There are two stories about AI in job interviews right now. One is loud and alarming; the other is quiet and genuinely useful. Both are true, and telling them apart matters.

The loud story is cheating. As virtual interviews became the norm, some candidates started using AI off-camera to feed themselves answers in real time, and companies reacted hard. According to Gartner research reported by Computerworld, 72.4% of recruiting leaders now conduct interviews in person, largely to combat exactly this. Google has restricted AI tools during virtual interviews; others have added verification steps. That is AI misused during the interview, and it is rightly being shut down.

The quiet story is the opposite, and it is where the real value is: AI used before the interview, as a practice partner. This is not cheating. It is the oldest advice in interviewing — rehearse — finally made available on demand.

Why rehearsal matters more than candidates admit

A technical interview is a high-stakes performance under time pressure, and performance is noisy. Even strong engineers have off days. The single most reliable way to reduce that variance is the same as for any performance: practice in realistic conditions until the format stops being the thing you’re fighting.

The problem has always been access. Good mock interviews required a willing, qualified partner and careful scheduling, so most candidates walked in under-rehearsed, meeting the real format for the first time when it counted. That is the gap AI practice tools close.

There is early evidence they work. A 2025 study, “Virtual Interviewers, Real Results,” had participants use an AI-driven mock interview with whiteboarding tasks and real-time feedback; they reported “increased confidence and improved articulation of problem-solving decisions,” and the authors described such tools as promising, “scalable and realistic preparation” for building candidate confidence. The study is honest about the limits — conversational flow still needs work — but the direction is clear: rehearsing with an AI interviewer measurably changes how prepared a candidate feels and how clearly they can reason out loud.

Why AI is unusually well-suited to this

Interview practice has three requirements that a human partner struggles to meet all at once: availability, repetition, and a judgment-free setting. AI meets all three.

It is available at 2 a.m. the night before. It offers effectively unlimited reps, so a candidate can run the same system-design prompt five different ways. And crucially, it is private — one of the most effective ways to reduce interview anxiety is to rehearse in a low-pressure environment where you are not being judged by a person whose opinion determines your salary. The freedom to fumble, restart, and think aloud badly before doing it well is exactly what deliberate practice requires. It is why so many engineers now practise with an AI mock interviewer that pushes back the way a real interviewer would, and treat a private space to rehearse as a normal part of preparation rather than a luxury.

What good practice actually looks like

The tool is not magic; how you use it decides the outcome. Practising badly — grinding the same kind of problem while never rehearsing the conversation — reproduces the mistake most candidates make.

Good practice means rehearsing the parts that get scored: thinking out loud clearly, stating assumptions, naming trade-offs, and recovering gracefully when the interviewer pushes on your weakest point. It means deliberately working through failure modes, because that is where follow-up questions live. And it means practising the specific format you will face — system design, code review, an AI-assisted round — rather than a generic problem set. Candidates who want a structured prep path get more from practice when the sequence is deliberate, not random.

The line between practice and cheating

The distinction is simple and worth stating plainly. Using AI to prepare — to rehearse, get feedback, and build the reasoning muscles the interview tests — is legitimate, encouraged, and increasingly expected. Using AI to answer for you during the actual interview is cheating, and companies are getting very good at catching it.

The irony is that the candidates most tempted to cheat are usually the ones who practised least. Rehearse enough and you don’t need to cheat, because the format holds no surprises.

The bottom line

The headlines are about AI breaking interviews. The more important shift is AI helping candidates prepare for them — turning the single best piece of interview advice, rehearse under realistic conditions, from a scheduling problem into something anyone can do on demand. The engineers who lean into that will walk in calmer, clearer, and better than their unrehearsed competition. That was always the point of practice. AI just made it available to everyone.

Sources: “Virtual Interviewers, Real Results,” arXiv (2025);

Computerworld, “To counter AI cheating, companies bring back in-person job interviews”.