Transforming portfolio management with AI and ML: shaping investor perceptions and the future of the Indian investment sector

Artificial Intelligence (AI) and Machine Learning (ML) have now became a key component across multiple sectors, particularly in the field of portfolio management, Where accuracy and effectiveness are essential. The implementation of AI and ML in this domain represents a major change from traditional methods. This study applies non-probability convenience sampling along with visual representation tools like bar graphs and pie charts to analyse the responses from Indian investors. This work shows that the implementation of AI and ML in asset management firms is moving forward, but there is a lack of awareness among investors about their implications. 33% of respondents prefer working with a certified analyst, while 56.6% would rather prefer a combination of human expertise and AI/ML assistance. More than 58% have noticed improvements in the accuracy of market predictions with AI/ML, but many are still unsure about whether AI can provide the personal touch that humans offer. Financial firms need to prioritize educating investors about the benefits and risks of AI/ML.This study helps investors and companies understand each other better. It also gives us a glimpse into how AI and machine learning will shape asset management in the future.

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Publication Details

Journal
IET conference proceedings.
Published
2025-06-27
DOI
https://doi.org/10.1049/icp.2025.1558
Citations
7
Primary Topic
Private Equity and Venture Capital
Type
article
Field-Weighted Citation Impact
27.37
Controls
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article

Transforming portfolio management with AI and ML: shaping investor perceptions and the future of the Indian investment sector

Gaurav Kumar Soni, Harshita Kaushik, Prince Jain, Ravi Joshi et al.
7 citations
IET conference proceedings.
Private Equity and Venture Capital
27.37
article

Transforming portfolio management with AI and ML: shaping investor perceptions and the future of the Indian investment sector

Gaurav Kumar Soni, Harshita Kaushik, Prince Jain, Ravi Joshi, Neeraj Sharma, Sweety A. Saiyed
article en
7 citations

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) have now became a key component across multiple sectors, particularly in the field of portfolio management, Where accuracy and effectiveness are essential. The implementation of AI and ML in this domain represents a major change from traditional methods. This study applies non-probability convenience sampling along with visual representation tools like bar graphs and pie charts to analyse the responses from Indian investors. This work shows that the implementation of AI and ML in asset management firms is moving forward, but there is a lack of awareness among investors about their implications. 33% of respondents prefer working with a certified analyst, while 56.6% would rather prefer a combination of human expertise and AI/ML assistance. More than 58% have noticed improvements in the accuracy of market predictions with AI/ML, but many are still unsure about whether AI can provide the personal touch that humans offer. Financial firms need to prioritize educating investors about the benefits and risks of AI/ML.This study helps investors and companies understand each other better. It also gives us a glimpse into how AI and machine learning will shape asset management in the future.

IET conference proceedings.Vol. 2025(7)
JECRC University (IN), Vivekananda Global University (IN), Manipal University Jaipur, Parul University (IN)
Openalex Percentile: Top 1%
Private Equity and Venture Capital
27.37
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Transforming portfolio management with AI and ML: shaping investor perceptions and the future of the Indian investment sector — Gaurav Kumar Soni, Harshita Kaushik, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS