Episode Details

Back to Episodes
More AI, Higher Hiring Costs: The Data Nobody's Talking About

More AI, Higher Hiring Costs: The Data Nobody's Talking About

Published 2 months, 2 weeks ago
Description
AI adoption in HR recruiting nearly doubled in a single year -- from 26% to 43%. So you'd expect hiring to be faster and cheaper by now. SHRM's 2026 data says the opposite: average cost-per-hire and time-to-hire both went up over the exact same period AI adoption was surging. That's the paradox. And it gets more uncomfortable. Nearly one in five organizations using AI in hiring discovered their system was systematically screening out candidates they actually needed. Meanwhile, a small group of organizations is delivering 340% ROI within 18 months and cutting cost-per-hire by 30-40%. Same tools. Wildly different results. The difference isn't budget or vendor choice -- it's measurement maturity. Gartner says 83% of organizations are stuck in the Trough of Disillusionment because they deployed AI without the feedback infrastructure to make it work. In this episode, we break down what the winners are doing differently and the five steps that separate real ROI from expensive disappointment.
Listen Now

Love PodBriefly?

If you like Podbriefly.com, please consider donating to support the ongoing development.

Support Us