Nature's systematic scientometric review analyzes AI evolution in finance from 1989-2024, tracking applications in credit scoring, fraud detection, digital insurance, and robo-advisory services while identifying machine learning, NLP, and blockchain as key reshaping technologies. The research reveals significant regulatory gaps, particularly the lack of standardized frameworks for AI implementation across financial institutions despite rapid technological advancement. This peer-reviewed academic analysis emphasizes the critical need for explainable AI (XAI) and robust governance frameworks to ensure transparency, fairness, and accountability in AI-driven financial systems as the industry grapples with balancing innovation and risk management.