Exploring Finance Professionals' Psychological and Emotional Experiences with AI Integration in Big Data Analytics
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Abstract
The integration of Artificial Intelligence (AI) in big data analytics has significantly transformed industries, particularly the finance sector, by improving decision-making processes and operational efficiency. Despite the advancements, limited research exists on the subjective experiences of professionals working with AI in this context. This study addresses the knowledge gap regarding the emotional, psychological, and social impacts of AI adoption on professionals in the finance sector. We employ a phenomenological approach to explore how individuals perceive and adapt to AI-driven changes in their work environment. Unlike previous studies that often emphasize quantitative outcomes or organizational-level analysis, the phenomenological approach uniquely uncovers the lived, personal meanings professionals attach to their experiences, providing a deeper and more nuanced perspective. Data were collected through in-depth interviews with 12 finance professionals, revealing key themes related to job insecurity, changes in decision-making authority, and shifts in professional identity. The findings highlight the emotional and psychological challenges associated with AI integration, demonstrating how the phenomenological lens adds value by capturing dimensions of human experience that might otherwise remain overlooked. These insights have significant implications for organizations seeking to improve the employee experience during technological transitions and offer avenues for future research on AI adoption in various industries.
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