Rebuilding L&D for an AI-Driven World: Larry Durham on NIIT Learning Leaders

What happens when an organization’s learning ambitions move faster than the operating model designed to support them? In Episode 6 of the NIIT Learning Leaders Podcast, Larry Durham joins Jonathan Eighteen to examine that question through findings from Rebuilding L&D for an AI-Driven World, a benchmark study representing the perspectives of more than 200 senior learning leaders worldwide.

Their conversation explores why AI-driven L&D requires more than adopting new tools. AI is bringing existing structural limitations into sharper focus, including gaps in governance, capabilities, operating models and execution. For learning leaders, the challenge is to connect the organization’s ambitions for AI with the infrastructure required to deliver meaningful and measurable business impact.

Larry and Jonathan also consider why deliberate transformation matters. Organizations that respond to each emerging technology independently risk adding complexity to systems that are already under strain. A more strategic approach begins with the broader learning model: how work is prioritized, how decisions are governed, how capabilities are developed and how L&D supports enterprise performance.