The Rise of Late-Night AI Interviews, The New Norm For Time-Strapped Job Seekers

Six months into grinding through an unrelenting job hunt, Tim Millard received an email in January inviting him to interview for an open media relations role. Like most candidates, he assumed he would be speaking to a human recruiter. Instead, he was ordered to record himself answering a series of pre-written questions on camera—an ask that sparked the same dull pang of defeated resignation that had shadowed every step of his search.

“I figured if I wanted any shot at the job, I had no choice but to go through with it,” Millard told WIRED. That night, the Atlanta-based communications and marketing specialist straightened up his living room and set up his laptop. The original email left the interview timing open-ended, so he decided he might as well knock the task out right away. “What else was I going to do at 9:30 at night anyway?” he said.

The questions themselves were standard for the role: How would you pitch a story to national and local media? How do you build long-term working relationships with working reporters? But the entire structure of the interview felt deeply unnatural. He sat staring at his laptop, waiting for each new question to pop up on screen, with just 30 seconds to collect his thoughts before recording started. “Once the 30 seconds ran out, there was this ‘ding!’ and you got exactly two minutes to get your answer on camera,” Millard recalled. “It felt totally surreal, nothing like any real interview I’d ever done.”

By March, an automated rejection landed in his inbox. What Millard did not realize at the time was that his awkward late-night AI interview put him right at the center of a fast-growing trend that is rewriting the rules of modern job searching. As automated video interviews and artificial intelligence become a permanent fixture of corporate hiring, after-hours interviews are rising sharply alongside them.

Arsham Ghahramani, cofounder of AI recruitment tool Ribbon, says he spotted this trend almost immediately after his company launched its voice-AI hiring software. Data pulled from more than 500 companies using Ribbon’s service shows 24% of all AI interviews on the platform happen between 10 pm and 2 am local candidate time. For manufacturing clients, that figure jumps even higher, to 35%.

“This is a genuinely new flexibility for job seekers,” Ghahramani explains. Many working parents cannot carve out 30 minutes for an interview until after 10 pm, when kids are finally settled and asleep for the night. The same goes for hourly workers, or people stuck on shift at a loud factory floor or busy restaurant during standard 9-to-5 business hours. “A lot of people have really limited options for when and how they can fit an interview into their already full lives,” he says.

Ribbon is not the only hiring platform seeing this late-night surge. Major hiring software provider Greenhouse reports that roughly 15 to 20% of candidates who use its voice AI interview tool now book their slot for after hours. Ophir Samson, who leads Greenhouse’s voice AI division after the company acquired his startup in May, told WIRED he does not believe AI should ever fully replace human-led interviews. That is probably a good thing, given how skeptical most job applicants are of AI hiring tools right now.

A May survey from Greenhouse found that nearly two-thirds of all job seekers have now completed an AI-led interview, a 13 percentage point jump in just six months. But most candidates are not happy about the shift. Thirty-eight percent of U.S. job seekers told Greenhouse they have pulled out of a hiring process entirely rather than submit to an AI interview, and another 12% said they would drop out if one was required.

One of the biggest sources of stress for applicants is the total lack of clarity around how AI uses their interview footage. Can an algorithm reject them automatically just because they failed to drop a specific buzzword recruiters are searching for? While practices vary between employers and platforms, most AI and automated video interviews are scored against a custom, role-specific rubric. For example, Ghahramani says a welder applying through Ribbon will be evaluated on their knowledge of specific technical skills and required certifications, while a sales role might add a scored metric for “enthusiasm.” The AI analyzes the candidate’s footage to measure how well they match the rubric, assigns a score, and passes both the score and the full recording along to a human recruiter—though in practice, many of these recordings never get watched by a person at all.

Samson frames Greenhouse’s AI interview tool as a supplement to a candidate’s resume, not a replacement for human hiring. He argues the tool can surface high-potential candidates who would otherwise get lost in the flood of thousands of applications for a single open role. It is not a choice between AI or human interviewers, he says—it is a choice between getting ghosted entirely, or earning a shot to move on to talk to a real recruiter in the next round.

“It’s a terrible time to be a job seeker right now,” Samson says. “Your resume goes into a black hole. You’re competing with thousands of applicants all using AI to polish their resumes, so even great candidates struggle to stand out.”

That assessment lines up closely with Millard’s lived experience. A full year after losing his last job, he is still searching for full-time work. The emotional toll of the process was so heavy that it inspired him to write a one-man show about modern job searching called After Careful Consideration, which premiered at the Atlanta Fringe Festival this past May. When he sat down for his late-night AI interview back in January, he was not marveling at the convenience of interviewing whenever he wanted. He just wanted to get the miserable process over with.

“In today’s job market,” Millard says, “it feels like if you scream, you’re just screaming into the void. No one is going to hear you.”