Artificial Intelligence’s Effect on Business Operations and Financial Markets

Main Article Content

Prof. K. K. Kittur

Abstract

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.

Article Details

Section

Research Articles

Author Biography

Prof. K. K. Kittur

Lecturer, Post Graduate Department of Commerce, B. V. V. Sangha’s Shri S. R. Kanthi Arts, Commerce and Science College, Mudhol.

How to Cite

K. K. Kittur. (2026). Artificial Intelligence’s Effect on Business Operations and Financial Markets. ಅಕ್ಷರಸೂರ್ಯ (AKSHARASURYA), 17(01), 20 to 23. https://aksharasurya.com/index.php/latest/article/view/2253

References

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Chui, M., Manyika, J., & Mehra, S. (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey Global Institute. Retrieved from https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-modeling-the-impact-of-ai-on-the-world-economy

Chen, M., et al. (2018). Artificial intelligence in finance: Evolution, applications, and challenges. IEEE Intelligent Systems, 33(5), 74-83. https://doi.org/10.1109/MIS.2018.053621397

Ding, M., et al. (2020). Financial market prediction using deep learning: A systematic review and meta-analysis. Information Fusion, 60, 46-61. https://doi.org/10.1016/j.inffus.2020.06.010

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116.

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