AI-Driven Strategic Decision-Making for International Business Growth: A Theoretical and Empirical Study

Abstract

Artificial intelligence is increasingly integrated into corporate strategy, but its role in international business growth remains underdeveloped, especially when the quality of strategic decision-making is considered a core explanatory mechanism rather than a contextual condition. This paper explores how AI-driven strategic decision-making impacts international business growth. The study argues that AI does not automatically enhance corporate performance; rather, its contribution depends to some extent on how effectively companies translate data processing, predictive analytics, and algorithmic recommendations into timely and context-appropriate strategic choices in heterogeneous overseas markets. Therefore, this paper proposes that AI should not be viewed as a substitute for managerial judgment, but rather as a conditional enhancement tool for the strategic decision-making process. Further empirical research is needed to test the applicability of the proposed framework in different forms of international business activities.