Help Wanted! The Truth About Talent Assessment & Hiring Tech
Psych Tech @ Work
What does AI know about Skills Based Hiring? Listen and find out!
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What does AI know about Skills Based Hiring? Listen and find out!

Google's Notebook LM gives us a Deep Dive on the facts and fiction

“We need global standards to define and verify skills, or we’ll be left with confusion and inconsistency across industries.”

-Notebook LM’s Deep Dive Podcast Hosts


Skills based hiring is all the rage, and so is AI.

So what happens when you mix the two?

In this special edition of Psych Tech @ Work, I handed the mic over to AI using Google’s Notebook LM. The result? A fully AI-generated exploration of the evolving world of skills-based hiring. But how well did AI do at covering this complex and nuanced topic? 

So how did it do?  Listen and decide for yourself.

In the meantime- Here is a short summary to pique your curiosity.

Skills-based hiring promises to break down barriers and redefine how we think about qualifications, but it’s not without challenges. This episode examines how companies can move beyond traditional degree requirements and leverage diverse learning pathways. It also highlights the shift from career ladders to flexible, lattice-like models and the critical role of leadership in making these transformations happen.

Key Takeaways:

  • AI is a tool, not the solution: Organizations need both AI-driven assessments and human judgment to effectively identify and verify skills.

  • Degrees aren’t everything: Employers must embrace non-traditional education pathways to access untapped talent.

  • Lifelong learning is essential: Workers should continuously upskill and showcase their abilities through portfolios and personal branding.

  • The career ladder is outdated: Flexible career paths based on transferable skills are the future.

  • Leadership drives change: True transformation in hiring practices requires bold decisions beyond tech implementation.

Conclusion:

This AI-powered episode demonstrates the potential of using AI for content creation while also showing its limitations. AI did a great job providing structure and highlighting key points, but human oversight remains essential to ensure deeper exploration and address the human factors that technology alone can’t fully capture. Skills-based hiring requires more than AI—it needs leaders willing to rethink and redesign hiring practices with empathy and inclusivity in mind.

Please listen and share your thoughts on how these robots did exploring the issues and drawing meaningful conclusions!

Discussion about this episode