Trust or Turn Away: How Hyper-Personalized AI in Financial Apps Shapes User Behavior in the Dominican Republic

This survey-based study (N = 100 survey participants) examines how hyper-personalized AI features in Dominican financial apps influence user trust and adoption. Descriptive and regression analyses reveal that transparency and perceived control significantly predict trust, which in turn predicts whether users follow app recommendations. While 65% of users rely on apps daily, only 34% follow AI suggestions regularly. These findings highlight the importance of explainability, transparency, and inclusive design in building trust. A process framework is proposed to guide policymakers, developers, and banks in creating more transparent and user-centered financial technologies.

keywords: behavioral economics, artificial Intelligence, financial technology, user trust, Dominican Republic, hyper-personalization, digital economy, financial decision making