Episode Details

A new Greenhouse report surveyed nearly 3,000 active job seekers and found that 38% have walked away from a hiring process because it included an AI interview. The problem isn't that candidates reject AI — it's that most employers are deploying AI interviews without the transparency candidates expect. Seventy percent of candidates said they were never clearly told upfront that AI would evaluate them. Another 21% only found out once the interview had already started. That blindsiding effect creates a trust deficit that compounds at every stage — dropped candidates, damaged employer brand, and shrinking applicant pools. In this episode, we break down the five practices HR teams are using to close the trust gap: upfront disclosure, conversational design, clear evaluation criteria, human review at the final stage, and an opt-out pathway. These aren't expensive technology overhauls — they're communication and workflow changes that the teams retaining candidates are already using. The math is clear. If 38% of candidates walk away from a poorly implemented AI interview experience, you're competing for talent with a smaller pool than you think. The organizations that build trust into their AI workflows now will have a structural advantage as AI-assisted hiring becomes the norm.