An AI interview is a job interview where technology handles part of the interviewing process instead of requiring a recruiter or hiring manager to conduct every conversation live. Depending on the system, candidates may respond to questions by voice, video, or text, and the resulting answers can be organized or evaluated for the hiring team to review.
The important distinction is that an AI interview doesn't have to mean AI makes the hiring decision. It can be used earlier in the process to collect structured candidate information consistently, while recruiters and hiring managers remain responsible for reviewing that information and deciding who should move forward.
How does an AI interview work?
The process usually starts with the hiring team defining the role, the questions candidates should answer, and the criteria that matter for evaluation. Candidates then receive access to the interview and complete it without needing the recruiter to be present at the same time.
Once the interview is completed, the system can organize the candidate's responses and, depending on the platform, evaluate them against predefined criteria. The hiring team can then review the interview information alongside the candidate's application before deciding what happens next.
What happens during the candidate's interview?
From the candidate's perspective, the biggest difference is that there may not be a human interviewer sitting on the other side of the conversation. Instead, the AI interviewer presents questions and gives the candidate an opportunity to respond.
The questions themselves should still be relevant to the role. A customer-facing position might include a scenario involving a difficult customer, while an operations role might ask how the candidate would prioritize competing problems. The purpose is to gather evidence about how someone communicates, reasons, and approaches situations they could realistically encounter at work.
What does an AI interview evaluate?
What an AI interview evaluates should depend on the role and the criteria established by the hiring team. Relevant experience may matter for one position, while communication, judgment, problem-solving, or role-specific knowledge may matter more for another.
This is why the evaluation criteria are important. AI shouldn't simply decide that one candidate “sounds better” than another. A structured process should connect questions to defined criteria so the resulting evaluation has a clear relationship to what the hiring team actually needs from the role.
Why use AI instead of conducting every interview live?
The practical challenge with live first-round interviews is capacity. Every additional candidate requires another block of recruiter time, and both sides need to find a suitable calendar slot before the conversation can happen. When candidate volume grows, that can limit how many people the team can realistically interview.
An AI interview separates the candidate's availability from the recruiter's availability. Candidates can complete the interview when they're ready, while the hiring team reviews the resulting information afterward. That can make it possible to gather interview evidence from more candidates without requiring recruiters to personally conduct every initial conversation.
Does AI replace the recruiter?
It doesn't need to. There is an important difference between conducting a repeatable part of the interview process and making the hiring decision.
AI can help ask consistent questions, collect responses, and organize candidate information against criteria defined for the role. Recruiters and hiring managers can then use that information when deciding who deserves a deeper conversation, what they want to explore next, and ultimately who they want to hire. The technology supports the evaluation process; the hiring team remains responsible for the decision.
The takeaway
An AI interview is best understood as another way to conduct and structure part of the hiring process. It can give candidates more flexibility around when they interview and give hiring teams a consistent way to gather information without scheduling every initial conversation individually.
What matters is how the technology is used. Clear questions, relevant evaluation criteria, consistent treatment across candidates, and human review all matter more than simply adding AI to an interview. Used well, an AI interview can give recruiters more evidence to work with while leaving the decisions that require human judgment with the hiring team.
Hirona is an AI Interview Agent built for interviews at scale. Candidates interview when they're ready, while hiring teams receive structured interview results to review and remain in control of who moves forward. See how it works →