The Impact of Artificial Intelligence on Decision-Making in Business Management

Artificial Intelligence (AI) has emerged as a transformative force in business management, revolutionizing decision-making processes across industries. This paper explores the multifaceted impact of AI on managerial decision-making, emphasizing its role in enhancing efficiency, accuracy, and strategic planning. The study highlights how AI-driven tools, such as predictive analytics, machine learning algorithms, and natural language processing, empower managers to process large volumes of data, identify patterns, and generate actionable insights. It examines the integration of AI in critical business functions, including operations, marketing, and human resource management, and its ability to mitigate biases traditionally associated with human decision-making. The paper also addresses challenges, such as ethical considerations, data security, and the potential displacement of human roles, emphasizing the need for a balanced approach to AI adoption. Case studies from leading organizations illustrate the practical applications and outcomes of AI-driven decision-making. The findings suggest that while AI significantly enhances decision-making capabilities, its success depends on human oversight, organizational readiness, and a clear alignment with strategic objectives. This research underscores the importance of leveraging AI not as a replacement for human judgment but as a complementary tool that fosters innovation and competitiveness in business management.

The Impact of Artificial Intelligence on Decision-Making in Business Management Keywords:

Artificial Intelligence , Decision-Making , Business Management