Impact of Generative AI on Business Decision-Making

Abstract

Generative Artificial Intelligence (Generative AI) has emerged as a transformative technology that significantly influences modern business operations and managerial decision-making. AI-driven technologies such as ChatGPT, Gemini, Claude, and AI-powered analytics systems are increasingly adopted across industries including healthcare, finance, education, marketing, retail, and human resource management. These technologies enable organizations to automate complex tasks, generate predictive insights, enhance operational efficiency, and improve strategic planning.

The present study examines the impact of Generative AI on business decision-making processes and organizational performance. The study adopts a descriptive and analytical research design using both primary and secondary data sources. Primary data were collected through structured questionnaires distributed among MBA students, professionals, and employees from various sectors. Secondary data were obtained from journals, books, research articles, and business reports.

The findings reveal that Generative AI significantly improves decision-making speed, predictive analytics, customer intelligence, business productivity, and strategic planning capabilities. Correlation and regression analyses indicate a strong positive relationship between AI adoption and decision-making effectiveness. The study also identifies major challenges associated with AI implementation, including ethical concerns, data privacy risks, algorithmic bias, cybersecurity threats, and excessive dependence on automated systems.

The study concludes that Generative AI is becoming an essential component of modern business management and decision science. Organizations that effectively integrate AI technologies with human expertise and ethical governance mechanisms are more likely to achieve sustainable growth, innovation, and competitive advantage.