11% of UK workers would withdraw from AI-run first interviews

Almost 7 in 10 UK workers (69.1%) say they are uneasy about a first-stage job interview conducted by AI rather than a person, according to a Careerminds UK survey of 1,000 full-time UK workers. The finding lands as adoption accelerates: the CIPD reports AI is now used in recruitment by 44% of organisations, and Greenhouse found 47% of UK job seekers have already been interviewed by AI.

For employers, the numbers translate directly into funnel loss. One in nine workers (11.2%) would withdraw their application if told the first interview was with AI — 5.5% definitely and 5.7% probably. For a role attracting 500 applications, that equals roughly 56 candidates walking away before anyone has spoken to them.

How deep does the discomfort run?

Fewer than one in three respondents (30.9%) would continue with an AI interview without hesitation. That leaves the majority of candidates entering the process with reservations about the employer before a single human interaction takes place.

The survey breaks the reluctant majority into distinct segments:

• 33.4% would proceed but feel uncomfortable — meaning many candidates start hiring already uneasy about the employer.
• 24.5% say their willingness would depend on the role or the salary.
• 11.2% would pull out entirely rather than face an AI interviewer.

Taken together, roughly two-thirds of the candidate pool attaches some form of hesitation to an AI-led first interview. The 24.5% whose tolerance depends on pay and position suggests the burden falls unevenly — employers competing for talent on factors beyond salary may have less room to automate the earliest touchpoint.

The context matters for people-process decisions. AI adoption in recruitment has grown as employers manage rising application volumes, and the CIPD's 44% figure shows the technology has moved from experiment to mainstream practice. The Greenhouse data — 47% of UK job seekers already interviewed by AI — indicates candidate exposure is nearly as widespread as employer deployment.

But the Careerminds findings suggest the technology intended to widen the talent pool may be narrowing it at the very first stage. Candidates who withdraw, or who proceed while uncomfortable, represent both lost pipelines and reputational exposure at the top of the funnel.

What should employers change?

Amanda Augustine, CPCC and resident careers expert at Careerminds UK, framed the problem as a transparency and design issue rather than a verdict on the technology itself.

"AI can help HR teams manage high application volumes, but it shouldn't come at the cost of the candidate experience," Augustine said. "Be upfront about when AI is being used, how answers are assessed and when candidates will get to speak to a person."

Her recommendation for staffing models follows the same logic. "The most effective approach is to use AI to support recruiters, not replace them," Augustine said. "Let the technology handle the administrative tasks so your team has more time for the human conversations that help both sides decide whether the role is the right fit."

For HR teams, the survey data points to three concrete decisions: disclosing AI use before the interview begins, explaining how answers will be assessed, and signalling when a human conversation enters the process. The 33.4% who would participate but feel uncomfortable represent the group most recoverable through better communication — they stay, but they arrive with a negative impression of the employer.

The stakes scale with volume. An employer running AI first interviews across hundreds of roles faces the 11.2% withdrawal rate multiplied across every posting — a silent loss that standard funnel metrics may attribute to ordinary drop-off rather than interview format. With nearly half of UK job seekers already exposed to AI interviews and adoption still climbing, the gap between employer enthusiasm and candidate comfort is likely to shape how quickly automated first-stage screening becomes standard practice.