Authors: Theertha Prasad K
Abstract: – This study investigates the long-term socioeconomic consequences of Artificial Intelligence (AI) adoption in the Indian FinTech sector through a quantitative survey approach. The primary objectives were to assess economic effects such as productivity gains, employment impacts, and cost efficiency; evaluate social outcomes including financial inclusion, consumer trust, digital equity, and user satisfaction; capture stakeholder perceptions of opportunities and risks; and examine whether AI contributes to inclusive growth or reinforces divides. Data were collected from 412 FinTech professionals across India’s major financial hubs—Bengaluru, Mumbai, Hyderabad, and Delhi-NCR—using a structured questionnaire comprising 28 items. Stratified random sampling ensured representation from startups, mid-sized firms, and large enterprises. Responses were analyzed using SPSS v.28, applying descriptive statistics, correlation, and regression analysis. The results revealed strong positive economic impacts, with professionals noting significant gains in productivity, decision-making speed, and profitability, though employment effects were mixed. Socially, AI was perceived to advance financial inclusion and customer satisfaction, while concerns remained regarding digital divides, privacy, and trust. Regression results showed that stakeholder perceptions were the strongest predictor of inclusive growth, highlighting the decisive role of professional views in shaping sustainable AI adoption. The findings contribute to filling the literature gap by quantifying interconnected economic, social, and perceptual outcomes, offering critical implications for policymakers, practitioners, and academics in ensuring AI fosters equitable and inclusive development in India’s FinTech ecosystem.
DOI: http://doi.org/
