AI can generate designs quickly, but it struggles to nail the final details. A CEO mentioned that while AI can handle about 90% of a design, the last 10% still requires traditional design methods to ensure functionality. This shift means designers may find themselves reviewing work from non-designers who use AI tools like Stitch by Google to create visuals. The traditional strength of designers—visualization—is now more accessible, leading to increased competition. Despite this shift, the need for iteration and deeper understanding in design remains unchanged. AI may produce initial drafts, but those drafts often miss nuances that only experienced designers can catch. The critical skill moving forward is answering the “why” behind design choices. Designers need to articulate the reasons for their decisions, linking user needs, business objectives, and technical constraints. This focus on justification can help designers maintain their relevance in a landscape where visual skills are commoditized. One practical approach for designers is to conduct a “Why” audit in their work. By asking questions about previous and current design choices, designers can clarify their strategic thinking and enhance their presentations. This method not only makes their reasoning visible but also prepares them for stakeholder inquiries. Ultimately, while AI can assist in creating drafts, it lacks the ability to understand the context and rationale behind design choices, which is where designers can still excel.