THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON MANAGERIAL DECISION-MAKING

Abstract

Artificial intelligence has triggered an unprecedented structural transformation in the decision-making processes of contemporary organizations, redefining the speed, precision, and the very logic of strategic choices by integrating complex predictive models and the processing of massive volumes of heterogeneous data in real time. This article critically analyzes how these algorithmic systems impact corporate management and the configuration of authority, based on bibliographic research guided by Gil (2017) and Severino (2021) which mobilizes the analysis of twelve seminal authors in the fields of technology, scientific methodology, and organizational behavior. Results highlight that while technology optimizes operational efficiency and reduces traditional cognitive biases, it simultaneously introduces severe ethical hurdles related to the opacity of so-called "black-boxes" and the erosion of responsibility, concluding that managerial effectiveness in the 21st century depends on building hybrid governance that harmonizes computational robustness with human judgment grounded in accountability and institutional transparency.