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Ep 688: Is AI’s Impact On TA Underhyped?

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Manage episode 473611062 series 1535872
Content provided by Matt Alder. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matt Alder 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.

The conversation around AI in talent acquisition often focuses on incremental improvements and point solutions – better job descriptions, faster candidate matching, or automated interview scheduling. But this limited view dramatically underestimates the fundamental transformation that's already underway. While many are still debating whether AI is overhyped, there is growing evidence that it is actually significantly underhyped, with implications far beyond what most TA leaders are preparing for.

So, how can TA move beyond tactical AI implementations to develop the strategic capabilities that will soon be essential?

My guest this week is Jonathan Kestenbaum, Managing Director of Tech Strategy at AMS and a long-time trusted authority in work tech innovation. Jonathan cuts through the noise to explain why current industry discussions around AI are missing the bigger picture – a future where talent acquisition transforms into strategic orchestration and the way organizations attract and deploy talent is fundamentally reshaped .

In the interview, we discuss:

  • The unprecedented speed of change compared to previous tech cycles

  • The current AI use cases that hint at a much more significant transformation ahead

  • Why recruitment processes need a complete redesign, not just automation

  • The split between humans and machines and the impact on jobs

  • Skills based firing

  • Moving from talent acquisition to talent orchestration

  • What do TA Leaders need to do right now

  • What does the TA Tech stack of the future look like

Follow this podcast in Apple Podcasts.

Follow this podcast on Spotify.

  continue reading

762 episodes

Artwork
iconShare
 
Manage episode 473611062 series 1535872
Content provided by Matt Alder. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matt Alder 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.

The conversation around AI in talent acquisition often focuses on incremental improvements and point solutions – better job descriptions, faster candidate matching, or automated interview scheduling. But this limited view dramatically underestimates the fundamental transformation that's already underway. While many are still debating whether AI is overhyped, there is growing evidence that it is actually significantly underhyped, with implications far beyond what most TA leaders are preparing for.

So, how can TA move beyond tactical AI implementations to develop the strategic capabilities that will soon be essential?

My guest this week is Jonathan Kestenbaum, Managing Director of Tech Strategy at AMS and a long-time trusted authority in work tech innovation. Jonathan cuts through the noise to explain why current industry discussions around AI are missing the bigger picture – a future where talent acquisition transforms into strategic orchestration and the way organizations attract and deploy talent is fundamentally reshaped .

In the interview, we discuss:

  • The unprecedented speed of change compared to previous tech cycles

  • The current AI use cases that hint at a much more significant transformation ahead

  • Why recruitment processes need a complete redesign, not just automation

  • The split between humans and machines and the impact on jobs

  • Skills based firing

  • Moving from talent acquisition to talent orchestration

  • What do TA Leaders need to do right now

  • What does the TA Tech stack of the future look like

Follow this podcast in Apple Podcasts.

Follow this podcast on Spotify.

  continue reading

762 episodes

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