Artificial Intelligence in Banking and Financial Services: Emerging Trends and Implications for Commerce and Management

Artificial Intelligence (AI) has emerged as a transformative technology in the banking and financial services sector, significantly influencing the way financial institutions operate and deliver services. The integration of AI-driven technologies such as machine learning, predictive analytics, chatbots, and automated decision-making systems has enhanced operational efficiency, improved risk management, and strengthened customer experience in the financial ecosystem. AI applications enable banks to analyse large volumes of data, detect fraudulent transactions, personalize financial products, and provide faster and more accurate services to customers. In recent years, financial institutions have increasingly adopted AI-based tools to streamline internal processes, reduce operational costs, and improve regulatory compliance. Furthermore, AI-driven innovations have contributed to the growth of digital banking and FinTech solutions, thereby reshaping traditional banking models and promoting a more technology-oriented financial environment. From a commerce and management perspective, the adoption of AI has significant implications for strategic decision-making, organizational efficiency, and competitive advantage in the financial sector. Despite its numerous benefits, the implementation of AI also presents challenges such as data privacy concerns, ethical considerations, and the need for skilled human resources. Therefore, understanding the emerging trends and managerial implications of AI is essential for financial institutions aiming to sustain growth in the rapidly evolving digital economy. This study aims to examine the emerging trends of Artificial Intelligence in banking and financial services and analyze its implications for commerce and management in the contemporary digital era.