Brandon Hall Group’s 2025 report on AI in corporate learning found that 67% of organizations already use AI in learning, and 89% expect it to have a high or moderate impact on L&D by 2025. For teams using Employee-Generated Learning (EGL), an approach where employees create training from their own expertise rather than routing every request through a central L&D team, AI makes that model faster and easier to scale.
The combination addresses a concrete problem: L&D teams face a growing backlog of training requests they cannot clear (see page 15 of the report). AI-powered EGL shifts the bottleneck by giving employees the tools to build good content themselves, so L&D can move from processing requests to setting standards and guiding quality.
Here is what that looks like in practice. A sales manager notices her team keeps making the same mistake in discovery calls. Without AI, she either waits weeks for L&D to build a course or sends a long email that nobody reads. With an AI-assisted authoring tool, she uploads her notes, gets a structured course outline, refines the language with an AI writing assistant, and publishes a short module the same week. L&D reviews it before it goes live. The knowledge stays in the organization. The backlog stays manageable.
As Talha Faridy, AI Product Lead at Easygenerator, put it: “AI is helping reduce the barriers to sharing and consuming knowledge. In the past, it was a monumental task for someone to create a learning. Why would I, as a subject-matter expert, wake up and decide to create e-learning and share knowledge? There are so many barriers. But AI makes it possible for me today to get a working e-learning module created within minutes, verify the output, and quickly share it with my peers.”
1. AI speeds up content creation
Creating structured learning content takes time, and that is often why subject-matter experts do not bother. AI-assisted authoring removes the two biggest friction points: getting started and finding the right words.
When an employee opens a blank course, AI can generate an outline based on their topic and intended audience, so they begin with a logical structure rather than a blank page. As they write, an AI writing assistant helps them explain concepts clearly, suggest better phrasing, and flag gaps in the explanation.
AI can also convert existing documents into e-learning courses. Most organizations already have knowledge stored in PDFs, Word files, and PowerPoint presentations, often years of it. Rather than starting from scratch, employees can upload what already exists and use AI to reshape it into a structured module with questions and learning objectives. That existing material becomes usable training in a fraction of the time it would take to build manually.
Did you know?
With Easygenerator’s EasyAI feature, you can drag and drop up to three existing files and EasyAI builds them into a structured e-learning course in seconds.
According to Brandon Hall Group, 87% of organizations say automated content creation is important because AI can analyze skill gaps and generate personalized training at scale. Instead of routing every course request through a small L&D team, AI gives subject-matter experts the tools to turn what they already know into structured, usable training, without needing instructional design experience. And when it comes to saving time and costs, AI-powered e-learning delivers. L&D teams stop being the bottleneck and can spend their time on the work that actually requires their expertise.
2. AI improves content quality
EGL makes knowledge sharing possible at scale, but quality can slip when dozens, or hundreds, of employees are creating training content without instructional design backgrounds. AI keeps standards consistent by checking grammar, clarity, and readability as content is built. It can flag inconsistencies, suggest clearer phrasing, and help authors align their content with company policy or industry requirements, without L&D having to review every module manually.
As Talha Faridy, AI Product Lead at Easygenerator, put it: “AI is helping reduce the barriers to sharing and consuming knowledge. In the past, without large language models, it was a monumental task for someone to create a learning. But AI makes it possible to get a working e-learning module created within minutes, verify the output, and quickly share it with peers.”
Brandon Hall Group’s report says that 41% of organizations see significant efficiency gains from AI automation. That shift means L&D can move from editing content to curating it, reviewing what subject-matter experts produce, improving it where needed, and ensuring it fits into a coherent learning programme.
3. AI improves localization in learning
EGL lets employees share expertise across teams and regions, but reaching a global workforce means more than translating words. AI-powered translation makes training available in multiple languages quickly, without requiring L&D to manually convert every course. Beyond translation, AI can help authors adapt terminology and examples to fit regional context, so a course written for one market does not land awkwardly in another.
This matters in practice. A subject-matter expert in one country can create training in their own language, and AI handles much of the work needed to make that content usable elsewhere, reducing the time between knowledge creation and global availability, and removing the dependency on external translation agencies.
Did you know?
With machine learning translation powered by DeepL and Amazon AWS, you can localize your e-learning content directly in Easygenerator.
Despite the potential, only 28% of organizations achieve personalized learning at scale today. AI is closing that gap, not by replacing human judgment, but by handling the parts that don’t require it. Automatic translation and cultural adaptation mean a course built in Amsterdam can reach a team in São Paulo in their language, with references that actually land, without routing every update through a central L&D team.
As [Talha Faridy, AI Product Lead at Easygenerator](https://www.easygenerator.com/en/webinars/ai-in-elearning/), put it: “AI is opening doors to newer ways of consumption, reaching audiences that weren’t possible before, and scaling it.”
In closing
AI and Employee-generated Learning (EGL) work well together because they solve different parts of the same problem. EGL puts knowledge creation in the hands of the people who have it. AI removes the friction that stops those people from sharing it, the blank page, the formatting, the translation, the maintenance cycle when a product changes.
The result is a learning program that moves at the pace of the business rather than the pace of the L&D team’s production queue. Courses get built when knowledge is fresh. Updates happen when products change, not six months later. Employees in 12 countries get content in their own language without a separate localization project for each one.
Brandon Hall Group’s research supports this: AI is no longer optional for organizations that want learning to keep up with growth.
How Easygenerator’s EasyAI transforms learning
Easygenerator was built around EGL, the idea that the best person to create a training on a topic is usually the person who does that work every day. EasyAI makes that practical at scale.
A subject-matter expert opens a course, describes what they want to teach, and EasyAI drafts the structure, suggests questions, and fills in content from the materials they upload. The expert reviews, adjusts, and publishes, in a fraction of the time it would take to start from scratch or brief an instructional designer. L&D sets the guardrails, reviews for quality, and focuses on the work that actually requires their expertise: needs analysis, program strategy, and measuring whether learning is changing behavior.
That shift, from producing every course to enabling others to produce good courses, is where L&D teams find the most headroom.
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