Artificial Intelligence is profoundly affecting Management Sciences research. From a broader perspective of Management Sciences, this paper develops a “paradigm elements-research process-emerging issues” framework, explains the shifts in light of research scopes, research objects, research assumptions, and research methods, and examines AI-enabled pathways across observation, theory building, hypothesis generation, simulation experiments, and hypothesis testing, along with related mechanisms and boundary conditions. Finally, it discusses key research subjects including human-computer interaction biases and large model-based decision simulation, as well as other directions of future exploration.This paper argues that AI empowering Management Sciences research represents a human-AI collaborative paradigm evolution constrained by data conditions, task structures, theoretical boundaries, interpretability, and external validity.