What Candidates Really Think About AI Interviews

When candidates talk about AI interviews, the first thing most of them say is some version of: "I didn't love it, but it was better than I expected."

That's not a ringing endorsement. But it's also not the horror story that some recruiting critics predicted when async AI interviews started spreading. The reality — based on surveys, user feedback collected across multiple platforms, and conversations with candidates who have gone through the process — is messier and more interesting than either "this is the future of hiring" or "this is dehumanizing."

Candidates have real concerns. They also have real advantages they don't always expect. And the experience varies enormously based on one factor that has nothing to do with the technology: whether the company treats the async round as a genuine step in a respectful process, or as a filter to avoid dealing with candidates at all.

What Candidates Say They Like

The schedule flexibility is genuinely valued. The most consistent positive finding across candidate surveys is relief at not having to take a personal call or leave their desk during a Tuesday afternoon at their current job. A mid-level marketing manager in Delhi described it: "I was still employed when I was interviewing. Being able to do it at 9pm on a Sunday without anyone knowing was actually a huge relief."

No small talk anxiety. A meaningful share of candidates — particularly those who identify as introverted — report that the absence of small talk reduces their stress. The first five minutes of a live phone screen ("how's your day going? any trouble finding the office? the weather in Bangalore has been crazy...") exists to make candidates comfortable but often does the opposite. Async skips it.

They can re-record. Most async platforms allow candidates to retake responses before submitting. Many candidates cite this as a significant positive. "I don't always answer my best on the first try," said one candidate who completed an async interview for a product role. "Knowing I could redo it if I was really off made me less nervous, even though I didn't actually redo most of them."

What Candidates Say They Don't Like

Talking to no one feels strange. This is the most common complaint, and it's worth taking seriously. Recording a response to a camera, with no human on the other end, violates the social expectation of what an interview is. Candidates describe it as "uncanny," "awkward," and "hard to gauge whether I'm doing okay." The absence of feedback cues — a nod, a follow-up question, a raised eyebrow — makes calibration impossible.

They don't know what the AI is looking for. When a human interviewer asks "tell me about a time you handled a difficult client," the candidate can read the room and adjust their answer in real time. With AI scoring, they're guessing at criteria. Several candidates described the anxiety of not knowing whether to be concise or detailed, whether to tell one strong story or give two examples, whether the AI cares about vocabulary or content.

They feel like the company doesn't want to talk to them. This is the sharpest concern, and it's partly about perception, partly about reality. "It felt like they couldn't be bothered to have a human talk to me until I'd passed a test," said a candidate who withdrew from a process after completing an async round and then waiting two weeks with no response. The issue wasn't the async interview — it was the silence after.

The async interview itself rarely damages candidate experience. The silence, the delays, and the generic rejections that come after it do.

The Experience Varies by How Companies Use It

Candidates who report positive async interview experiences almost universally describe a company that communicated clearly: what the process is, how responses will be evaluated, what happens next, and by when.

Candidates who report negative experiences almost universally describe the opposite: a vague invite, no explanation of criteria, and then silence for weeks.

A software engineer in Hyderabad who had gone through five async interviews in a six-month job search put it simply: "Two of them felt like real companies were actually curious about me. Three of them felt like I was submitting a form that would never be read."

The technology is the same. The difference is entirely in how companies frame and follow through on the process.

What This Means for Recruiters

If you're using or considering async AI interviews, candidates are not asking you to go back to phone screens. They're asking for three things:

Clarity before they record. Tell them exactly what you're looking for, how long responses should be, how they'll be evaluated, and what happens if they advance. Uncertainty is the primary driver of negative feelings about the format.

Speed after they submit. The candidate has completed a genuine task. They've thought about your questions, set up their camera, and given you real information about themselves. They deserve a response — even a "we're still reviewing" message — within five business days.

A human touch eventually. No candidate wants the entire process to be AI. They want AI to make the process faster and fairer, not to replace the human element entirely. The message should be: we use async interviews to make the process respectful of everyone's time, and then we get on a call with everyone who moves forward.

When companies communicate that clearly, most candidates respond positively. When they don't, the technology gets the blame for a communication failure.

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