『AI Hiring Is Losing 38% of Candidates — Here's How to Fix That』のカバーアート

AI Hiring Is Losing 38% of Candidates — Here's How to Fix That

AI Hiring Is Losing 38% of Candidates — Here's How to Fix That

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Most companies think AI in hiring means faster recruiting. But for candidates, it's often a black hole — no transparency, no communication, no closure. This episode digs into a striking stat from Greenhouse's 2026 report: 38% of candidates who encountered AI-driven interviews walked away entirely. That's not a small number. That's a talent pipeline hemorrhage. We look at what went wrong and who got it right. Chipotle's Ava Cado assistant nearly doubled application completion rates and cut time-to-hire by 75%. Unilever improved candidate satisfaction by over 25%. The difference wasn't the AI technology — it was the design philosophy. These companies asked "How can AI make this better for the candidate?" instead of "How can AI speed things up for us?" For HR leaders, the takeaways are practical: disclose AI upfront, always close the loop, optimize for the candidate's time, and start measuring candidate experience as a real pipeline metric. When you do, AI stops being a liability and starts being the hiring advantage it was meant to be. OVI's Milo agent is built on exactly this philosophy — audio-only candidate screening that's transparent, responsive, and gives candidates closure from day one.
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