What Candidates Really Think About AI Interviews in 2026

The first interviewer most candidates meet in 2026 isn't a person. It's an AI — and for many of them, that first impression is going badly.

According to the Greenhouse 2026 Candidate AI Interview Report, based on a survey of 2,950 job seekers across the US, UK, Ireland, Germany and Australia, 63% of US job seekers have now experienced an AI interview — up 13 percentage points in just six months. Adoption has crossed the mainstream threshold. But trust has not followed.

For hiring teams using AI screening tools, this is the gap that matters. Not whether candidates accept AI in principle — most do — but whether they feel the process was fair, transparent and worth completing. Right now, a significant share don't.

The Transparency Gap Is Driving Candidates Away

The single biggest failure in AI interviewing today isn't the technology. It's the communication around it.

Among US candidates who experienced AI evaluation, 70% say they were never clearly told AI would be evaluating them before their most recent AI interview. One in five only discovered it once the interview had already started. In the same survey, 80% of US candidates reported that employer AI policies are vague, rare or completely absent.

The consequence is measurable dropout. 38% of US candidates have walked away from a hiring process specifically because it included an AI interview, and another 12% say they would if required. The top reasons aren't fear of AI itself — they're process failures: pre-recorded video scored by AI with no human present, no disclosure of how AI would be used, and AI monitoring that candidates weren't told about.

There's also a silence problem at the end of the funnel. 51% of US candidates who completed an AI interview never received an outcome — 38% heard nothing at all, and another 13% are still waiting. That kind of close doesn't just affect the candidate who walked away. It affects every person in their network who asks how the job search is going.

Source: Greenhouse 2026 Candidate AI Interview Report

What Candidates Actually Want (It's Not Less AI)

Here's what surprises most hiring leaders when they first see this data: only 19% of US candidates want less AI in the hiring process. The majority want the same amount or more — they just want it deployed differently.

The most common preferences are AI at the same level with more transparency (21%) and more AI with stronger human oversight at key decision points (22%). In other words, candidates have largely accepted the direction of travel. What they're asking for is accountability and clarity, not a return to the old way.

The specific asks are concrete. 46% of US candidates want the option to request a human interview instead. 44% want upfront disclosure that AI is part of the process. 39% want a clear explanation of what the AI is actually measuring. And 57% believe companies should be legally required to disclose when AI is evaluating them.

For HR teams, this is an actionable checklist, not a philosophical debate. The changes candidates want are mostly process and communication decisions — not technology ones.

AI Is Reflecting Bias, Not Eliminating It

One of the more uncomfortable findings in the report: candidates perceive nearly identical rates of bias from AI interviewers and human interviewers.

Age bias was flagged by 36% of US candidates for both AI and human interviewers. Race or ethnicity bias was flagged by 27% for both. Candidates reported similar rates across gender, employment gaps, accent and other factors.

This pattern makes sense once you understand how most AI interview tools are introduced. When AI is layered on top of hiring processes that already have vague or inconsistent evaluation criteria, it doesn't smooth out those inconsistencies — it scales them. The same biases appear, just faster and with less visibility into why a decision was made.

Only 21% of US candidates believe most employers are using AI responsibly and transparently. That's a significant trust deficit, and it shapes how candidates interpret every part of the process — not just the AI-specific moments.

The fix isn't abandoning AI. It's building structured evaluation criteria before deploying it. AI can only perform as well as the system behind it.

How to Run AI Interviews That Candidates Actually Respect

The good news is that the path forward is clear. When AI interviews go well, 38% of US candidates come away with a more positive impression of the employer. The experience itself isn't the problem — the implementation is.

Here's what the data points to:

Disclose early. Put AI disclosure in the job description and the interview prep email — not at the start of the interview itself. 70% of candidates weren't told. Fix that and you immediately differentiate.
Explain the criteria. 39% of candidates want to know what the AI is measuring. A one-paragraph summary of the skills being evaluated is enough. It helps candidates prepare and signals that your process is designed around something consistent.
Keep humans visible. 38% of candidates want confirmation that a person reviews AI output before decisions are made. If that's true of your process, say so explicitly. It builds confidence.
Offer an alternative. 46% of candidates want the option to request a human interview. Most won't use it. But offering it signals respect for the candidate's experience.
Close the loop. 51% of candidates who completed an AI interview never got an outcome. Automated follow-ups are not optional. Silence after a completed interview is one of the most damaging things you can do to your employer brand.

The Bottom Line

AI screening is no longer a differentiator — it's infrastructure. The question isn't whether your hiring process uses it. It's whether candidates leave the experience feeling informed, respected and clear on what happens next.

For teams building structured, transparent screening processes, the Greenhouse data is affirming: when AI is done right, candidates respond positively. The gap between where most employers are and where candidates want them to be isn't enormous. But it is visible — and candidates are increasingly choosing companies based on how it feels to apply, not just on whether they get the job.