5,000 Applications, 20 Jobs: The Campus Hiring Crisis AI Is Finally Fixing

Campus recruiting has a math problem. Five thousand applications. Twenty roles. A three-person recruiting team. Six weeks before your best candidates accept competing offers from someone else. This is the reality for most mid-size companies doing campus hiring — and it's getting worse. In this episode, we break down why the campus hiring volume problem is breaking recruiting teams, and what AI is doing to fix it. The numbers are striking: seventy-five percent of job applications receive zero response, and smaller companies ghost candidates at twice the rate of large enterprises. The best talent doesn't wait around. We look at how OVI's AI-native ATS — with sourcing agent Sora and screening agent Milo — is changing the math. Milo conducts structured AI audio chats with every candidate: asynchronous, audio-only, no scheduling required. Every candidate gets the same questions evaluated against the same rubric. The result? Recruiters receive a ranked shortlist in days, not weeks — and the cost drops from roughly ten dollars per manual phone screen to about two-fifty per AI audio chat. If you're heading into a campus hiring cycle, this episode is for you.