Abstract

The application of artificial intelligence (AI) in financial investments has transformed investment decision-making by providing customized investment solutions and advanced predictive analytics. However, using AI in financial investment is accompanied by critical concerns surrounding data bias, market volatility, lack of transparency, and ethical concerns, resulting in investment-related stress. The present study identifies and examines the important factors impacting stress in financial investment due to the application of artificial intelligence. Using a Delphi technique and Social Network Analysis utilizing UCINET software, nine factors were determined, including perceived loss of control, reduced human interaction, algorithm bias, and over-reliance on AI. This research explored the interrelationships and cascading effect of these identified factors on stress, and key stress-inducing factors like transparency issues, decision fatigue, perceived loss of control, and over-reliance on AI are determined as critical factors affecting investor behavior. The findings highlight the significance of addressing psychological and technological challenges through user education, enhanced transparency, and ethical AI practices to maximize investor trust and confidence. This study offers important implications for policymakers, financial institutions, and academics. By addressing the underlying stressors, stakeholders can design equitable, efficient, and user-friendly AI systems that stimulate a more positive and inclusive investment environment.