In this episode of the ManpowerGroup Work Intelligence Lab podcast, hosts Karla Fletcher and John Julitz discuss how rapidly changing skills and surging job applications are reshaping hiring, and speak with Greg Dunbar of Hubert.ai about the “talent differentiation crisis,” where mass-apply tools and AI-written CVs are making candidates harder to distinguish. 

Greg shares how Hubert.ai is rethinking hiring by replacing CV screening, application forms, and phone screens with short, structured, skills-based “predictive interviews” delivered via text or voice, designed to be low-stress and completed on candidates’ own time. 

He explains how poor AI interview experiences can drive candidate drop-off, while Hubert reports high completion rates and strong candidate satisfaction. Greg also discusses AI fatigue, the importance of starting with the problem rather than the technology, and why Hubert uses a hybrid approach combining LLMs for conversational experience with deterministic scoring for fairness, transparency, and compliance with enterprise standards and evolving regulations like the EU AI Act. 

Chapters:

00:00 Intro

01:38 Meet Hubert and Greg

02:58 Talent Differentiation Crisis

05:10 Predictive Interviewing Explained

07:29 Candidate Drop Off Myth

11:15 AI Fatigue and Education

17:25 Safety Fairness and Scoring

24:59 Hybrid AI Not LLM Scoring

27:42 Noise Regulation and Moats

36:48 Human First Recruiting Future

39:47 Choosing Vendors and Wrap Up