When 'Nice to Have' Becomes the Whole Interview

In today's job market, the emphasis on Generative AI knowledge can be a double-edged sword.

3 min readData Science

There's a gap between what a job description says and what a hiring committee does, and this interview makes that gap painfully clear. Listing GenAI as "nice to have" while spending an hour grilling the candidate on it isn't just poor process, it's a failure of communication that wastes everyone's time. The company in question owes this candidate a clear answer, not silence, because the problem here isn't their lack of formal GenAI experience. It's the mismatch between stated expectations and actual behavior.

What this means for you as a professional is straightforward: read job descriptions as guidance, not truth. The "nice to have" label in this case was a trap, because the interviewers treated it as a core requirement. You cannot prepare for that kind of bait-and-switch. The candidate handled it honestly, they admitted what they didn't know, spoke to their personal projects, and kept the conversation productive. That's exactly the right move. But the company's response afterward, radio silence, suggests they evaluated them against a standard they never disclosed. That is not how you build trust with candidates, and it's not how you identify talent that can grow into a role.

We think the lesson sits with hiring teams, not applicants. If GenAI matters that much to your team, put it in the "required" column and design your interview questions around what you actually need. If it's a bonus, then allocate ten minutes to explore the candidate's curiosity and potential, not an hour of technical grilling. Otherwise, you risk rejecting strong candidates who simply didn't inherit the same buzzword. This person showed intellectual honesty and adaptability. Those traits matter more than a line on a resume, especially in a field that changes weekly. The company's silence suggests they might have lost sight of that.

So here's the concrete point: if you're a hiring manager, rewrite your JD to match your actual standards, and calibrate your interview time to the weight you assign each skill. If you're a candidate, keep doing exactly what this person did, be candid, show your thinking, and don't pretend to know what you don't. The company that recognizes that approach as a strength will be the one worth joining.

From Data Science

Last week I did an onsite with a company where the job description listed GenAI as “nice to have.” I don’t have GenAI on my resume, but they still spent about an hour grilling me on it.

I didn’t know a lot of the concepts they asked about, so I was upfront about that. I talked through the personal GenAI projects I’ve worked on and shared what I do know, trying to keep the conversation honest and engaging. The interviewers didn’t seem disappointed, but it’s hard to tell.

Read the original at Data Science