Artwork

Content provided by HCI Podcast Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HCI Podcast Network 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.
Player FM - Podcast App
Go offline with the Player FM app!

The AI K-Shaped Job Market: Navigating the Dual Trajectory of Tomorrow's Workforce, by Jonathan H. Westover PhD

21:25
 
Share
 

Manage episode 492796280 series 3593224
Content provided by HCI Podcast Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HCI Podcast Network 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.

Abstract: This research brief examines the emerging "AI K-Shaped Job Market," where artificial intelligence technologies are simultaneously creating unprecedented demand for certain skills while diminishing the value of others. Drawing on recent industry research and organizational case studies, the article explores how this bifurcation manifests across financial services, healthcare, and manufacturing sectors, revealing distinct patterns of workforce transformation. The analysis identifies critical strategies for organizations navigating this divide, including strategic workforce planning with AI-focused skills taxonomies, comprehensive upskilling ecosystems that develop both technical and adaptive capabilities, and human-AI integration approaches that optimize complementary strengths. For individuals, the research highlights effective pathways to position oneself on the upward trajectory of the K-shape through deliberate skill portfolio diversification and strategic career navigation. This practitioner-oriented brief argues that successfully navigating the dual trajectories of tomorrow's workforce requires viewing AI not merely as a cost-saving automation tool but as a catalyst for reimagining human potential in an increasingly technology-augmented workplace.

  continue reading

101 episodes

Artwork
iconShare
 
Manage episode 492796280 series 3593224
Content provided by HCI Podcast Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HCI Podcast Network 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.

Abstract: This research brief examines the emerging "AI K-Shaped Job Market," where artificial intelligence technologies are simultaneously creating unprecedented demand for certain skills while diminishing the value of others. Drawing on recent industry research and organizational case studies, the article explores how this bifurcation manifests across financial services, healthcare, and manufacturing sectors, revealing distinct patterns of workforce transformation. The analysis identifies critical strategies for organizations navigating this divide, including strategic workforce planning with AI-focused skills taxonomies, comprehensive upskilling ecosystems that develop both technical and adaptive capabilities, and human-AI integration approaches that optimize complementary strengths. For individuals, the research highlights effective pathways to position oneself on the upward trajectory of the K-shape through deliberate skill portfolio diversification and strategic career navigation. This practitioner-oriented brief argues that successfully navigating the dual trajectories of tomorrow's workforce requires viewing AI not merely as a cost-saving automation tool but as a catalyst for reimagining human potential in an increasingly technology-augmented workplace.

  continue reading

101 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play