The Role of AI Assistants in Modern Interviews

Interview-time AI assistance has moved from a fringe behavior to a tool that mainstream candidates quietly use. The conversation among hiring teams has shifted from 'does anyone do this?' to 'how do we design loops that still produce signal?' Both sides are still figuring out where the line is.

What AI assistance is genuinely good for

• Catching the question accurately when accents or audio quality are difficult.
• Surfacing your own résumé details you'd otherwise blank on under pressure.
• Reminding you of a relevant story from your prep notes.
• Drafting structure for a long answer when you've lost the thread.

What it isn't good for

Reading model output verbatim is the fastest way to get caught. The cadence is wrong, the specifics are wrong, and you can't answer the follow-up. Treating AI as a teleprompter actively hurts you. Treating it as a structured prompt that surfaces what you already know is closer to what works.

The ethical line, candidly

Companies are entitled to design loops that produce real signal about a real human. Candidates are entitled to bring their preparation, their notes, and their tools — the same way they'd bring them to any actual job. The line most people land on, including most hiring managers we talk to, is: assistance is fine; impersonation is not.

Where the loop is going

Expect interviews to lean harder on artifacts (code reviews, design docs, scoped trial work) and on conversations the candidate cannot fake their way through (deep dives on past projects, opinions on product trade-offs, debate on architectural decisions). The loops that survive will be the ones where authenticity is the easiest path.