"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."
AI systems now often conduct initial interviews, expanding beyond earlier resume-screening algorithms to assess speech patterns, tone, cadence, word choice, and microexpressions to compute a "fit" score that determines advancement. Agentic AI can simulate two-way conversations, offering speed, consistency, and scale. These systems reward clarity, confidence, and organization but can miss creativity, empathy, and cultural fit. Candidates can reduce anxiety through targeted practice with conversational AI and by learning to speak without visual feedback. Mirroring the job description language, using measurable results, and employing structured storytelling such as STAR improve AI performance. With preparation, AI interviews can resemble typical first-round interviews.
Read at Fast Company
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