The Integration Of Artificial Intelligence In Strategic Decision-Making Examining The Balance Between Human Intuition And Machine Learning Algorithms In Modern Management Frameworks

Abstract

AI has already evolved as a game-changer to be applied in strategic decision-making in modern management strategy. Reference Idea. This study examines the intricate dynamics of strategic decision-making between human intuition and machine learning algorithms. While AI excels at processing enormous amounts of data, describing data, and identifying trends, predictive analytics reduces the need for human intuition necessary for handling complex, subjective, and uncertain situations. Using a thorough exploration of existing literature, this study analyzes various ethical frameworks employed by researchers, explores the decreasing cost of AI in decision-making and enhanced skill applicability, scalability of AI applications to improve performance, but underscores the critical open challenge of human insight to address unstructured data, drive innovation, economic prosperity, and strengthen ethical frameworks. A combination of leveraging the strengths of each center, AI, and human intuition is the way to a better strategic outcome, the results show. The analysis shows that the companies that achieve the best results typically use a hybrid approach that harnesses AI’s computational strength while retaining the situational awareness and creative problem-solving skills of human decision-makers. In this systematic study, critical challenges (like algorithmic bias, over-reliance on AI, and the need for human supervision) have been highlighted , and future research pathways have been proposed to dispute these issues. This research also adds to the understanding of how artificial intelligence (AI) can be smoothly integrated into strategic decision-making processes without compromising human judgment by balancing technological advances with human cognitive abilities.