Ep 126: Aiming AI at Human Bias and True Potential to Succeed with Trent Cotton
About this episode
Trent Cotton discusses the challenges in hiring and how AI can help address biases and improve the recruitment process.
Bob catches up with Trent Cotton, Head of Talent Insights and Analyst Relations at iCIMS, for a data-grounded look at why hiring feels so broken right now. Drawing on iCIMS workforce data, Trent unpacks a widening gap between job openings and actual hires, the rise of "job hugging," and application volumes falling below last year. The conversation digs into the real culprit behind entry-level frustration: a decades-old habit of confusing years of experience with actual skill, which AI is now exposing and scaling rather than causing. Trent makes the case for blowing up the traditional job ad in favor of a transparent scorecard, and for using AI to surface hidden bias and predict success rather than just automate the old process. They close on an optimistic note about Gen Z teaching themselves AI skills and why it may finally be time to retire the resume. Keywords talent acquisition, skills-based hiring, experience versus skills, job hugging, iCIMS workforce report, three-line report, entry-level hiring, Gen Z, early career, AI in hiring, recruiting bias, responsible AI, AI interviewer, job scorecard, job description, AI sourcing, quality of hire, retention, workforce data, future…
More episodes of Elevate Your AIQ
- Ep 127: Restoring Trust by Advancing Human-Positive AI with KVJ
- Ep 125: Democratizing Coaching and Strengthening Human Agency with Diane Weaver
- Ep 124: Rethinking Content Discovery and Responsible Innovation with Daniel Sieberg
- Ep 123: Operationalizing Agentic Workforce Intelligence with Noelle London
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