Abstract:
AI integrated leadership entails a revolution in leadership management and
decision-making processes among leaders. AI does not just introduce changes that augment
the existing practices but reforms the leadership processes from the ground up, offering novel
tools like machine learning algorithms and the deep analysis of the data that might help leaders
forecast the future tendencies in the sphere, improve productivity, and make proper decisions
based on the proven KPIs. Nevertheless, it contributes to many problems, especially in ethical
issues, open-mindedness, fairness, and its effects on the workforce. It shows that the future of
leadership agenda will continue focusing on these issues as leaders are expected to
communicate responsibly in such contexts. It has also been identified that with the
advancement of the field of AI and leadership research has also expanded in proliferation with
the number of articles, sources and scholars involved have also established an exponential
growth. This research presents an insight into the significant trends and thematic directions in
the management and leadership field, where AI is becoming a critical focus, offers information
about newer topics in the field, including sustainability, optimization, digital transformation,
and ethical questions. The collaborative networks among authors imply a strong and
connected research community; however, the authors from different countries participated in
the development of this study, and the primary countries are the USA, China, and the UK.
With the advancement of AI becoming more imminent, it is crucial for academicians,
professionals, and policymakers to effectively grasp its consequences towards leadership in
regard to positioning the effectiveness of AI towards organizational outcomes and its
compliance with/impact on ethical and social responsibilities. Apart from the mapping of the
current literature, the identification of trends outlines the overall AI and leadership scholarship
trajectory and future research opportunities while stressing responsible and creative use of AI
in leadership.