Looking to boost the knowledge and skills of your employees in 2025? AI may be your most powerful ally yet. With cutting-edge artificial intelligence tools transforming the way organisations approach learning and development (L&D), businesses are now better equipped than ever to tackle one of their biggest challenges: closing skills and knowledge gaps.
In fact, one of the most effective ways AI is improving training outcomes is through personalised learning. By analysing employee data, such as job performance, learning styles, and career aspirations, AI-powered tools can create personalised training paths, recommend relevant learning content, and provide real-time feedback. The result? Higher engagement, improved knowledge retention, and faster upskilling across the board.
In this blog, we’ll explore how AI tools are revolutionising L&D strategies, from automating content creation to providing real-time learning support, and how your organisation can harness them to stay ahead in 2025.
TL;DR - How AI tools can help close knowledge gaps
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AI-driven personalisation: Tailor learning paths using employee data to improve engagement, retention, and upskilling.
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Faster content creation: Leverage generative AI tools like ChatGPT to produce custom training materials quickly and efficiently.
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Chatbots for instant learning: Provide employees with real-time answers and on-demand knowledge support through AI chatbots.
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Smart content recommendations: Use AI engines to suggest relevant learning content based on user behaviour and skill gaps.
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Scalable L&D strategies: Empower your L&D team to deliver impactful, individualised training at scale without overloading internal resources.
Why closing knowledge gaps should be a priority in 2025
Closing knowledge and skills gaps remains one of the top three L&D priorities for organisations worldwide, and with technology evolving at breakneck speed, ensuring your workforce can grow and reskills quickly is the key to long-term success.
So how can AI help?
AI-powered personalised learning pathways
Personalised learning experiences have long been hailed as the ideal method for successfully bridging knowledge gaps. Indeed, 77% of L&D professionals recognise that personalised learning is vital to employee engagement. But creating a unique, tailor-made learning experience for each employee in a large company is a mammoth task for L&D teams. Consequently, many businesses simply don’t have the time or resources to move away from the ineffective, one-size-fits-all approach to training.
Enter AI tools, the secret weapon for L&D teams looking to take a personalised approach to closing knowledge gaps.
Tailored learning at scale
How would you go about creating a personalised learning experience for your employees? First, you’d get to know them, finding out their strengths and weaknesses, and assessing their existing skills and knowledge. With this information, you can begin to outline a learning pathway that addresses their training requirements. Well, that’s exactly what today’s AI tools can do (but in a fraction of the time).
By analysing employee data such as job role, past performance, previous learning, and existing competencies, AI-powered adaptive learning platforms such as Realizeit create personalised learning pathways that cater to the unique requirements of each learner. Essentially, with the right AI tools all the legwork is done for you.
Using AI for scalable, custom training content
Another essential L&D process that can often put a strain on the time and resources of your organisation is the generation of engaging and effective training materials. Catering to the diverse training requirements of each department and job role calls for a multitude of courses and training materials, so leveraging AI tools to create custom content can save a great deal of your time and money.
Rapid creation of role-specific training materials
AI-powered writing assistants such as ChatGPT can cut down processing and development time to a fraction of what it would be when generated by a human. Using prompts to generate content, users can mould training materials at a granular level.
It’s estimated that 20% of the workforce will be significantly under-skilled in their jobs by 2030. To thrive in the changing landscape brought forward by new technologies, employers and employees need to look out for the top skills and competencies that will allow them to remain competitive. But how can employers rapidly close emerging knowledge and skills gaps in an ever-changing landscape? With generative AI tools, you can quickly create and deploy new training materials that address the latest L&D requirements, ensuring your organisation never gets left behind.
AI chatbots for just-in-time learning
Over the past few years, chatbots have become a powerful customer service tool for businesses looking to instantly provide their customers with answers to frequently asked questions. 24/7 access to a wealth of information, delivered in a conversational and straight-to-the-point format, is a dream for busy people in need of a quick answer. What if we told you that you could use this same technology for your busy employees?
Instant knowledge support for employees
Using natural language processing technology, AI chatbots can be used by businesses to answer employee questions and help close knowledge gaps. Rather than sifting through pages of training documents or seeking out answers in a lengthy training course, employees can simply type their queries into a chatbot.
AI chatbots help reduce the strain on L&D teams, managers, and HR teams, removing the need for employees to contact them directly for solutions to simple questions. And while this solution doesn’t replace ‘big picture’ development practices, chatbots offer ‘quick wins’ by filling small knowledge gaps that don’t require lengthy L&D training materials. However, if you’re looking for a way to simultaneously fuel continuous learning and support long-term L&D, chatbots can be configured to recommend relevant training materials and courses, ensuring employees are aware of further opportunities for growth and development.
AI-driven content recommendation engines
Encouraging your employees to engage in continuous learning practices is a guaranteed way to bridge knowledge gaps and prevent them from growing in the future. So how else can AI support this? Content recommendation engines have become a popular tool for encouraging learners to further deepen their knowledge and expand their skill sets. In fact, many of our clients are using recommendation engines in our Totara Learn LMS to create a constant flow of new learning opportunities for their learners.
Keeping learners engaged and continuously developing
AI-driven content recommendation engines analyse the user history and suggest content that addresses specific skills and knowledge gaps that they are closing, along with focusing on their preferred content types. Think of a personal training guide that not only understands your unique needs and preferences but champions your aspirations for continuous learning by recommending the perfect content that will help you achieve your development goals. That’s pretty much what these AI engines deliver.
What else can AI do for you?
AI is quickly becoming a foundational technology in modern L&D. At Hubken, we’ve produced loads of AI-focused content to help you leverage the latest tools and technologies.
Download a free recording of our AI-focused webinars:
- ‘3 practical AI tools for bespoke e-learning design’ - Watch our webinar now
- ‘Harnessing the power of ChatGPT for e-learning’ - Watch our webinar now
And if you're looking for an LMS that can seamlessly support your modern L&D strategy, visit our product pages or get in touch with us today.
AI training FAQs
Can AI replace traditional training methods?
AI can't replace traditional training entirely, but it can certainly enhance it. AI tools streamline routine tasks and provide real-time support, allowing L&D teams to focus on strategic planning and complex training needs. Traditional face-to-face or instructor-led training still plays a role, particularly for soft skills development and leadership training.
How does AI-powered learning personalisation improve employee training outcomes?
AI-powered personalisation in employee training enhances learning outcomes by tailoring the training experience to individual needs and preferences. This leads to greater engagement, better knowledge retention, and faster skill development. By analysing employee data such as performance, learning styles, and career goals, AI tools can build custom learning pathways, recommend relevant content, and deliver personalised feedback, all of which optimise the training process for maximum impact. With a solution like Totara Learn, Hubken helps businesses turn this AI potential into practical L&D success.
What are the key benefits of using AI in learning and development strategies?
Using AI in learning and development (L&D) offers a wide range of benefits, particularly for organisations looking to modernise and scale their training efforts. Key advantages include:
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Personalised learning at scale – AI analyses individual learner data to create tailored training pathways, ensuring that every employee receives relevant and effective content.
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Faster content creation – Generative AI tools can produce custom training materials in minutes, significantly reducing development time and cost.
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Improved learner engagement – With real-time feedback, AI-powered recommendation engines, and interactive chatbots, learners are more likely to stay engaged and motivated.
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Continuous learning support – Tools like AI chatbots and content engines promote a culture of self-directed learning, helping employees access knowledge when they need it most.
How do modern LMS platforms integrate AI and machine learning capabilities?
LMS platforms can integrate AI and machine learning by delivering personalised learning experiences, automating routine tasks, and providing advanced data insights. AI algorithms analyse learner behaviour, performance, and preferences to tailor content, recommend relevant courses, and adapt assessments in real time. Some systems can also power features like virtual learning assistants, automated grading, and intelligent analytics dashboards, enhancing both learner engagement and administrative efficiency.
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