Transforming Banking and Investment Services with Generative AI and Large Language Models
Abstract
The rapid advancement of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) has introduced transformative opportunities in banking and investment services. This paper examines how these technologies are reshaping customer engagement, financial advisory, and back-office operations through intelligent automation and hyper-personalization. By analyzing customer data, market trends, and regulatory frameworks, LLMs enhance decision-support systems, deliver personalized investment recommendations, and automate compliance reporting with high accuracy. The research presents use cases of AI-enabled robo-advisors, conversational financial assistants, and automated credit assessments, demonstrating significant improvements in operational efficiency and customer satisfaction. Furthermore, the paper discusses challenges such as data privacy, ethical considerations, and model bias, offering strategies for responsible deployment. The study concludes that GenAI and LLMs are not merely incremental tools but foundational drivers of digital transformation in the financial sector, positioning institutions for sustainable growth in an AI-driven future.
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