Product Design in the AI Era: What Changes When Everyone Can Build

What I find most interesting about AI in product design is not that it can generate screens faster. It is that the gap between having an idea and actually building something is getting much smaller. Designers can explore interfaces, interactions, copy, and even working prototypes in far less time than before. To me, that changes where the real value of a Product Designer sits.

I still think strong Figma skills and visual craft matter. But I do not think they are enough to differentiate a designer anymore. If AI can help almost anyone produce a reasonably polished interface, being good at pushing pixels becomes less rare. The harder questions come before the pixels. What problem are we solving? Does this feature need to exist? What should be prioritized? What happens if we remove half of it? A polished solution is useful, but only after we know we are solving the right problem.

The more options AI gives us, the more important I think judgment becomes. Generating ten directions is easy. Knowing which one fits the product is harder. That requires understanding users, business goals, technical constraints, and the tradeoffs behind every decision. Taste matters too. Not only visual taste, but product taste: knowing when an experience feels too complicated, when an interaction should be simpler, or when a feature technically works but still does not feel right. AI can help produce possibilities. I still see the designer's job as deciding which possibilities are worth pursuing.

Vibe coding is especially interesting to me because it lets designers explore ideas as working experiences rather than only static screens. Being able to quickly build a flow, click through it, break it, and change the behavior gives designers another way to think. I do not see this as replacing engineers. I see it as expanding the designer's medium. Figma helps us think visually. Code lets us think about behavior, states, and systems more directly. That can make collaboration with engineering stronger because the conversation starts closer to the actual product.

AI can generate a lot, but it cannot remove responsibility from the designer. We still need to own the context, the decisions, the tradeoffs, the edge cases, and the quality of the final experience. Someone still needs to ask what happens when there is no data, when something fails, when the user does something unexpected, or when the generated solution does not fit the rest of the product. For me, that is where Product Design becomes more interesting in the AI era. Building is becoming easier. Deciding what deserves to be built is not. When execution gets cheaper, judgment becomes more valuable.