What if your development perfectly fit you? That’s AI in personalised learning: learning shaped by your style, progress, and skills.

This isn’t a distant dream; AI in personalised learning is already here, revolutionising how L&D teams deliver training, making experiences smarter, faster, and more relevant than ever before.

In today’s fast-paced, often remote working world, traditional training often falls short, struggling against constant distractions that make keeping learning a priority tough.

The obvious solution?

Make learning personal.

AI-driven personalised learning is the game-changer, moving beyond generic content to deliver bespoke journeys for every individual.

It’s no wonder that a significant 58% of respondents in a survey pointed to AI personalised learning as the trend most likely to impact corporate training by 2025.

This isn’t just a prediction. It’s how AI transforms L&D strategy, making learning more effective and efficient, and building a culture where employees genuinely want to learn.

In this blog, we’ll cover:

• What AI in personalised learning really means
• Key benefits of using AI for workplace learning
• Real-world examples of AI in action
• 5 practical ways to use AI to personalise learning
• How BuildEmpire supports AI-driven personalised learning

Let’s dive in.

What does AI in personalised learning mean?

AI in personalised learning means using data, algorithms, and machine learning to tailor learning experiences to each individual.

Instead of one-size-fits-all training, AI can:

• Recommend content based on your goals
• Adjust difficulty based on performance
• Adapt pace depending on engagement
• Surface insights for managers to support learners better
  

Think of it as your personal learning assistant.

It knows what you’ve already mastered, what you’re struggling with, and what you might want to learn next.

It helps learners focus on what matters most to them, without the guesswork.

Related: Discover personalised learning, what it really means, why it matters

The benefits of AI in personalised learning

AI makes learning feel less like a chore and more like a helpful nudge in the right direction.

Here’s why more businesses are using it:

1. Personalised at scale

AI can tailor learning for hundreds or thousands of learners, all at once. It looks at past behaviours, interests, and goals, then delivers the right content at the right time.

2. Smarter content recommendations

Good AI doesn’t just push random modules. It curates relevant content based on learner activity, goals, and performance. That means no more wasted time searching for the right course.

3. Faster skill development

By focusing on what learners need right now, AI helps fill skill gaps more quickly. That’s a win for learners and businesses alike.

4. Real-time insights

AI gives managers real-time data on learner progress and performance. That helps them offer better coaching, spot roadblocks early, and link learning to performance.

5. Increased engagement

When content feels tailored, people pay attention. AI-driven learning keeps people engaged with recommendations, nudges, and feedback loops. And did you know that AI personalised learning increases employee engagement by 30%? So if you’re struggling with engagement, it’s worth investing in.

💡 Pro Tip

We have AI features that ensure learners are presented with content that is genuinely relevant to their roles, existing knowledge, and career aspirations.

Check out our AI features.

Real-world example of AI in personalised learning

Let’s say you’ve got a new marketing exec named Sam. She logs into the company LMS, and the system immediately:

• Recognises her job role and level
  
• Suggests a short video on brand strategy
  
• Recommends a follow-up course on content planning
  
• Flags a podcast on social media trends (based on what similar learners found helpful)
  
• Sends a reminder two days later to complete her learning plan
  

Behind the scenes, AI is analysing her clicks, completions, and interests.

Over time, it refines the recommendations even more. Sam gets the right content, right when she needs it.

AI-driven personalised learning can have a 25% improvement in learning outcomes.

Related: Dive into real use cases of AI in L&D

That’s the power of AI in personalised learning.

5 ways to use AI in personalised learning at work

Wondering how to get started with AI in your organisation’s learning strategy?

Here are five practical ways to use AI to create better learning experiences.

1. Use AI-powered content recommendations

Make it easy for learners to discover relevant content. AI can surface videos, articles, and courses based on learner profiles, job roles, and previous learning behaviour.

It’s like Netflix, but for skills.

2. Enable adaptive learning paths

Let learners move at their own pace, with guidance. AI can automatically adjust the path depending on how someone performs in assessments or interacts with content.

Faster learners get challenged. Slower learners get support. Everyone gets what they need.

3. Provide real-time feedback

AI can offer instant feedback on quizzes or simulations. It can highlight what was missed, suggest areas to review, and encourage next steps.

This builds confidence and keeps learning momentum high.

4. Spot learning gaps early

With AI-driven analytics, managers and L&D teams can identify trends in learner performance. If a team is consistently struggling with a certain topic, it’s a cue to act.

No more waiting until it’s too late.

5. Automate reminders and nudges

AI can send personalised reminders to encourage learners to continue their journey. These nudges can be based on time, behaviour, or milestones.

This helps beat procrastination and keeps learning on track.

Related: Real use cases of AI in learning and development

How BuildEmpire supports AI-driven personalised learning

At BuildEmpire, we know AI is more than just a buzzword. 

It’s a powerful way to significantly improve learning experiences for both individual learners and entire organisations. 

We believe in harnessing this power to create genuinely effective and engaging training.

Here’s how our LMS is engineered to support AI-powered personalised learning, ensuring your team gets the most out of their development:

Smart recommendations

Our AI engine doesn’t just suggest content; it intelligently recommends what’s truly relevant based on learner behaviour and goals.

The real magic here? It cuts through the noise of information overload, ensuring your team always gets the most impactful stuff for their development.

This boosts engagement and speeds up skill acquisition.

AI-assisted course tag recommendations generator

This is a proper game-changer for managing your learning content. It automatically slaps accurate tags onto courses, which really streamlines organisation for your admins.

And for learners, it massively boosts content discoverability, making their learning journey way more efficient and effective.

Open AI integration

Totara’s OpenAI Integration launched in version 18.8 of Totara. This LLM integration model provides a simple option to connect a site with OpenAI’s products such as ChatGPT.

With this integration, and the supporting pluggable architecture, you can develop custom plugins that enable AI functionality to work within Totara sites.

We work with businesses to build intelligent learning experiences that adapt to each learner, without losing sight of business goals.

Ready to personalise learning with AI?

AI doesn’t replace learning and development teams. It empowers them.

It takes the guesswork out of learning design, supports employees where they are, and helps organisations build skills faster and more effectively.

If you’re ready to level up your learning strategy with AI-powered personalisation, we’re here to help.

Book a demo today and discover how BuildEmpire can support smarter, more personalised learning at scale.