The Unsettling Rise of AI in Job Interviews: What Candidates Need to Know

As artificial intelligence increasingly infiltrates every stage of the hiring process, job seekers are encountering a new source of frustration: AI-led interviews. A recent report by Greenhouse reveals that nearly two-thirds of candidates now face an AI interviewer at some point—a sharp jump from just six months ago. However, many employers fail to disclose this fact, leaving candidates blindsided and, in many cases, prompting them to abandon the application entirely. Below, we explore key questions about this trend and its implications for both workers and companies.

How common are AI interviews, and why are they spreading so quickly?

AI interviews have become remarkably common in a short time. According to Greenhouse's survey of nearly 1,200 U.S. job seekers, roughly 64% have been interviewed by AI during the hiring process—an increase of 13 percentage points in just six months. Employers turn to AI for initial screening calls and video interviews because it helps them manage a flood of applications, especially as candidates use AI tools to submit résumés en masse. The technology promises efficiency and cost savings, but its rapid adoption has outpaced transparency, leaving many workers feeling caught off guard.

Why are candidates dropping out of AI-driven hiring processes?

The survey shows that 38% of job seekers have walked away from a job after learning AI would interview them, and another 12% say they would do so if faced with such a scenario. Even in a tight labor market where switching jobs is already difficult, candidates are reluctant to engage with AI. The top reasons include discomfort with being evaluated by a machine, lack of human interaction, and a sense that the process is impersonal. Many workers also worry that AI cannot properly assess soft skills or cultural fit, making the effort feel futile from the start.

Are employers transparent about using AI in interviews?

Transparency is a major pain point. The Greenhouse survey found that roughly 70% of candidates were not informed that AI would be used to interview or evaluate them. About one in five only realized AI was involved when they started the interview itself. This lack of disclosure breeds distrust and makes candidates feel manipulated. Many workers believe they have a right to know whether they are speaking to a human or a machine, especially since AI can affect their performance and the fairness of the assessment. When companies hide their use of AI, they risk losing top talent.

What specific aspects of AI interviews cause the most frustration?

Job seekers are particularly troubled by prerecorded video interviews evaluated by AI without prior warning. A third of respondents said they removed themselves from consideration because of this. Another quarter dropped out due to objections over AI monitoring or because employers weren't upfront about AI's role. Perhaps most telling: 20% of candidates walked away from a job because they couldn't tell if they were interacting with a human or an AI. The ambiguity creates anxiety, as candidates fear being judged by flawed algorithms that may misinterpret their responses or body language.

Does AI reduce bias in hiring, according to job seekers?

Despite experts' hopes that AI could mitigate human bias, the survey indicates otherwise. More than a third of respondents reported experiencing ageism during both human and AI interviews, and over a quarter encountered bias based on race or ethnicity. AI systems often inherit biases from their training data, and candidates perceive little improvement over traditional methods. Instead of leveling the playing field, AI interviews may amplify existing disparities, especially when they lack transparency and feedback. Candidates who feel judged unfairly are less likely to trust the process or recommend the employer.

What happens after an AI interview? Do candidates advance more often?

The data suggests AI interviews are not particularly effective at moving candidates forward. Only 28% of those who completed an AI interview progressed to the next stage. More than half—51%—never heard back from the employer at all, and just 13% received an explicit rejection. This lack of communication leaves many candidates frustrated and uncertain. Compared to human-led interviews, where feedback is more common, AI-driven processes often feel like a black hole. The low advancement rate may also discourage candidates from completing future AI interviews.

How can employers improve their use of AI interviews without scaring off talent?

To avoid losing candidates, companies should prioritize transparency. Informing applicants upfront—on the job posting or in the initial communication—about AI's role in interviews can build trust. Offering the option to speak with a human for follow-ups or providing clear explanations of how AI evaluates candidates can reduce anxiety. Additionally, companies should regularly audit their AI systems for bias and ensure they respect privacy. When used thoughtfully and openly, AI can augment hiring without alienating workers. The key is to treat candidates as partners, not data points, and to keep the human element alive in the process.