Employees no longer have to wait for a course to learn something. They can ask an AI tool to explain a concept, draft a practice scenario, translate a policy into plain language, or quiz them before a certification exam. That changes the role of Learning and Development in a serious way. For years, much of L&D centred on access. Who needed training? Where was the content? How could it be delivered at scale? Large Language Models, or LLMs, have changed that equation. Access to

“Did they finish the course?” used to feel like a practical question. It was easy to answer, easy to report, and easy to defend in a quarterly review. By 2026, it is also the wrong place to stop. Completion and pass rates tell L&D teams whether people crossed a finish line inside a learning system. They do not tell us whether someone can use a skill under pressure, remember it next month, adapt it when the work changes, or help the organization perform better. That gap is get

A learning program can be well written, beautifully built, and still fail if people are not ready to use it. That is where change management belongs in instructional design. New systems, new procedures, new policies, new roles, and new expectations all ask people to leave familiar habits behind. Training is part of that shift, but it is not the whole shift. A course can explain what changed. Change management helps people understand why it changed, what it means for their wor