Hiring teams are under more pressure than ever. Application volumes keep climbing, time-to-hire expectations keep shrinking, and the people making decisions are expected to get it right every time. It’s no surprise that AI has moved to the center of that conversation.
Approximately 88% of companies already use AI for some part of their hiring process, and yet just 8% of HR leaders believe their managers are equipped to use it effectively. The gap between adoption and readiness is real, and it’s producing real consequences.
The numbers only tell part of the story. According to Anthony Belluccia, Head of Science at The Predictive Index, AI-generated resumes have made candidates increasingly indistinguishable, and high-ability workers are being hired 19% less often as a result. When every application looks the same, screening tools built for speed aren’t solving the problem. They may be compounding it.
AI can support efficiency, but it does not solve the core challenge of understanding people. This article covers what AI in recruiting actually does, where it falls short, and how
What Is AI in Recruitment?
AI in recruitment refers to the use of artificial intelligence technologies to support tasks across the hiring process. In practice, that includes:
