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How Thermo Fisher Cut Time-to-Fill 64% With a Peer-Led AI Playbook
Published 1 week, 5 days ago
Description
Most companies roll out AI recruiting tools top-down and wonder why adoption stalls. Thermo Fisher Scientific tried something different — and cut their time-to-fill by 64% in a single quarter.
In this episode, we break down the 'Phenom Champions' model: how embedding one AI-savvy champion per business unit turned a 125,000-person company's AI rollout from a mandate into a movement. We trace the five-year journey from a 2022 scheduling pilot to 8,500-plus hours saved, a 490% surge in leads assigned to jobs, and a Talent Acquisition Team of the Year award.
If you're an HR or talent acquisition leader thinking about AI adoption, this one has real takeaways — not just impressive numbers, but the organizational model that actually unlocked those numbers.
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