Why microlearning works in the AI age

Our learning designers have been working almost exclusively on our microlearning courses over the past few months to fulfil Chris Hornby's strategy of helping customers stay on top of change and build capability in real time. It's no surprise, then, that my feeds have been flooded with articles and adverts about microlearning. Some particularly interesting research has surfaced that confirms what we already know: microlearning isn't just a trend - it reflects how learning actually works in modern organisations. As workplaces demand faster adaptation and continuous upskilling - especially in this AI age - short, focused learning units make it easier for people to learn in the flow of work and apply knowledge immediately.

Crucially, it supports just-in-time learning and personalised pathways, helping individuals close knowledge gaps when they matter most while also fostering a culture of continuous learning without overwhelming teams.

Full disclosure: Microlearning is often described as very short, typically 3-15 minutes. Our microlearning courses tend to run a little longer, usually 30-45 minutes, because they include time for hands-on practice. We've found that this practical element helps learners apply ideas more confidently in their day-to-day work. While it stretches the traditional definition slightly, it aligns better with how meaningful learning happens in practice.