The resume has long been the gateway to work. Now it may be failing the very people it is supposed to represent.

In this Work 2.0 conversation, Greenhouse CEO Daniel Chait explains the “AI hiring doom loop”: candidates use AI to submit more applications, employers use AI to filter the flood, and more qualified people struggle to be seen.

Chait shares with Rachel why recruiters are handling 412% more applications while teams are roughly half the size they once were, why he says about 97% of applications may never receive human attention, and how an earlier landmark study found identical resumes with traditionally Black-sounding names received 50% fewer callbacks.

Can structured, transparent AI interviews move hiring beyond credentials, college names, and keyword-stuffed resumes? Or will AI deepen the distrust already breaking the job market?

Listen for Chait’s case for skills-based hiring, candidate choice and transparency, third-party bias audits, and the durable skills graduates need as AI reshapes work.

This episode is for job seekers, recent graduates, career changers, recruiters, hiring leaders, and anyone frustrated by sending applications into a system that increasingly feels impossible to navigate.

Work 2.0 is the podcast about AI, power, and the future of work, hosted by Rachel Wells.

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