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This viewpoint paper aims to explore the adoption of artificial intelligence (AI) in personalized learning for employees and its potential, challenges and ethical consideration to transform the landscape of employee’s performance improvement.

A review of relevant research papers, articles and case studies is done to highlight developments in research and practice.

Personalised learning powered by AI will transform employee education and training as AI evolves, helping individuals and organisations succeed in an ever-changing, knowledge-driven world. Concerns like data privacy, algorithmic bias and human engagement must be addressed to achieve ethical and fair implementation.

This paper discusses the overall influence of AI adoption on personalised learning for employees. It examines how AI technologies have the ability to disrupt traditional learning methodologies, modify organisational learning cultures and encourage an environment that fosters ongoing learning and innovation.

This viewpoint paper investigates the changing role of leadership in a dynamic, technologically driven society, and the vital requirement for leaders to engage in continuous self-upskilling to remain effective. It emphasizes the importance of generative artificial intelligence (GAI) in transforming personalized learning experiences for leaders and allowing them to adapt to an ever-changing world.

A review of current research papers, articles, and case studies is conducted to evaluate the integration of generative AI in leadership self-upskilling. It examines the possibilities and possible benefits of generative AI, and the issues it offers regarding data privacy, algorithmic bias, and learning requirements.

The findings highlight the transformational potential of GAI in self-upskilling for leaders. It demonstrates how GAI can build personalized learning materials, provide real-time feedback, and adapt content to individual learning styles. It identifies notable executives who have effectively embraced GAI for their self-upskilling journeys, resulting in increased productivity and competitiveness.

The paper investigates the application of GAI for self-improvement, addressing challenges such as data privacy and algorithmic bias while suggesting responsible AI use tactics.

This study investigates the relationship between leadership and AI, emphasizing the importance of leaders in self-improvement as well as the possibility of AI-powered self-upskilling to democratize leadership development while also promoting ethical use.