The Role of AI tools and Literature in Understanding Leadership Styles and Social Change in Business Management

Artificial Intelligence (AI) tools and literature play a transformative role in understanding leadership styles and their impact on social change within business management. This study explores the intersection of AI-driven analytics and scholarly contributions in shaping leadership theories, decision-making processes, and social transformations. AI-based tools such as sentiment analysis, machine learning models, and natural language processing enable business leaders to adapt to dynamic environments while fostering inclusivity, ethical leadership, and sustainable development. The research delves into the implications of AI-assisted leadership assessments, predictive analytics, and evidence-based decision-making to drive organizational success. Additionally, literature reviews on leadership paradigms highlight the evolution of traditional, transformational, and servant leadership styles in response to global socio-economic shifts. This study underscores the necessity of integrating AI tools with leadership research to enhance strategic thinking, employee engagement, and adaptability in contemporary business landscapes. The findings contribute to the broader discourse on leadership’s role in driving corporate responsibility and social impact, emphasizing AI’s capacity to refine leadership models and promote innovation.