In an era of automation and artificial intelligence (AI) rapidly transforming the workplace, how can leaders effectively manage a hybrid workforce that includes both human employees and AI-powered systems? This challenge requires considering factors such as:

• Skill development and reskilling: How can leaders prepare their human workforce for the evolving skill demands created by AI integration, while also ensuring efficient collaboration between humans and AI?
• Task allocation and delegation:  How should leaders determine which tasks are best suited for human employees and which can be automated by AI, considering factors like creativity, problem-solving, and social intelligence?
• Ethical considerations: How can leaders ensure the responsible and ethical use of AI in the workplace, addressing concerns around bias, transparency, and job displacement?
• Leadership style adaptation: How should leadership styles evolve to manage a workforce with AI co-workers, potentially requiring a shift from direct control to fostering trust, human-AI collaboration, and continuous learning?
• Motivation and performance management: How can leaders keep human employees motivated and engaged in a work environment increasingly dependent on AI, while also establishing effective performance metrics for both human and AI components of the workforce?