An AI interviewer is AI that runs an early round interview by voice, video or chat. It asks a set of questions, can ask simple follow ups, and hands the recruiter a transcript and summary, sometimes with a score, so the recruiter decides who moves to a human interview.
AItopic
2 minread
2related terms
In one line
An AI that runs an early round interview by voice, video or chat, asks set questions and hands the recruiter a transcript and summary.
Candidates usually get a link and complete the interview whenever suits them, often outside working hours. The AI reads or speaks each question, listens to the answer and may probe for detail if the answer is short. Afterward the recruiter sees the full transcript, a summary of each answer and any flags, such as missing availability or a missing license. Some tools also score answers against a rubric.
AI interviewers work best for structured screening questions with clear answers: availability, location, certifications, pay expectations and basic experience. They are weaker at reading nuance, motivation and fit. Laws also apply. Illinois, for example, requires employers that use AI to analyze recorded video interviews for Illinois roles to give notice, explain how the AI works and get consent before the interview.
Why it matters to recruiters
Phone screens eat hours of recruiter time on high volume and hourly roles, and scheduling them slows the process. An AI interviewer lets every applicant be screened within hours, not days, which keeps candidates engaged. Recruiters must still review results, keep the questions job related and make sure candidates know they are talking to AI.
An example from a recruiting desk
A logistics company hiring 50 forklift drivers sends each applicant an AI voice interview link. The AI asks about certification, shift availability, warehouse experience and start date. Recruiters review summaries each morning and call the top matches. In this example the time from application to first human call drops from five days to one, and no evening screens are needed.
Tips that help
Use the same structured questions for every candidate and tie each one to the job.
Tell candidates clearly that they are speaking with AI and how results are used.
Read the transcript, not only the summary or score, before rejecting anyone.
Offer an alternative format for candidates who need an accommodation.
Mistakes to avoid
Letting the AI's score decide who is rejected without a recruiter reviewing the answers.
Using AI interviews for senior roles where candidates expect a personal conversation.
Which tools help?
A few of the AI interviewing tools in our directory. Prices are the published starting price on the date we last checked.
Reactions are mixed. Many hourly candidates like being able to interview at any time and get a fast answer. Others find it impersonal, especially for senior roles. Being upfront that it is AI, keeping it short and getting back to people quickly makes a big difference to how it feels.
Is it legal to use an AI interviewer?
Usually, but some places add rules. Illinois requires notice, an explanation and consent before AI analyzes recorded video interviews. New York City requires bias audits and notice for covered automated tools. Recording consent laws may also apply. Rules vary and change, so check current law. This is not legal advice.
What questions should an AI interviewer ask?
Stick to structured, job related questions with clear answers: availability, location, required licenses, relevant experience and pay expectations. Avoid anything touching protected traits such as age, family plans or health. Save judgment heavy questions about motivation and fit for a human interviewer.