Artificial intelligence (AI) has become a disruptive force in company operations and financial markets, changing conventional wisdom and opening up new avenues for growth. A comprehensive evaluation of the literature covering a broad range of research on AI applications in business and finance is presented in this study. The review looks at how AI may improve trading tactics, risk management, fraud detection, and financial forecasting. It covers a range of artificial intelligence (AI) methods, including machine learning, deep learning, and natural language processing, emphasizing how well they analyse large datasets and enhance decision-making. Additionally, the paper discusses how implementing AI may optimize corporate operations, including process automation, predictive analytics, and improving the customer experience. The advantages of AI-driven innovations, such as improved productivity, lower costs, and customized services, are highlighted, as are the drawbacks, such as job displacement, algorithmic bias, and regulatory frameworks. The study ends with suggestions for future lines of inquiry to improve AI’s interpretability, openness, and moral application in commercial and financial settings.
K. K. Kittur (2026) studied this question.