Learners want video. What’s stopping L&D?

Video isn’t new. But it has become one of the most natural ways people learn at work. In our latest webinar, we explored why video keeps winning, what has been holding L&D back, and how Employee-generated Learning and AI are changing what’s possible.

In this session, Bobby Burchill, Training & Development Manager at ProPharma, and Nada Hazem, Senior Product Manager for AI and Innovation at Easygenerator, joined Ashling Moran for a practical discussion on video learning today and where it’s headed next.

🎥 Watch the session: Missed it live? Watch the full recording below.

Why video keeps winning

Video works because it reduces friction. As Nada explained, expectations have changed. People expect learning to fit into the flow of work rather than interrupt it. Video compresses information into a format that is easier to consume and apply, especially when demonstrating processes or systems.

Bobby shared practical examples from his own experience. When people need to learn something quickly, they instinctively search for a how-to video. The same behavior carries into the workplace. For many learners, watching a walkthrough is more engaging and motivating than reading long documents or slide decks.

The real challenge is not proving that video works. It’s making video sustainable.

The real bottleneck

If demand is clear, why is video still underused?

The main issue is not belief in video. It’s ownership and production mindset.

Video has traditionally been treated as something that requires specialist tools, production teams, and long editing cycles. That works for marketing. It creates problems for learning. When every update requires re-recording and re-editing, video becomes slow and expensive to maintain. As a result, organizations end up with polished but outdated content instead of timely and useful knowledge.

There are also practical blockers. Many subject-matter experts are comfortable with tools like PowerPoint because they are familiar and quick. Video editing software can feel complex and time-consuming. In a remote world, filming and re-recording can be difficult. When deadlines are tight, people default to what they know.

Employee-generated learning changes the dynamic

The most relevant knowledge already exists inside organizations. Employees share expertise every day in meetings, chats, and walkthroughs. The challenge is turning that everyday knowledge into scalable learning.

Nada highlighted that corporate learning strategies do not always make it safe or easy for employees to contribute. There is often pressure for content to be perfect before it is shared. But the risk of not sharing knowledge at all is far greater than sharing something that is simply good enough.

Bobby recommended starting small. Take an existing PowerPoint or document and transform it into a short video. When leaders and stakeholders see the impact, it becomes easier to build buy-in and expand from there.

Employee-generated video works when friction is removed, guardrails are clear, and L&D shifts from controlling content to enabling contribution.

What changes when video becomes easy

AI is reshaping what is realistic for video learning.

Rather than replacing L&D, AI removes production friction. It can help generate scripts, create voiceovers, and update specific scenes without rebuilding entire videos. This makes video faster to create and easier to maintain.

Bobby shared an example of using AI avatars in training. While some raised concerns about replacing human roles, his experience showed the opposite. AI allowed him to create more efficiently while still maintaining quality oversight and review.

Nada emphasized that AI does not take over decision-making. L&D remains responsible for quality, context, and judgment. The goal is to allow learning teams to support more authors and more content without scaling headcount.

When video becomes easy to create and update, it stops being a special project. It becomes part of everyday knowledge sharing.

Why we built EasyVideo the way we did

The real bottleneck isn’t demand for video. It’s ownership.

For years, video has lived in a production mindset, with specialist tools, long cycles, and high expectations of polish. That works in marketing. It slows down learning.

The goal isn’t to replace people. It’s to remove friction and to make it easier for L&D teams and internal experts to contribute, update content quickly, and keep knowledge up-to-date without rebuilding everything from scratch.

AI doesn’t make the decisions. L&D still owns quality, context, and judgment. It simply helps teams support more authors and move faster.

When friction goes down, contribution goes up. And that’s when Employee-generated Learning truly scales.

The bottom line

Learners want video because it fits how work happens today. The barrier has never been belief in video’s effectiveness. It has been operational friction.

By embracing Employee-generated Learning and using AI to remove production hurdles, organizations can move video from rare and polished to timely and relevant.

Video does not need to be perfect to be powerful. It needs to be accessible, practical, and easy to create.

👏 Huge thanks to Bobby Burchill for joining this conversation.