The Application and Risks of AI in Enterprise Strategic Decision-Making

The integration of Artificial Intelligence (AI) into corporate strategic decision-making marks a transformational shift in the business landscape. This study explores the applications and associated risks of AI in the context of enterprise decision-making processes. The theoretical framework relies on decision theory and AI-ethics intersection. This article hypothesized that AI can enhance the quality and efficiency of strategic decisions while acknowledging potential ethical and operational risks. Employing a mixed-method approach, including a literature review and case study analysis, this research evaluates the impact of AI on strategic decision-making in diverse business sectors. Findings reveal that AI empowers businesses with data-driven insights, predictive analytics, and automated decision-making processes, contributing to informed, real-time strategies. However, challenges such as algorithmic bias, data privacy, and regulatory compliance were identified as the substantial risks. This study highlights the innovative perspective of integrating risk management into AI deployment strategies, underscoring significant implications for the advancement of business practices and the broader field of AI ethics.