Impact of Artificial Intelligence on Investment Decision-Making
DOI:
https://doi.org/10.5281/zenodo.17667583Keywords:
Artificial Intelligence, Investment Decision-Making, Machine Learning, Algorithmic Trading, Robo-Advisory SystemsAbstract
This research paper examines the impact of Artificial Intelligence (AI) on investment decision-making using secondary data and existing literature. The study analyzes key AI tools—including machine learning, deep learning, natural language processing, and predictive analytics—and their applications in algorithmic trading, portfolio optimization, and robo-advisory services. Findings indicate that AI significantly enhances forecasting accuracy, improves risk management, reduces human biases, and strengthens overall decision efficiency compared to traditional approaches. The analysis also highlights differing adoption patterns between retail and institutional investors. Despite the advantages, the study identifies critical challenges such as data privacy concerns, algorithmic transparency issues, ethical risks, and potential over-reliance on automated systems. The paper concludes that while AI is reshaping the financial landscape and investment practices, responsible integration supported by strong regulation and continuous monitoring is essential for sustainable use.
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References
Arifian, D., Mudawanah, S., Herlina, & Sofana, A. I. (2024). The impact of artificial intelligence on investment decision-making. Islamic Studies in the World, 1(2). https://doi.org/10.70177/isw.v1i2.1522
Anuar, A. A., et al. (2025). Comparative analysis of AI-driven versus human-managed funds. Future Business Journal.
Bai, T. R., Jeena, R., & Shanavas, A. (2024). Sustainable finance and use of artificial intelligence in investment decision making. International Journal of Advanced Research, (Sep), 1212–1218. https://dx.doi.org/10.21474/IJAR01/19554
Bahoo, S. (2024). Artificial intelligence in Finance: A comprehensive review. Springer Journal.
Guo, J., Wang, S., Ni, L. M., & Shum, H.-Y. (2022). Quant 4.0: Engineering quantitative investment with automated, explainable and knowledge-driven artificial intelligence. arXiv.
Kumar, K. N., & Renuka, R. (2025). The impact of artificial intelligence on financial decision-making. Journal of Information Systems Engineering and Management, 10(47 s).
Guo, J., Wang, S., Ni, L. M., & Shum, H.-Y. (2022). Quant 4.0: Engineering quantitative investment with automated, explainable and knowledge-driven artificial intelligence. arXiv.
Khanna, P. (2021). Evaluating the impact of artificial intelligence on investment decision-making in finance. International Journal of Research in Finance and Management, 4(1), 78–84.
Kumar, K. N., & Renuka, R. (2025). The impact of artificial intelligence on financial decision-making. Journal of Information Systems Engineering and Management, 10(47s).
Khanna, P. (2021). Evaluating the impact of artificial intelligence on investment decision: Making in Finance. International Journal of Research in Finance and Management, 4(1), 78–84. https://doi.org/10.33545/26175754.2021.v4.i1a.248
Mahajan, K. (2024). Transforming financial decision-making with artificial intelligence: A comprehensive study on ai-driven algorithms for investment, trading, and portfolio management. Journal of Electrical Systems, 20(10s).
McKinsey & Company. (2022). The state of AI in 2022 — and a half-decade in review.
Mienye, E. (2024). Deep learning in finance: A survey of applications. MDPI.
Panwar, M. S., Aggarwal, K., Jamwal, N., Saini, A., & Sharma, M. (2025). Analyzing the impact of AI-driven financial advisory services on investment decision-making. International Journal of Environmental Sciences, 11(14s), 1158–1170. https://doi.org/10.64252/37hn9w50
Pattnaik, D. (2024). Applications of AI and ML in banking and financial services: A bibliometric review. Science Direct.
PwC. (2017/updated reports). Sizing the prize — AI’s potential economic impact.
ResearchGate. (2022). Portfolio optimization using artificial intelligence: A systematic literature review.
Saoudi, S. E., & Zidane, B. (2025). The role of artificial intelligence in financial decision-making: Opportunities and risks. International Journal of Economic Perspectives, 19(5), 2381–2393.
Sujarwo, M. D. A., & Utama, A. G. S. (2025). AI-driven financial planning: The future of investment advice through advanced analytics. Jurnal Akuntansidan Keuangan, 13(2). https://doi.org/10.29103/jak.v13i2.23452
SSRN. (2025). The AI revolution in investment advisory: Global robo-advisory growth projections.
Vancsura, L. (2025). Navigating AI-driven financial forecasting: A systematic review. MDPI.
Zhao, Y. (2025). How to optimize modern portfolio theory? A systematic review. ScienceDirect.
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Copyright (c) 2025 Vandana Saini
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Research Articles in 'International Journal of Engineering and Management Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.
