Due to the continual advancement of the business world, leadership and management are also getting influenced by the introduction of AI. This paper aims to discuss the assignment of leadership strategies with the help of advanced methodologies that are developed with the integration of NLP-based sentiment analysis and Graph Neural Networks. This creates an opportunity for leaders to input huge amounts of unstructured data that can be analyzed from feedback from employees, discussions on social media platforms, and organizational reports where leaders can be able to determine sentiment analysis and issues that might be arising. Thus, integrating NLP with sentiment analysis ensures that leaders get the deserved notification of low employee morale, anticipate organizational change, and improve communication. Furthermore, it applies Graph Neural Networks to deal with relations between individuals, teams, and organizational structures, which give a broader perspective of the enterprise. They enable leadership to match influencers, coordination levels and opportunities for enhancement so as to make improved decisions. This paper also captures the role of AI in exhibiting leadership that would encourage the management to be more flexible and willing to appreciate other new changes in the business environments. With the help of such technologies, organizations are now able to enhance their decision-making, promote innovation and hence promote increase the level of commitment in the organizations among the workers. It provides useful data and recommendations about the current approach to employment of AI and its implementation in the leadership positions and can be considered as a groundwork for the further expansion of AI trends within the management sphere.