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The 239% Problem: How AI-Powered Candidates Are Breaking Staffing Workflows

Applications per job are up 239% since 2021. But that’s because more than one in five candidates are now using AI agents that apply to jobs automatically, in bulk, around the clock.

That means every resume looks polished, and the signals recruiters used to rely on to separate strong candidates from weak ones are disappearing. Recruiter hours per placement are going up, fill rates are going down, and most firms are absorbing the cost without a plan to fix it.

In this session, Aaron Wang, CEO of Alex AI, draws on over one million AI-assisted interviews to cover:

  • How candidates are using AI today—from resume writing and fully automated applications to outright fraud—and the impact these tools are having on the applicant pool.
  • Why traditional screening methods break down when candidates are using AI, and which parts of the process are no longer effective.
  • What the emerging threat of candidate fraud looks like and the warning signs staffing firms should be watching for.
  • Which alternative screening approaches staffing firms are testing, and what early results and lessons are emerging.

For a copy of the presentation slides, click here.

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