Impact of AI on Investment Decision and Financial Inclusion of Rural India: A Study on Young Rural Women Near Ranchi District

Abstract: The integration of Artificial Intelligence (AI) into the financial sector has revolutionized investment decision-making, offering a powerful tool to empower individuals in making informed choices about their financial future. This research paper explores the impact of AI on the investment decisions of rural consumers, shedding light on the transformative potential of AI in promoting financial inclusion in underserved regions. Rural consumers in emerging economies face unique challenges in accessing financial services and making sound investment decisions. The study aims to investigate how AI technologies, including machine learning algorithms and predictive analytics, can address these challenges by providing personalized investment advice, risk assessments, and portfolio optimization for rural consumers. It examines the key factors that influence the adoption and acceptance of AI-driven investment solutions among rural populations. Through a mixed-method research approach, including surveys, interviews, and data analysis, this paper analyses the application of AI in rural investment decision-making. It discusses the benefits of AI, such as improved risk management, increased financial literacy, and enhanced access to financial markets. Additionally, the research assesses potential concerns, including data privacy, ethical considerations, and the need for human oversight in AI-driven investment processes. The findings suggest that AI can bridge the financial literacy gap in rural areas and enhance the investment decision-making capabilities of rural consumers. However, this transformation requires a holistic approach, encompassing not only the development and deployment of AI technology but also regulatory frameworks and educational initiatives to ensure its responsible and equitable use. In conclusion, this research paper highlights the pivotal role of AI in democratizing access to financial opportunities for rural consumers, ultimately contributing to greater financial inclusion and economic growth in rural regions. It offers valuable insights for policymakers, financial institutions, and technology developers aiming to leverage AI to improve investment decisions and financial well-being for rural populations.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-10-31
DOI
https://doi.org/10.22214/ijraset.2024.64883
Citations
1
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
1.13
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article

Impact of AI on Investment Decision and Financial Inclusion of Rural India: A Study on Young Rural Women Near Ranchi District

Amar Kumar Chaudhary, Sourav Poddar
1 citations
International Journal for Research in Applied Science and Engineering Technology
COVID-19 Pandemic Impacts
1.13
article

Impact of AI on Investment Decision and Financial Inclusion of Rural India: A Study on Young Rural Women Near Ranchi District

Amar Kumar Chaudhary, Sourav Poddar
article en
1 citations

Abstract

Abstract: The integration of Artificial Intelligence (AI) into the financial sector has revolutionized investment decision-making, offering a powerful tool to empower individuals in making informed choices about their financial future. This research paper explores the impact of AI on the investment decisions of rural consumers, shedding light on the transformative potential of AI in promoting financial inclusion in underserved regions. Rural consumers in emerging economies face unique challenges in accessing financial services and making sound investment decisions. The study aims to investigate how AI technologies, including machine learning algorithms and predictive analytics, can address these challenges by providing personalized investment advice, risk assessments, and portfolio optimization for rural consumers. It examines the key factors that influence the adoption and acceptance of AI-driven investment solutions among rural populations. Through a mixed-method research approach, including surveys, interviews, and data analysis, this paper analyses the application of AI in rural investment decision-making. It discusses the benefits of AI, such as improved risk management, increased financial literacy, and enhanced access to financial markets. Additionally, the research assesses potential concerns, including data privacy, ethical considerations, and the need for human oversight in AI-driven investment processes. The findings suggest that AI can bridge the financial literacy gap in rural areas and enhance the investment decision-making capabilities of rural consumers. However, this transformation requires a holistic approach, encompassing not only the development and deployment of AI technology but also regulatory frameworks and educational initiatives to ensure its responsible and equitable use. In conclusion, this research paper highlights the pivotal role of AI in democratizing access to financial opportunities for rural consumers, ultimately contributing to greater financial inclusion and economic growth in rural regions. It offers valuable insights for policymakers, financial institutions, and technology developers aiming to leverage AI to improve investment decisions and financial well-being for rural populations.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(10)
Openalex Percentile: Top 11%
COVID-19 Pandemic Impacts
1.13
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