From Fear to Trust: An Integrated Perspective of Investors Perception towards Role of AI in Investment Decision-Making

The rapid advancements in artificial intelligence (AI) have significantly influenced various sectors, including financial decision-making. This study explores the attitudes and perceptions of investors in the Delhi NCR region regarding the integration of AI tools into the investment process. By examining the transition from skepticism to trust, the study explores into critical factors such as ease of use, risk-reward optimization, and the influence of transparency on trust-building. A structured questionnaire was designed to collect data, employing a judgmental sampling method to target investors with varied experience levels and familiarity with AI-driven financial tools. The research seeks to provide a significance understanding of the interplay between emotional barriers, technological trust, and investor confidence, offering an integrated perspective on how AI adoption is shaping modern investment behavior. Key findings aim to highlight the catalysts for trust development, the challenges investors face in adopting AI, and their expectations of its role in enhancing financial outcomes. By providing actionable insights, this paper contributes to the growing discourse on AI's transformative impact on behavioral finance and offers practical recommendations for financial institutions and fintech companies to bridge the trust gap. The study underscores the importance of a transparent, user-friendly, and personalized approach to AI-driven investment platforms to ensure broader acceptance among investors. This research is particularly relevant as AI continues to redefine the investment landscape, paving the way for further studies on the intersection of technology and human decision-making in finance