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What does AI know about Skills Based Hiring? Listen and find out!

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Manage episode 464261927 series 2978256
Content provided by Charles Handler. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles Handler or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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* The career ladder is outdated: Flexible career paths based on transferable skills are the future.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

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit charleshandler.substack.com

  continue reading

97 episodes

Artwork
iconShare
 
Manage episode 464261927 series 2978256
Content provided by Charles Handler. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles Handler or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

“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!

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit charleshandler.substack.com

  continue reading

97 episodes

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