Rethinking L&D for an AI-Driven World

Are we finally at a point where the way we’ve approached workplace learning no longer works? For years, organisations have invested heavily in learning platforms, content libraries and structured programmes. But if we’re honest, much of it still feels disconnected from how people actually learn today - especially in a world where employees can pick up new skills instantly using AI tools. So what does effective learning look like now? And how do organisations build an AI-ready workforce without falling back on outdated models? In this episode of the Digital HR Leaders podcast, host David Green is joined by Chris Eigeland, Founder and CEO of Go1, to explore how workplace learning is evolving - and what HR and L&D leaders need to do differently. Drawing on his experience working with L&D practitioners across the globe, Chris shares practical insights on: Why traditional approaches to learning are struggling to keep up How AI is changing not just what we learn, but how we learn Where organisations are making real progress with AI upskilling - and where they’re falling short Whether technology can finally reduce the compliance burden on HR teams What HR and L&D leaders should prioritise over the next 12–18 months This episode is sponsored by Go1. Go1 partners with L&D leaders around the world to turn AI into a workforce advantage, combining trusted learning expertise with an AI toolkit designed for organisational assessment and skills strategy, ready to deploy when teams need it. "With a learning delivery suite designed to deliver expert-led content through AI functionality, Go1 helps people build the skills to work confidently alongside AI" Learn more at go1.com/ai-with-go1 Hosted on Acast. See acast.com/privacy for more information.

You can listen to Rethinking L&D for an AI-Driven World online on Radio and Podcast. Open the player on this page to stream the available audio.

Rethinking L&D for an AI-Driven World is an episode from Digital HR Leaders with David Green by Stefan Kesic.

This episode is 46:50 long.

This episode was published on Mar 31, 2026.

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