In recent years, technological developments have led banks to take steps towards utilizing the capabilities of artificial intelligence in order to increase productivity, speed and accuracy of services, and also to strengthen innovation. The main challenge in this direction has been the lack of sufficient awareness and employee resistance, which can affect the creativity and effective performance of employees. Therefore, the purpose of the present study is to design a network of themes for using artificial intelligence to enhance employee creativity in the banking industry. The present study was conducted using a qualitative method. In this study, using a thematic analysis approach, qualitative data were collected through in-depth interviews with 14 banking and academic experts who were selected using a purposeful method, and patterns and key dimensions of creativity and application of artificial intelligence were extracted using Atlas T software. After reaching theoretical saturation, the extracted data became the basis for developing a conceptual model. Research findings show that the use of artificial intelligence in banking processes, while improving the quality of data analysis, facilitating decision-making, increasing security and improving customer service, provides the necessary basis for the growth of creative behavior and innovation of employees. Key factors identified in promoting employee creativity include: organizational and group interactions, developing a dynamic organizational culture and structure, specialized training in digital skills and motivating employees to participate and share knowledge.