Today is day 3 of the Learning Technologies Autumn Forum. What was interesting was how day 2 came back to the same issue from three quite different directions: content isn’t the hard bit.

Lavinia Mehedintu used behavioural science to look beyond capability to the conditions that allow behaviour to change and argued for L&D to think in terms of performance enablement. The Cornerstone session with Mark and Helen on AI and content kept returning to purpose, relevance and human judgement. Julie Dirksen focused on the bit we routinely under-design: the practice of learning something and being able to perform it reliably in a complex, context-dependent job.

That feels like a useful progression from Day 1. If content is abundant and AI can make more of it faster, our attention has to move towards context, practice, feedback, judgement and the systems around performance.

Days 3 and 4 take that further. Today includes Lori Niles-Hofmann on a new operating model for L&D, Noorie Sazen on preparing for a future nobody can predict, and Peter Manniche Riber on what it actually takes to build AI coaching inside a large organisation.

Day 4 on Thursday includes Arun Pradhan on influence and organisational politics, before Donald H Taylor and Eglė Vinauskaitė close the Forum with four years of research asking whether AI is mainly helping L&D work faster or actually changing the system.

Two days left, both online and free. See what’s coming up and register for the remaining sessions via the LT website.