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Content provided by Graham and Marty from Change State and Marty from Change State. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Graham and Marty from Change State and Marty from Change State 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://podcastplayer.com/legal.
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#62: The Promise of AI – Aligning Efficiency with the Candidate (and Recruiter) Experiences

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Manage episode 467442333 series 2862905
Content provided by Graham and Marty from Change State and Marty from Change State. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Graham and Marty from Change State and Marty from Change State 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://podcastplayer.com/legal.

This week we welcome David Ellis to the podcast. David started his career as a recruiter in New Zealand, before relocating to Europe to work as a talent consultant. After earning his PhD, he moved to Boston to join Korn Ferry, where he currently sits as SVP of Talent Transformation.

Topics include:

The future of talent acquisition, how AI can streamline processes while enriching candidate experiences, how to strike the right balance between AI and human touch, the ethical considerations when training AI, AI in high volume recruiting vs. executive recruiting, the shift towards skills-based hiring, talent acquisition roles of the future, the debate over hybrid work, the importance of critical thinking, approaches to measuring the ROI of artificial intelligence, and how AI is already empowering “wow” moments in recruiting

David Ellis

SVP of Talent Transformation, Korn Ferry

Linked In

Articles:

Korn Ferry’s Talent Trends 2025: Progress Over Perfection

  continue reading

Chapters

1. Future of Talent Acquisition Trends (00:00:00)

2. Balancing AI Efficiency With Human Touch (00:05:31)

3. Measuring AI Impact on Talent Acquisition (00:18:54)

4. Advancing Skills-Based Hiring With AI (00:27:46)

5. Skills-Based Hiring Resistance for Managers (00:37:46)

67 episodes

Artwork
iconShare
 
Manage episode 467442333 series 2862905
Content provided by Graham and Marty from Change State and Marty from Change State. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Graham and Marty from Change State and Marty from Change State 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://podcastplayer.com/legal.

This week we welcome David Ellis to the podcast. David started his career as a recruiter in New Zealand, before relocating to Europe to work as a talent consultant. After earning his PhD, he moved to Boston to join Korn Ferry, where he currently sits as SVP of Talent Transformation.

Topics include:

The future of talent acquisition, how AI can streamline processes while enriching candidate experiences, how to strike the right balance between AI and human touch, the ethical considerations when training AI, AI in high volume recruiting vs. executive recruiting, the shift towards skills-based hiring, talent acquisition roles of the future, the debate over hybrid work, the importance of critical thinking, approaches to measuring the ROI of artificial intelligence, and how AI is already empowering “wow” moments in recruiting

David Ellis

SVP of Talent Transformation, Korn Ferry

Linked In

Articles:

Korn Ferry’s Talent Trends 2025: Progress Over Perfection

  continue reading

Chapters

1. Future of Talent Acquisition Trends (00:00:00)

2. Balancing AI Efficiency With Human Touch (00:05:31)

3. Measuring AI Impact on Talent Acquisition (00:18:54)

4. Advancing Skills-Based Hiring With AI (00:27:46)

5. Skills-Based Hiring Resistance for Managers (00:37:46)

67 episodes

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