Barriers to AI Integration in Banks in Bangladesh

This study examines the challenges of integrating artificial intelligence (AI) in Bangladesh's banking sector, with a focus on identifying the obstacles hindering AI adoption. Employing a mixed-methods approach, this research incorporates quantitative surveys and qualitative interviews with banking professionals. Key findings reveal significant barriers, including a lack of technical expertise, high implementation costs, regulatory challenges, and resistance to change among employees and management. Cultural factors and limited awareness of AI’s potential benefits exacerbate these challenges. Additionally, data privacy and security concerns contribute to reluctance in adopting AI technologies. The study concludes that addressing these barriers through strategies such as enhanced training programs, regulatory reforms, public-private partnerships, and comprehensive change management initiatives could significantly enhance AI integration in the banking sector of Bangladesh. These strategies would not only improve operational efficiency but also lead to better customer satisfaction and competitive advantage. By fostering a supportive regulatory environment and encouraging innovation, banks in Bangladesh can leverage AI to meet evolving market demands. Developing a robust infrastructure to support AI technologies and promoting a culture of unceasing learning and adaptation are essential steps towards successful AI integration. Future research should explore the long-term impact of AI integration on banking sector performance and customer experience, providing deeper insights into the evolving landscape of financial technology in developing economies. Understanding and mitigating these barriers is crucial for successful AI implementation, ensuring that Bangladesh's banking sector can fully realize the benefits of this transformative technology.