Redefining Investment Decisions in Jammu and Kashmir: The Power of Artificial Intelligence
Abstract:
This research delves into the dynamic influence of Artificial Intelligence (AI) in revolutionizing investment deci sion-making in Jammu and Kashmir, unveiling its promise alongside its complexities. Descriptive analysis shows a 68.8% AI adoption rate among 250 investors, with robo-advisors and algorithmic trading being the most common tools. Inferential analyses, including a Chi-square test (χ² = 12.47, p = 0.0004) and T-test (t = 4.92, p < 0.001), indicate that institutional investors adopt AI more frequently and perceive greater benefits than retail investors. Structural Equation Modelling (SEM) confirms AI’s significant positive impact on decision accuracy, speed, and efficiency (path coefficients 0.50–0.60, p < 0.001), enhancing investor satisfaction. However, Exploratory Factor Analysis (EFA) identifies Operational Risks (42.6% variance) and Ethical Risks (31.8% variance), such as trans parency, bias, and privacy concerns, as major barriers. The study concludes that AI can redefine investment prac tices in Jammu and Kashmir but requires addressing regional challenges like low awareness and infrastructure gaps. Future implications include developing accessible AI tools, ethical governance frameworks, and cross-sec toral applications to foster inclusive and sustainable financial growth.
