Artificial Intelligence in Leadership and Management: Current Trends and Future Directions

Artificial Intelligence (AI) is transforming leadership and management across industries. This paper reviews recent literature on the intersection of AI and leadership, highlighting key trends, challenges, and future directions. This paper identifies critical gaps in current research and practice regarding the integration of Artificial Intelligence (AI) in leadership roles. It proposes potential solutions based on a review of recent literature. This paper systematically reviews current research on AI's role in leadership, identifying three key areas of impact: (1) enhanced strategic decision-making through human-AI collaboration, (2) evolution of leadership styles in digital environments, and (3) organizational challenges in AI adoption. Based on the peer-reviewed studies, we highlight significant improvements in decision accuracy and speed when combining AI tools with human judgment. The study reveals critical gaps in implementation, including cultural adaptation, ethical governance, and long-term effectiveness measurement. We propose practical frameworks for AI integration in leadership, emphasizing the balance between technological capabilities and human-centered values. Key findings demonstrate the growing importance of digital leadership competencies while underscoring persistent challenges in workforce adaptation and ethical considerations. The paper concludes with actionable recommendations for practitioners and identifies priority areas for future research, including sector-specific adoption strategies and standardized evaluation metrics for AI-enhanced leadership.