Agents changed everything about hiring except the outcome
About this episode
The episode discusses how AI has transformed hiring processes but failed to improve outcomes, emphasizing the need for more personal approaches.
The newest way to build a new AI product is to say, “X is broken, and we fixed it using AI”. Well, hiring was probably broken, but AI didn’t change the outcome. Instead, it made it into an arms race where candidates are sold AI tools which help them apply to companies and roles en masse in an automated way. On the other side, recruiters who have increasingly gotten tired of the same AI-generated answers, resumes and artefacts that have been generated by AI have resorted to deploying AI systems to filter out candidates and get what they are looking for. And AI companies sit on both sides of the transaction, billing tokens while hiring outcomes come back to exactly where they were. The answer to fix hiring isn’t in deploying AI better, but in creating processes that abandon it altogether, or at the very least use it sparingly. Hiring needs to be more like a “love-marriage” with the candidate working with you as a live-in relationship. Instead, agents have made it more like an “arranged marriage”, where candidates have agents who create their profile, and agents who evaluate other profiles, before humans even meet each other. Instead of relatives and parents, the machines are doing…
People in this episode
Host: Praveen
Guest: Aakash Dharmadhikari
Topics covered
- AI in hiring
- recruitment processes
- candidate experience
- automation
- agents in hiring
Keywords
- AI
- hiring
- recruitment
- automation
- candidates
- agents
- job applications
Mentioned in this episode
Organizations: Realfast.ai
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