A report on AI-screened hiring describes how trust problems with automated interviewers are driving candidates away. Greenhouse says about 63% of U.S. job seekers have been interviewed by AI, and nearly 38% have already withdrawn from hiring processes that included AI interviews, with another 12% saying they would drop out if AI were mandatory. While not a campus-specific incident, higher education workforces and student-career pipelines increasingly rely on similar automated screening and scheduling systems. The findings indicate that AI tools used to “filter the flood” can create perceived dehumanization, slow responses, and inconsistent outcomes, harming candidate experience. For universities, the development matters as institutions evaluate hiring practices for admissions and student services, internships, and campus employment systems where AI-enabled screening is becoming more common.