Why and how to bring up AI in an interview

In the coming years, the vast majority of jobs will be touched by AI. They won't disappear overnight, but some classic tasks of any given role will be replaced or "augmented" by AI.

You won't be replaced by AI, but by someone who uses it.

Better to be the one doing the replacing, right? Let's see how to build and showcase, in an interview, the skill that's becoming genuinely differentiating for a growing number of roles: working well with AI.

What companies are looking for

AI as a window into your relationship with change

When a recruiter asks about AI, they aren't testing your technical skills. They want to understand your stance toward innovation. Faced with a problem, are you the kind who repeats the same methods, or the kind who explores new approaches? That distinction becomes critical when adaptability drives performance.

The professional valued today isn't the one who has mastered ChatGPT or Midjourney. It's the one who, faced with a repetitive task, asks: "How could AI help me do this better?" That active curiosity, that reflex to explore, is what companies want.

Continuous experimentation

AI tools evolve, merge or vanish so fast that becoming an expert is very hard, even full-time. The key isn't expertise, but the ability to grasp the basic concepts and adapt to change.

A candidate who explains how they tested three approaches to automate their meeting notes, even with mixed results, sends a powerful signal. They show what companies want: the ability to learn continuously, leave their comfort zone, turn new tools into an edge.

This matters more as AI seeps into every job. The salesperson qualifying leads with AI, the HR person automating a first CV pass, the analyst running trend analysis: all open a productivity gap with their peers. Companies know it and seek these proactive profiles.

Talking about it in an interview

Saying "I use ChatGPT" impresses no one. What lands is your ability to tell a structured story that shows a thoughtful approach. A simple method:

1. Context and problem. What was the situation? What were you trying to solve, where did you want to save time?
2. Thinking and process. Which tools did you identify? Why this one? How did you structure your approach? This reveals your way of working.
3. Results. Quantify when you can (time saved, quality, volume), without ignoring the qualitative (satisfaction, stress, time freed for higher-value work).
4. Lessons and iteration. What did you learn? What limits? How will you improve your approach?

This structure is no accident: it's the same logic as classic situational questions, applied to AI.

Starting from scratch

Maybe you've never really used AI beyond a chat with ChatGPT. You could be candid and say it interests you but you haven't dug in yet. I'd advise against it. AI is a powerful but incredibly accessible innovation. If you've never bothered to explore on your own, your interviewer will struggle to believe you're genuinely interested.

So how do you make a good impression from scratch?

1. Identify 2-3 concrete problems in your day-to-day: summarizing reading, preparing presentations, repetitive data analysis, writing reports.
2. Explore the solutions for each: specialized tools, approaches with ChatGPT or Claude, feedback from other professionals, known limits.
3. Experiment and document: your starting hypothesis, your approach, the measured results, the room for improvement.
4. Build your narrative. Even a two-hour test becomes a convincing demonstration if you can analyze it.

Preparing for tomorrow's world

The edge doesn't come from perfect technical mastery of the tools, impossible to maintain given how fast they move. It comes from that permanent explorer's stance, that ability to see in every problem a chance for AI augmentation.

In an interview, your relationship with AI says who you are professionally. The question goes far beyond AI: it touches your capacity to adapt in a world in constant transformation. To go further, see the 7 key skills to develop in the age of AI. And remember what every recruiter really evaluates beyond the tools.

Start today. Identify a problem, test a solution, document it. In a few weeks you'll have stories to tell and, above all, a new way of approaching your work.

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FAQ

Do I need to be an AI expert to talk about it in an interview?

No. Tools move too fast to aim for expertise. What counts is your exploring stance and 2-3 concrete experiments you can analyze, with their results and limits.

How do I talk about AI if I've never really used it?

Don't just say it interests you. Identify 2-3 problems in your day-to-day, test an AI solution on each, document the approach and the results. A few hours are enough to have a real story to tell.

What is a recruiter really looking for behind an AI question?

Your relationship with change, not your technical skills. Are you the kind who waits for change to be forced on them, or who explores it actively? It's a proxy for your adaptability.