The rapidly changing world of design and technology has seen generative artificial intelligence (AI) arise as a transformative force in design prototyping. For instructors in higher education teaching in this field, the act of creating layouts and components for web development is increasingly being taken over by generative AI, and with it, there is a revolution in design prototyping. Consequently, the time and energy demanded of designers appears to be dwindling as efforts in web design are based on the idea that if one can accomplish a task in eight hours, AI can now get it done in just two, but that is just an on-the-surface kind of estimate. When you start factoring in all the different ways that AI can design across different platforms and with various tools, you find a vastly increased capacity, which necessitates increased knowledge for instructors and students alike. Yet, capacity is one thing; what about capabilities? When it comes to web user experience, AI algorithms scrutinize user conduct and likings to produce tailored interfaces that improve interaction. Fast iteration on design prototypes using generative AI enables teams to test many different variations and to collect feedback on them quickly, resulting in better design decisions. In addition, generative AI can recommend compositional elements and color palettes that are in line with contemporary trends, helping to guarantee that user interfaces are not only modern but also visually satisfying. Creating these elements using available technology will reduce production time. Teaching students how to utilize a technology that can identify appropriate colors and designs for various ethnicities is invaluable. This results in an inclusiveness that is appealing to a larger and varied audience. Implementing AI into design prototyping reduces the process down into fewer and more manageable steps. Instead of students having to express a few original ideas through cumbersome sketches and models of diminishing returns, designers can now harness an AI-powered partner for realizing their ideas. This partnership makes it possible that fast iteration and refinement can be achieved, which enables designers to traverse a much broader range of possibilities and to do so in a fraction of the time it would normally take. This paper examines the possibilities of generative AI for instructors and students and applies it to the kinds of tasks that designers perform. Generative AI is potentially the next step for automating many of the tasks that designers are responsible for, not just higher-order, more creative tasks like generating concepts but also lower-order, less creative tasks like creating wireframes and mockups. When we think about what automating these processes could mean for speed of production, we also have to think about what it means for something else: the consistency of the digital products that designers are responsible for. Imagine a future in which generative AI is used not just as a brainstorming partner but also as a tool for realizing projects. This is a technology that seems poised to upend the design industry, and we need to have ongoing research and dialogue to figure out the best way to use it.

Keywords: Generative AI, technology, education.