Your next job interview could be with an AI. Here’s how to nail it
Posted 22nd January 2026 • Written by Surojit Chatterjee on fastcompany.com • • • • • •
Five years ago, an algorithm decided whether your résumé ever reached a recruiter. Now, it might be the one asking you the questions.
It can feel unsettling to imagine a machine assessing not just what you say, but how you say it: tone, cadence, word choice, even microexpressions. These patterns feed models that generate a “fit” score, determining whether you ever reach a human being.
Agentic AI allows what appears to be a genuine two-way conversation, simulating a first-round interview more realistically than the one-way video prompts of the past. Companies are drawn to it for clear reasons: speed, consistency, and scale.
But that efficiency comes with tradeoffs. Human interviewers rely on intuition, while AI systems are built on structure. They detect clarity, confidence, and organization, which are valuable traits, but they sometimes miss creativity, empathy, or cultural fit. The challenge for candidates is to make those traits visible within a digital format.
How to adapt
The good news is that with a little preparation, AI interviews can feel no more anxiety-inducing than the average first round interview. Here’s how to adapt:
Get comfortable talking to machines. The best preparation is practice with AI itself. Many candidates stumble because the experience feels unnatural. Practice with AI tools like ChatGPT or Claude so you can get used to speaking without visual feedback. The goal is not to trick the system but to sound confident and conversational when responding to something that doesn’t nod, smile, or say “good question.”
Match the language of the role. AI interviewers often compare your responses to the job description. Study it carefully and mirror the company’s phrasing and values, much like tailoring your resume to the applicant tracking system (ATS). Use measurable results to back up your claims. Structured storytelling, such as the STAR format (situation, task, action, result), performs especially well with AI models.
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