AI Job Interviews Drive Candidates Away Due to Lack of Transparency, Study Finds

AI Interviews Surge in Popularity, Sparking Candidate Backlash

Artificial intelligence has embedded itself into nearly every stage of the hiring process, including interviews—a traditionally human-driven task. While companies have long used AI to filter resumes and applications, many now deploy it for screening calls and initial interviews. A recent report from the hiring platform Greenhouse highlights the rapid adoption of AI interviews, revealing that 65% of job seekers have encountered AI during the hiring process. This marks a 13-percentage-point increase in just six months.

However, candidates are not embracing this trend. In a Greenhouse survey of 1,200 U.S. job seekers, 38% admitted to dropping out of a hiring process after discovering they were being interviewed by AI. An additional 12% stated they would withdraw if faced with an AI interview. These decisions come at a time when the job market remains challenging, with low hiring rates and persistent layoffs driven by AI adoption.

Transparency Issues Fuel Candidate Frustration

Workers are not opposed to AI in hiring per se. Many now use AI tools to enhance their resumes and apply to multiple jobs quickly, contributing to a surge in applications that employers must sift through. However, candidates expect clear communication about AI's role in the process. The Greenhouse survey found that 70% of job seekers were not informed that AI would be used to interview or assess them. Alarmingly, 20% only learned of AI's involvement when they began the interview itself.

Pre-recorded video interviews evaluated by AI were a major point of contention. A third of respondents withdrew from the hiring process after discovering AI would assess their responses. Over a quarter dropped out due to concerns about AI monitoring or because employers failed to disclose AI's role upfront. Perhaps most striking, 20% of candidates exited a job opportunity because they could not determine whether they were interacting with a human or an AI system.

AI Interviews Fail to Reduce Bias, Survey Finds

Proponents of AI interviews argue that the technology could reduce human bias and improve hiring fairness. However, the Greenhouse survey suggests otherwise. Over a third of respondents reported experiencing ageism during interviews with both humans and AI. More than a quarter felt they faced bias based on race or ethnicity, regardless of the interviewer's nature. Only 28% of candidates who completed AI interviews advanced to the next stage of the hiring process. Over half received no response at all, and just 13% were explicitly rejected.

Key Takeaways for Employers

• Disclose AI usage upfront: 70% of job seekers were unaware AI would be involved in their interview process.
• Address transparency concerns: 20% of candidates withdrew due to uncertainty about interacting with AI.
• Evaluate AI's effectiveness: Only 28% of candidates who completed AI interviews advanced, with over half receiving no follow-up.
• Monitor bias in AI tools: Ageism and racial bias were reported in both human and AI-led interviews.

"The rapid adoption of AI in hiring has outpaced candidates' trust in the process. Without transparency and clear communication, employers risk alienating top talent."

— Greenhouse Survey Insights