Eight ways your talent pipeline breaks and what AI changes

One recruiter, 27 open roles and more than 1,000 applications per vacancy. 930 applications for a single role in just 36 hours. 1,018 applications for just two hires. That’s the reality that many recruiters face today. But when faced with these challenges, are traditional hiring processes still fit for purpose? They may make hiring feel manageable, but they can also mean great candidates are missed, delayed or judged inconsistently.

In this practical session, Workable will expose eight ways traditional talent pipelines break, from recency and ordinary bias to pipeline drift, late discovery and overly complex processes. Through live audience polling, real-world customer examples and practical applications, discover how to identify where your own pipeline is failing, rethink the compromises built into traditional recruitment, and use AI to create a faster, more consistent and effective way to find and progress the right talent.

What to expect:

• Spot hidden hiring flaws: identify how batching, shifting standards, inconsistent screening and unnecessary stages affect outcomes.
• Assess candidates, not the pool: evaluate talent against agreed criteria, not simply the “best of the bunch.”
• Discover what matters sooner: capture key candidate information before valuable interview time is wasted.
• Cut unnecessary complexity: distinguish stages that improve decisions from those compensating for poor information.
• Rethink recruitment with agentic AI: discover how continuous sourcing, screening and engagement free recruiters to focus on judgment and relationships.