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AI Interview Statistics: Adoption, Disclosure, and Candidate Impact

A source-scoped review of current AI interview statistics, including candidate exposure, disclosure, withdrawal, trust, and employer use.

Interview Pilot Editorial Team

3 min read

A human interview conversation passes through a transparent AI layer with clear disclosure and oversight controls.

A source-scoped review of current AI interview statistics, including candidate exposure, disclosure, withdrawal, trust, and employer use.

What the newest candidate survey found

Greenhouse surveyed 2,950 job seekers across the United States, United Kingdom, Ireland, Germany, and Australia for its 2026 report. In the U.S. portion, 63% said they had experienced an AI interview. This is a candidate-reported vendor survey result, not a measure of every U.S. employer.

Among U.S. respondents who had experienced AI evaluation, 70% said AI was not clearly disclosed before their most recent AI interview. Greenhouse also reported that 38% of U.S. candidates had withdrawn from a process because it included an AI interview. The full population and wording matter when citing the Greenhouse candidate AI interview report.

Employer tools tell a different story

Survale’s 2025 Candidate Experience research covered more than 66,000 candidate surveys across 110 participating organizations worldwide. It reported that 17% of participating employers used conversational AI to schedule interviews and that external-database sourcing through virtual assistants rose from 22% in 2024 to 36% in 2025.

Those figures describe practices among participating employers, not the share of all employers. Survale also found AI or automated-screening complaints among leading negative comment themes. See the 2025 CandE fact sheet for the program’s stated scope.

Do not merge the adoption rates

The 63% Greenhouse figure concerns U.S. job seekers who said they experienced an AI interview. The 17% Survale figure concerns participating employers using conversational AI for scheduling. They measure different technologies, respondents, and denominators, so averaging or comparing them as one adoption trend would be misleading.

The defensible conclusion is narrower: AI is visible in both candidate evaluation and recruiting operations, while disclosure and perceived impersonality remain material experience risks.

What candidates can do

Ask what format will be used, whether recording or automated evaluation is involved, what competencies are being assessed, and who reviews the result. For recorded or live video, the video interview guide covers equipment and delivery preparation.

AI does not remove the need for evidence-based answers. Build concise stories using the behavioral interview guide, then practice without memorizing a script. If an accommodation or human alternative is necessary, request it early through the employer’s stated process.

How to read future updates

Future comparisons should use the same question, population, markets, and collection method. A higher percentage can reflect broader adoption, a different sample, a looser definition of AI, or increased candidate awareness. Trend claims require more than two differently designed surveys.

Topics

AI interviews

hiring technology

candidate experience

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