Artificial Intelligence in FinTech: Catalyzing Financial Innovation and Entrepreneurial Venture Creation
DOI:
https://doi.org/10.70917/ijcisim-2026-5439Keywords:
Artificial Intelligence, FinTech, Financial Innovation, Entrepreneurial Venture Creation, Digital Finance, Machine Learning, FinTech Entrepreneurship, Predictive Analytics, Financial Services, Technology-Driven Entrepreneurship, Digital Transformation, AI-Enabled Business ModelsAbstract
Artificial Intelligence (AI) is transforming the FinTech industry, revolutionizing financial solutions, enhancing information-driven choices, and ushering in new chances for entrepreneurial venture development. The FinTech sector is experiencing a transformative influence from Artificial Intelligence (AI), with its role in innovation and shaping the future of financial solutions, data-driven decision-making, and entrepreneurial venture development. This research aims to explore the potential of using Artificial Intelligence (AI) in the FinTech industry to drive innovation and entrepreneurial growth opportunities. It delves into the ways that technologies like machine learning, predictive analytics, natural language processing, intelligent automation and AI-based decision systems are redefining traditional financial services and enabling the growth of technology-based business models. The study aims to understand the potential of using AI for efficient operations, customer personalization, risk assessment, fraud prevention, and provision of financial services, and its implications for entrepreneurial experimentation and venture formation. It also explores the significance of AI-driven fintech solutions in terms of opportunities identification, resources optimization, penetration, and scaling financial products. At the same time, the concepts of data privacy, algorithmic bias, cybersecurity, regulatory uncertainty, technological dependence and accessibility of AI capabilities are examined. The research method used in the study is qualitative, conceptual and analytical based on nature problem and aspect analysis. This study uses a conceptual and analytical research method that uses secondary data (literature review) in order to understand the relationship between the implementation of AI, financial innovations, and entrepreneurial activities. The results suggest that AI can be leveraged as a tech tool to boost efficiency and productivity, but most importantly as a tool to generate new businesses, reduce the hurdles of entrepreneurship and innovate new financial products and services. The study indicates that the potential of AI-powered FinTech ecosystems to transform will require responsible use of AI, supportive laws and regulations, digital infrastructure, and entrepreneurial competence.