write my emails." It means: I use AI to speed up account research before a first meeting, to structure call notes, to prepare clean follow-ups. My weekly reporting used to take three hours. Now it takes forty minutes. That is the moment your answer flips — from talking about AI to showing it.

Limitation sounds like weakness and is actually strength. "Of course I sense-check everything, AI is only as good as the person directing it." Or: "Customer data and confidential deal information never go into a tool unfiltered." That one sentence makes you bigger, not smaller. The most impressive answer is never "AI is amazing and I use it for everything." It is "I understand the value and I understand the risk."

Tailor the answer to your level

Early in your sales career, don't pretend you have it all figured out. Say honestly that you are building AI into your preparation right now — research, structuring your arguments — and that you understand the limits.

As a senior AE or a sales leader, your own usage is no longer the point. The hiring manager is listening for whether you can bring a whole team along without quality or customer trust slipping. Same question, two very different expectations.

A real example from a final round

I recently had a very strong account executive in a process — cybersecurity vendor, final round, DACH. Clean technically, solid numbers, easy to like in the room. The VP of Sales asked exactly that question: so, what are your thoughts on AI in sales?

Nervous the way everyone is in a final round, he slid straight into trap one. He started explaining that he'd used ChatGPT for his application materials but of course checked everything himself. For a full minute he defended something nobody had asked about.

In a parallel process, another candidate got the same question. She said, roughly: "Can I quickly check — do you mean how I use AI in my pipeline work today, or how I think it's changing enterprise sales?" The VP clarified. She answered in three sentences: position, one concrete example from her account preparation, one clear limitation around customer data.

The VP called me afterwards. His words: "The second one didn't talk about AI. She showed me how she thinks." She got the offer. The tools were never the point. Judgement was.

Three things to take into your next interview

• Clarify before you answer. One clarifying question buys you time and signals that you think before you speak.

• Position, proof, limitation — and the proof has to come from your real work, ideally with a number attached.

• Sell judgement, not tool enthusiasm. AI can summarise and draft. It cannot read the politics of a buying center, and it does not know when a technically correct answer lands badly with a client. That is your edge. Play it instead of apologising for your age or your level of tool knowledge.

Prepare exactly three things before any interview: one sentence on how you genuinely think about AI, one concrete example of how you use it, one limitation that shows your judgement.

What the question is really measuring

You'll meet this question more and more often — in interviews and in customer conversations. In the end it is not testing whether you like AI. It is testing whether, in a world full of tools, you are still the one who keeps ownership. Understand that and you never need to memorise a script.

If you are on the other side of the table, the same question works as a filter. I've written separately on what a candidate's AI answer reveals to a hiring manager.

FAQ

What is the best way to answer "what are your thoughts on AI?" in an interview?

Ask one clarifying question first — whether they mean your day-to-day usage or your view on where the market is heading. Then answer in three parts: your position on AI as a tool, one concrete proof point from your own work with a number in it, and one limitation showing you know where the risks sit.

Why do hiring managers ask about AI in job interviews?

They are testing adaptability, curiosity and judgement — not opinion. Boards are pushing every team to become AI-ready without losing quality, data security or customer trust, so hiring managers screen for people who use these tools with boundaries rather than people who either avoid them or use them uncritically.

Is it bad to say I use AI for everything?

Yes. To an experienced hiring manager it signals weak boundaries and a risk of mishandling confidential customer or deal data. Show selective, judgement-led use instead.

Should I admit that I use AI in my job application?

Don't volunteer it unprompted. Once you are in the interview, the application has already done its job. If asked directly, be straightforward and move quickly to how you use AI in your actual work, and where you deliberately don't.

About Nordh Executive Search

Nordh Executive Search places senior and executive talent in cybersecurity, enterprise software, AI infrastructure and data centers across the DACH region and the Nordics. If you have questions about your own positioning, reach out on LinkedIn or at nordh.de.