This paper examines the application of artificial intelligence (AI) in the early stages of the design process, with a specific focus on using AI to develop user-centered designs during the concept phase. The paper presents a qualitative literature study that employs cloud-based tools like Notion and Lateral to organize and categorize relevant research articles. Additionally, the study continuously compares keywords to gain a comprehensive understanding of the topics covered. Its objective is to emphasize the significance of user-centered design and offer a fresh perspective on how AI can assist designers in creating designs that cater to user needs. The paper explores various AI tools and techniques, such as natural language processing (NLP) and machine learning, which can be employed to analyze user data and provide insights into user behavior. Furthermore, it underscores the importance of designers possessing a deep understanding of information architecture, user experience (UX), and interface design to fully leverage the potential of AI tools. While AI tools cannot replace human creativity and expertise, designers must be able to effectively interpret the data provided by these tools and use them to inform their design decisions. The study provides valuable insights into the integration of AI into the design process, resulting in more effective and user-centered designs. It serves as a valuable resource for designers, researchers, and individuals interested in exploring the possibilities of AI in design.