This study explores how designers’ experience influences their use of AI-generated image tools in motorcycle design competitions. Through case analysis and observation, two master’s students with identical industrial design backgrounds were studied to examine whether their application of AI tools in the design process differs based on experience. Additional analysis and interviews with other finalists were conducted to further investigate AI’s role in the design process. The research method involved analyzing the two participants’ use of various tools and evaluating their preferences and proficiency with AI-generated tools and other design software using a Likert scale. Additionally, semi-structured interviews were conducted with four finalists to gain deeper insights into designers’ strategies for integrating design software, their prior learning experiences, and how these factors influence their tool selection and attitudes. The findings reveal that incorporating AI into the design process significantly improves efficiency, reduces the time needed for design expression, and accelerates the achievement of intended design outcomes—provided the designer has a clear design concept. However, AI currently struggles to fully comprehend designers’ intended forms through text input alone. Enhancing design quality still relies on traditional tools such as hand sketching and modeling to facilitate communication. Moreover, a designer’s experience is closely related to their choice and frequency of AI tool usage.