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Cover Story


Is L&D focusing where it matters most?


Robin Hoyle speaks with Egle Vinauskaite about how AI is reshaping work, learning and organisational priorities – and what L&D needs to do to keep pace


Robin: Conversations about AI and L&D are focused on learning design, data analytics and AI to create content. How do you think that’s set to change?


Egle: L&D has largely been thinking about AI from its own perspective: “here are our most demanding tasks” and “how can AI make them easier”. The reality is that L&D doesn’t exist in a vacuum. Work itself is changing because of AI but L&D has been largely focused on solving its internal problems, its processes and it hasn’t questioned enough if it’s still solving the right problem. For example: AI can help you create a


good branching scenario, but do people still need to practise feedback using a branching scenario when AI can give you a simulated real-time conversation


using your own voice? We have a similar situation with content and courses. Do you still need that meticulously designed SCORM course where you can click things and read stuff when people are just going to ask AI? That is the new habit, the new interface


for knowledge work. Courses aren’t L&D’s core artefacts anymore – they’re data. And that changes the value that L&D can offer to the business. Currently, there is the loud conversation – about how we use AI tools in L&D for our own purposes, and there is another conversation, more silent in comparison, which is about what L&D needs to become to keep adding value in a workplace that has AI in it. Essentially, what happens to L&D when knowledge isn’t the bottleneck anymore? >


Special Edition | 13


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