International Journal of Science, Engineering and TechnologyAuthors: Obadah Khalaf Kayed Gharaibeh
Abstract: Artificial intelligence (AI) is increasingly embedded in organizational processes, subtly reshaping managerial decision-making while often operating as an “invisible manager.” This paper examines how AI-driven systems influence managerial roles, authority, and cognition across strategic, tactical, and operational levels. Drawing on recent empirical studies and conceptual literature, the review explores the use of AI in decision support, predictive analytics, performance monitoring, and algorithmic management. Evidence suggests that AI enhances decision quality, speed, and consistency by enabling data-driven insights, reducing cognitive bias, and automating routine managerial tasks. At the same time, the growing reliance on algorithmic recommendations raises critical challenges related to transparency, accountability, ethical governance, and the potential erosion of managerial autonomy and human judgment. The paper also discusses how human–AI collaboration is redefining managerial competencies, shifting emphasis toward sense-making, ethical oversight, and strategic interpretation rather than direct control. We conclude that while AI has the potential to augment managerial effectiveness and organizational performance, its successful integration requires thoughtful governance frameworks, managerial upskilling, and mechanisms to ensure responsible, explainable, and human-centered decision-making.
DOI: http://doi.org/10.5281/zenodo.18411175
