AI in recruitingcandidate experienceskills-based hiring
"The organization winning talent tomorrow won't be the automated, they'll be the most human."
What it was about
Hiring hasn't gotten easier despite an explosion of AI tools, because AI is being misapplied to the most human part of recruiting: judging whether someone belongs. A four-part blueprint (Filter, Find, Feel, Finish) shows where technology should do volume work and where humans must own judgment, connection, and decisions.
By the numbers
up to 30% of first-year earnings
cost of a bad hire
10 days
top candidates are off the market within this window
70% of the workforce
jobs that require degrees, creating a hiring gap
Key notes
Use AI/technology only for high-volume, low-judgment tasks: scheduling, FAQs, workflow automation, and basic screening criteria.
Reserve humans for evaluating potential, coachability, curiosity, transferable skills, character, flexibility, trustworthiness, drive, and honesty, since AI cannot detect these.
Audit your applicant tracking system filters regularly to remove unnecessary requirements (such as degree requirements) that screen out qualified candidates.
The contrarian takeDegree requirements in job postings are largely obsolete and actively shrink the candidate pool. Hiring on skills and potential instead of credentials surfaces far more qualified candidates than most organizations realize they're missing.
Take this back Monday
Do this for your team
Audit your ATS filters and drop unnecessary degree requirements screening out qualified, skilled candidates.
Say this in your next leadership meeting
AI should handle scheduling and screening, but only humans can judge coachability, character, and whether someone belongs.
Watch out for
Letting AI/ATS filters screen out good candidates based on rigid criteria like degree requirements instead of skills and potential.
Running too many interview rounds (5, 6, even 10) or lengthy assessments (e.g., a 4-hour assessment) that cause strong candidates to drop out.
Ghosting candidates or leaving them without a response for weeks, which damages employer brand and gets shared on Glassdoor and word of mouth.