Ep 126: Aiming AI at Human Bias and True Potential to Succeed with Trent Cotton

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 of work, Trent Cotton, Bob Pulver, Elevate Your AIQ

Takeaways

Job openings are rising faster than hires while application volume dips below last year, pointing to job hugging and recruiting teams stretched past their limits
The "experience" bar is often a poor proxy for skill, a problem that predates AI by decades
Skills-based hiring only works if organizations stop assuming years of experience are directly proportional to ability
The job ad should be rebuilt as a transparent scorecard that candidates see going in and that drives consistent scoring across every interviewer
AI does not create hiring bias so much as expose and scale the bias already there, and it can also help detect and coach against it (recency bias, manager patterns, and more)
AI sourcing can pressure-test unrealistic requirements before a role is ever posted, turning recruiters into advisors rather than order-takers
Gen Z is teaching itself AI skills and taking ownership of continuous learning, making it an overlooked and ready talent pool
Fixing retention starts in the hiring process, by confirming candidates are not just qualified but genuinely want the role

Quotes

"We've been looking at experience, assuming that skills are directly proportional to the number of years of experience."
"You can be working for 10 years at something and still suck at it."
"The only thing that's different with AI is it's gonna find them, expose them, and scale them."
"You just don't know until you give people a chance."
"The resume needs to be retired. It's well past its retirement age."

Chapters

00:02 Welcome and reconnecting

01:29 Trent's non-linear path from banking to HR

03:46 The unicorn role and the talent insights program

05:26 A new book and five mindsets for HR

06:40 What the market data reveals about hiring

08:53 Job hugging and a cautious candidate market

10:18 The experience trap and five years of LLM experience

14:01 Gen Z and the mid-level experience expectation

16:24 Skills versus experience and the self-taught coder

21:25 Blowing up the job ad and building a scorecard

29:17 The bias conversation AI is not having