Human Resource Outsourcing
Personalising employee growth: AI in learning and development programs
The global workforce has been restructured since 2020, and we’re on our way into the future of work. With that, employee development, upskilling, and corporate training have also evolved. Traditional, one-size-fits-all learning models are insufficient to meet the diverse needs of employees. As a result, organisations are turning to AI in learning and development. AI-driven learning and development is transforming how employees acquire skills, offering personalised, data-driven training programs that align with individual goals and business objectives.
This article explores how AI personalises employee growth, its business impact, and key considerations for HR leaders looking to integrate AI-driven learning solutions.
The need for AI in learning and development
Corporate trainings run the risk of low engagement, ineffective learning retention, and misalignment with business goals. Traditional training programs often leave employees either under-challenged or overwhelmed.
Most of the employees believe personalised learning is crucial to their professional growth. Meanwhile, some employees would consider quitting if they lack career development opportunities, highlighting the urgent need for companies to rethink their learning strategies.
By incorporating AI in learning and development, organisations ensure employees receive tailored training that evolves alongside their career progression. AI enables adaptive learning experiences that cater to individual skill levels, preferences, and career goals. By leveraging artificial intelligence in corporate training, companies can boost employee engagement, close skill gaps faster, and align workforce development with business objectives.
Employing personalisation in corporate training
AI-driven learning platforms analyse employee data to tailor training experiences dynamically. Three key AI technologies play a pivotal role in customising corporate learning:
Machine Learning (ML) for predictive and adaptive learning
Machine learning algorithms assess employees’ skills, progress, and performance metrics to recommend personalised learning paths. ML models can:
- Identify skill gaps based on performance data
- Suggest relevant courses tailored to individual needs
- Adjust training difficulty and pacing in real-time to optimise learning outcomes
Natural Language Processing (NLP) for AI Tutors and Assistants
NLP enables AI-powered chatbots and virtual assistants that provide on-demand coaching, support, and feedback. These AI tools:
- Answer employees’ training-related questions in real time
- Offer interactive learning experiences through conversation-driven instruction
- Translate training materials to multiple languages, enhancing accessibility for global teams
Generative AI for content creation and customisation
Generative AI automates the development of training content, assessments, and interactive simulations. It enables HR teams to:
- Generate course materials, quizzes, and multimedia learning resources efficiently
- Customise content based on employees’ roles, industries, and learning preferences
- Provide AI-driven assessments with instant, personalised feedback
By combining these AI technologies, businesses can implement artificial intelligence in corporate training to deliver highly tailored learning experiences at scale. AI’s ability to continuously adapt to employee needs ensures that learning remains relevant and aligned with both individual and organisational goals.
Business impact: AI in HR and L&D strategy
Integrating AI into corporate training strategies offers significant business benefits. AI-powered adaptive learning enhances employee engagement and retention by making training more relevant and meaningful. Research shows that AI-driven personalised training can increase efficiency, flattening the learning curve. It enables employees to upskill and contribute more effectively to their organisations.
AI also enhances equity, accessibility, and inclusivity in learning and development. AI-driven language translation, speech recognition, and adaptive learning tools enable professionals from diverse backgrounds to engage with training materials.
HR leaders who integrate AI into corporate training strategies can expect measurable business benefits:
- Cost reduction: Automating L&D processes with AI can cut training expenses by 20-30%.
- Strategic workforce planning: AI analytics help HR teams identify critical skill gaps and align L&D investments with business goals.
- Reduced administrative load: AI automates administrative tasks, such as scheduling and tracking training progress.
Organisations that embrace AI in human resources to enhance training programs gain a competitive edge by ensuring their workforce remains agile, skilled, and future-ready.
Overcoming challenges in AI adoption
Despite the compelling case for AI in learning and development, AI adoption comes with challenges.
- Fairness: Algorithms trained on incomplete or unrepresentative data may produce biased recommendations. To mitigate this risk, organisations must use diverse datasets, maintain explainable and interpretable AI models, and oversee the decision-making processes.
- Employee Acceptance: Many employees may be reluctant to trust AI training tools for fear of being replaced or limiting career development opportunities. Organisations must implement AI literacy programs to educate employees on the benefits of AI-driven learning and ensure that AI is seen as an enhancement.
- Measuring ROI: Measuring the ROI of AI-driven learning programs is essential for HR leaders to justify continued investment in AI technology. AI-powered analytics should track learning progress, skill acquisition, and business impact to present quantifiable evidence of success.
By proactively addressing these challenges, HR leaders can maximise the value of AI in learning and development.
How can Infosys BPM help deploy AI in human resources?
With a transformation-driven approach, Infosys BPM creates customised roadmaps that focus on enhancing the employee experience, ensuring compliance, achieving operational excellence, and improving working capital efficiency. Infosys BPM drives continuous improvement through industry-leading practices, maturity models, and benchmarking, along with AI in human resources.
