This paper explores the impact of early prototyping, enhanced by Artificial Intelligence (AI), on the success of Design Thinking projects. Prototyping is a crucial phase in Design Thinking, enabling the transformation of abstract ideas into tangible models for user testing and feedback. By integrating AI technologies\u2014such as generative design, predictive analytics, and machine learning\u2014into the prototyping process, designers can significantly accelerate iteration cycles, improve precision, and enhance user-centered innovation. This research examines how AI-powered prototyping tools help teams rapidly create, test, and refine product models while making data-driven adjustments that align more closely with user needs. The paper reviews case studies from industries that have successfully implemented AI-enhanced prototyping, demonstrating how the technology not only speeds up the development process but also reduces risk by providing real-time feedback and insights. Ultimately, the findings suggest that early AI-integrated prototyping increases the likelihood of project success by fostering continuous improvement, adaptability, and deeper user engagement throughout the Design Thinking lifecycle.<\/p>\n