IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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IMPACT OF ARTIFICIAL INTELLIGENCE (AI) AND TECHNOLOGY ON INVESTMENT AND MARKETING

AUTHORS:
Aryan Singh
Ayaan Singh
Mentor
Prof. Vineet Suri
Affiliation
B.Com ACCA Student, Sharda School of Business Studies, Sharda University, Greater Noida
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

 In this article, the researcher explains how the existing digital environment has had an impact on how investment and marketing processes are carried out through the use of Artificial Intelligence (AI) and the latest technology. With technologies, such as machine learning, big data analytics, and automation, rapidly developing, AI has become a powerful tool that can influence the financial decision-making process and marketing strategy. The application of AI-based systems has interfered with the traditional investment processes by providing information-supportive insights, predictive analysis, and automatic trading, minimizing human bias, and maximizing performance. The research is aimed at various demographic groups in terms of investor and consumer behaviour, awareness, perceived benefits and concerns related to the utilization of AI. Primary data was gathered among 50 respondents and indicates that awareness of AI-based application in investment, such as robo-advisors and automated trading systems, and personalized marketing methods used by businesses, is growing. These results indicate that AI and technology can not just facilitate the accuracy and efficiency of investments, but also considerably increase the customer engagement owing to the easy and customized marketing techniques. However, such concerns as the privacy of data, the addiction to technology, mistrust toward automated systems remain. All in all, the results indicate that AI and technology may be called the new and the transformative technologies that will determine the future of investment and marketing.


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Singh, A. & Singh, A. (2026). Impact of Artificial Intelligence (AI) and Technology on Investment and Marketing. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.471

Singh, Aryan, and Ayaan Singh. "Impact of Artificial Intelligence (AI) and Technology on Investment and Marketing." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.471.

Singh, Aryan, and Ayaan Singh. "Impact of Artificial Intelligence (AI) and Technology on Investment and Marketing." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.471.

References
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4.Davis, K. (2022). Data privacy and ethical challenges in artificial intelligence. Journal of Digital Ethics, 5(2), 78–90.

5.Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25.

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7.Kumar, V., Gupta, S., & Sharma, R. (2021). Artificial intelligence in marketing: A review and future directions. International Journal of Marketing Studies, 9(2), 101–115.

8.Lee, J., & Shin, D. (2020). The impact of artificial intelligence on financial markets and investment decision-making. Journal of Financial Innovation, 12(3), 45–60.

9.Smith, A. (2020). Algorithmic trading and its impact on financial markets. Journal of Finance and Technology, 8(1), 22–
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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