Recent published research found that L&D professionals rate AI literacy as their weakest skill of all 30 tracked by the LPI benchmark framework, scoring barely above entry level. The people responsible for building AI capability in their organisations are, by their own assessment, at the earliest stages of developing it.
This session is about closing that gap without the hype. It is built for the room: you will need your phone.
Part one: how technologies actually get adopted. Peter applies TST’s best practices for storytelling to tee-up the central thesis: that we’re living in a liminal moment.
Part two: the skills conversation. Where the room is with AI at work, what is blocking it, and why learning that works is effortful by design.
Part three: doing it. Experience live examples of AI applied in skills and learning design from our work with global organisations, including a Skills Compass built on public taxonomies and a learner-set path through a programme.
What attendees will learn
Why AI adoption is a social problem before it is a technical one, and what history says about the order that forms when a technology sticks.
Why we should not think of AI as a tool that makes learning easy, but as a tool that makes learning stick, and how to tell productive friction from the unproductive kind.
What a skill is, how the new UK skills classification relates to the taxonomies you already use, and where AI helps in Establishing, Empowering and Embedding a skills-based approach.
Practical takeaways
Attendees will leave with:
Their own saved materials from the session, sent to their phone: every statistic, source and demo they chose to keep.
A framework for judging whether an AI tool or technique is genuinely improving learning, or just adding novelty.
A discussion starter their table has already worked, and one action they commit to trying in their own organisation right away.