Job candidates are increasingly facing automated video interviews scheduled late at night. AI-driven hiring tools promise flexibility but raise concerns about transparency, fairness, and candidate stress. New data reveals how widespread the trend has become.
When Tim Millard received an interview invitation for a media relations position earlier this year, he expected a conversation with a recruiter. Instead, he was asked to record video responses to a set of questions, alone in his living room, late in the evening. The process felt impersonal and strange, but Millard, an Atlanta-based communications and marketing professional, pressed on. “What else was I going to do at 9:30 at night?” he recalled.
Millard’s experience is becoming increasingly common as automated video interviews and AI-powered hiring platforms reshape the recruitment landscape. With flexible, on-demand scheduling, more candidates are completing interviews late at night. According to Ribbon, a voice-AI recruitment software company, 24% of its AI interviews occur between 10 pm and 2 am local time. For manufacturing sector clients, that figure rises to 35%.
Arsham Ghahramani, cofounder of Ribbon, notes that late-night interviews offer a new option for candidates who can’t spare time during the day-such as parents, hourly workers, or those juggling current jobs. “Some people are very constrained in their options of when they can interview and how they can interview,” he said.
Other platforms are seeing similar patterns. Hiring platform Greenhouse reports that 15-20% of candidates using its voice agent now schedule interviews at night. Ophir Samson, who leads Greenhouse’s voice AI division, emphasizes that AI interviews are not meant to replace human interaction but to help surface strong candidates from a flood of applications. Still, skepticism remains high among job seekers.
A recent Greenhouse survey found that nearly two-thirds of applicants have been interviewed by an AI agent, up 13 percentage points in six months. Yet, 38% of American candidates said they withdrew from a hiring process rather than participate in an AI interview, and another 12% would drop out if required to do so. Concerns center on transparency-candidates often don’t know how their video responses will be evaluated or whether missing a key phrase could lead to automatic rejection.
AI systems typically score candidates against a rubric tailored to each job. For example, Ribbon’s interviews for welders might focus on technical certifications, while sales roles could be rated for “enthusiasm.” The resulting scores and video footage are sent to recruiters, but many interviews are never reviewed by a human. Samson describes Greenhouse’s AI interview as a résumé supplement, designed to help qualified candidates avoid being overlooked in a crowded field. “It’s a tough time to be a candidate,” he said. “Your résumé goes into a black hole. You’re competing with thousands of candidates that are all using AI to write their résumés. So, good candidates can’t stand out.”
Millard’s journey reflects this reality. After a year of searching, he remains unemployed, channeling his frustration into a one-man show, After Careful Consideration, which debuted at the Atlanta Fringe Festival in May. For him, the late-night interview was less about convenience and more about enduring another impersonal step in a grueling process. “In today's job market,” Millard said, “it feels like if you are going to scream, you’re going to scream into the void. And nobody is going to hear you.”
The rise of AI-driven interviews is part of a broader shift in how technology mediates hiring. As companies increasingly rely on automated systems, questions about fairness, bias, and candidate experience are coming to the forefront. These concerns echo challenges seen in other areas of AI deployment, such as the difficulties AI agents face with B2B website pricing, as explored in an analysis of AI agents navigating complex pricing pages.
Founded in 2012, Greenhouse has grown into one of the leading hiring platforms in the United States, serving over 7,000 customers worldwide as of 2026. The company’s expansion into AI-powered recruitment tools reflects a broader industry trend, with Greenhouse reporting a 40% increase in enterprise adoption of its AI interview solutions over the past two years. This growth underscores the accelerating integration of artificial intelligence into mainstream hiring practices.
