Rethinking the Candidate Experience When Applicants Use AI Too

For the past few years, the conversation about AI in hiring focused on employers: screening resumes, ranking candidates, scheduling interviews. Now the other side of the table has caught up. Job seekers use AI to tailor resumes, write cover letters, prepare for interviews and, increasingly, apply to hundreds of roles with automated tools.

The result is an arms race. Applicant volumes surge, every resume looks polished and keyword-optimized, and recruiters struggle to tell genuine interest from mass applications. Employers respond with more automated filters, candidates respond with more automation, and the experience gets worse for everyone.

Breaking that cycle requires rethinking what a good candidate experience looks like when both sides use AI.

Accept that AI use is normal

Using AI to polish a resume or prepare for an interview is now as common as using spell-check or asking a friend for feedback. Treating all AI-assisted applications as suspect alienates strong candidates. The better approach is to set clear expectations about where AI help is welcome and where it isn’t.

Many employers now publish candidate AI guidelines. For example: AI may be used to prepare application materials, but take-home assessments and live interviews must reflect the candidate’s own work.

Shift signals away from the resume

If every resume is optimized, the resume becomes a weaker signal. Leading employers are moving toward assessments that better reveal real ability:

• Structured interviews with consistent, job-relevant questions and scoring rubrics
• Work samples and job simulations that mirror real tasks, ideally completed in a supervised or live setting
• Skills-based screening questions that require specific, experience-based answers
• Conversations about how candidates use AI in their work, which is now a relevant skill for many roles

Guard against fraud without punishing honest applicants

Candidate fraud, from proxy interviewers to deepfaked video interviews and AI-generated answers delivered in real time, is a growing concern, particularly for remote technical roles. Sensible safeguards include identity verification at key stages, at least one live interaction with cameras on, and follow-up questions that probe beyond rehearsed answers. Apply these measures proportionately so legitimate candidates don’t feel treated as suspects.

Make the process more human, not less

When applications are easy to generate, a responsive and respectful process becomes a real differentiator. Use AI on your side to improve the experience, not just to filter:

• Acknowledge every application and provide realistic timelines
• Use scheduling automation to reduce delays
• Offer AI-powered answers to common candidate questions about benefits, process and culture
• Share clear status updates, including timely rejections
• Make sure every candidate who reaches the interview stage talks to a real person who knows the role

Be transparent about your own AI use

Candidates increasingly want to know how employers use AI, and several jurisdictions now require disclosure. Explain where AI is used in your process, what it evaluates and how candidates can request human review or accommodations. Transparency builds trust and helps you stay compliant.

The bottom line

The AI arms race in hiring has no winners. Employers who set clear expectations, focus on better signals of ability and use AI to make the process more responsive will attract stronger candidates and stand out in a crowded market.