I recently watched a junior designer use a generative tool to spin up a high-fidelity dashboard in under thirty seconds. It wasn’t perfect, but it was 80% there. Honestly? It was a gut-punch. For those of us who spent the last decade and a half meticulously obsessing over border radii, grid systems, and state changes, it’s a weird time to be alive.
If you’ve been in the UX game for ten or fifteen years, you’ve likely felt that creeping "artifact anxiety." If the machine can do the layout, the color theory, and the basic prototyping, what exactly am I being paid for?
But here’s the reality: we are graduating from being composers to being conductors.
The AI is incredible at producing the "average" of everything it has ever seen. It can give you a clean, usable interface that looks like every other SaaS product on the market. But AI has no "why." It doesn't understand the politics of a boardroom, the specific trauma of a user navigating a healthcare portal, or the subtle friction required to keep a user from making a massive mistake.
For a long time, senior UX roles were about the how: How do we build this? How do we make it look modern?
Now, the value has shifted entirely to the what and the should.
Prompting is just another word for Requirements Gathering. If you can’t define the problem with surgical precision, the AI will give you a beautiful solution to the wrong problem.
The Editor-in-Chief Model. Our job is now to look at the "infinite variations" AI produces and apply the taste, ethics, and business logic that a LLM simply doesn't possess.
The "AI-era" designer isn't a prompt engineer; they are a systems strategist.
When a system can hallucinate, "usability" takes on a whole new meaning. It's no longer just about where the button goes; it's about designing for uncertainty. How do we design an interface that gracefully admits it might be wrong? How do we build trust when the backend is a black box?
That requires the kind of intuition you only get from years of watching real users break your "perfect" designs. You can't prompt your way into that kind of wisdom.
So, let the AI handle the pixels. I’m happy to give them up. I’d rather spend my time solving the messy, human problems that a GPU will never quite understand.