The Impact of Artificial Intelligence on Leadership: A Systematic Literature Review of Emerging Aspects and Organizational Effectiveness

Purpose: In today’s working environment, constant change has become the norm. Various departments are undergoing transformations from traditional systems to those more suitable for a technology-driven environment. This systematic literature review investigates the evolving landscape of leadership strategies in the context of artificial intelligence integration within organizations. Technological advancements necessitate a transformation in leadership approaches to harness AI's potential effectively while addressing associated challenges such as ethical concerns and human-machine collaboration. Design/methodology/approach: This research is a systematic literature review conducted using the PRISMA framework. Relevant academic publications were sourced from reputable databases, including Web of Science, Scopus, and EBSCO. A total of 50 documents were analysed to identify recurring themes and strategic approaches. Findings: The review identified four primary leadership aspects emerging in the context of AI integration: Implementation of Agile Leadership, AI decision-making, Ethical AI governance and Fostering collaborative environments. The findings indicate that the incorporation of these tactics can significantly enhance organizational responsiveness, accountability, decision-making quality and employee engagement. Research limitations/implications: The study is limited by the scope of literature available at the time of review and may not capture the most recent developments in rapidly evolving AI technologies. Furthermore, the findings are based on secondary data and lack empirical testing. Organizations may use this insights to align their leadership practices with the demands of a technology-driven environment. Originality: This review uniquely synthesizes leadership approaches tailored to AI integration and offers a structured strategic framework combining agility, ethics, and collaboration. It contributes to the still limited body of research addressing leadership transformation in the AI era.