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About the webinar

Applicant volume didn’t creep up. It overwhelmed the system. AI interviewers are one response to that reality. They exist to help teams evaluate far more candidates than humans alone ever could, introducing structure and consistency earlier in the process so people don’t get missed by default.

But as these tools move quickly from pilots into real hiring workflows, most teams are discovering the same thing: evaluating AI interviewers is harder than it looks. Capabilities vary widely. Use cases matter more than features. And many of the biggest risks show up after the demo.

This session is about understanding the category as it actually exists today, not how anyone wishes it did.

What We’ll Cover

• Why AI interviewers are being adopted first in high-volume, early-stage hiring

• What’s becoming standard versus where real differentiation is emerging

• Where teams are seeing value in practice and where adoption commonly stalls

• What organizational maturity is required as interview volume scales

• Why “who’s best” continues to be the wrong question in this category

Who This Is For
Talent acquisition and talent operations leaders
HR technology and solution providers
Legal, IT, and governance stakeholders involved in AI decisions

If you’re evaluating AI interviewers, piloting them, or feeling pressure to scale faster than your current process allows, this session will help you get your bearings before decisions harden.