EPISODE · Jul 16, 2025 · 25 MIN
Why AI Resume Filters Are Eliminating Your Best Candidates
from Rooted In Revenue · host Susan Finch & Lany Sullivan
Your son just graduated college with excellent grades, but can't get past the "AI robot" screening resumes. Meanwhile, companies like Nike are using AI filters as their first hiring step, eliminating potentially brilliant candidates before any human ever sees them. What's going wrong with this approach? In Part 2 of our series with Frederic Lucas-Conwell, President of GRI (Growth Resources Institute), we dive beyond traditional resume screening into the world of AI-enhanced behavioral profiling. While most companies use AI to filter OUT candidates based on keywords and credentials, GRI uses AI to understand HOW people actually function in roles. Frederic reveals the fundamental flaw in asking for "perfect" candidates and shares how behavioral intelligence helps you spot the hidden characteristics that drive revenue performance—especially in candidates who might not have the perfect resume. We explore why recent college graduates with stellar academics are being eliminated by systems that can't see their potential, and how companies can identify candidates who are ready to quit their current jobs (and how to attract them). Susan shares a real-world example of interviewing two best friends using GRI's approach, demonstrating how behavioral insights create instant trust and reveal traits that would never appear on a resume. This isn't just about hiring—it's about seeing what your eyes cannot see. Connect with Frederic Lucas-Conwell: https://www.linkedin.com/in/flucasconwell/ https://gri.co https://x.com/griplatform https://www.linkedin.com/company/griplatform
Embed this episode
What this episode covers
Why AI resume filters eliminate great candidates. GRI’s Frederic Lucas-Conwell reveals how behavioral intelligence spots hidden talent beyond keywords.
NOW PLAYING
Why AI Resume Filters Are Eliminating Your Best Candidates
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
No similar podcasts found.