It’s Day 4 of the Learnign Technologies Autumn Forum today. Day 3 kept coming back to the same question: is AI changing L&D, or just helping us do familiar things faster?

Lori Niles-Hofmann talked about moving beyond the course towards orchestration, connecting data, systems, content, practice and business need.

Noorie Sazen argued for preparing people for the conditions rather than trying to predict the route. She also showed that the people using AI most are more likely to have access to learning when they need it. Those in the organisational “engine room” are using it less and getting less development support. That suggests the gap may be about access, time and opportunity, not just motivation.

Then Hannah Frame and I picked up many of the same issues in our session. The audience put two questions at the top: what counts as transformation rather than efficiency, and what should we resist automating?

AI can make familiar L&D activity faster. The bigger question is whether it changes what we do, how we work and what we take responsibility for.

Final day today. We start with Thrive on connection and the future of learning, then Arun Pradhan on influence and organisational politics, Allison LaMotte on what’s new and next in Articulate 360, and Donald H Taylor and Eglė Vinauskaitė close the Forum with four years of research on the efficiency versus transformation question.

See you there?