It is making screen production faster. That part is true.

But I think the real value of a designer is not only creating screens. The real value is making good decisions before the screen exists.

This becomes even more important with AI.

Fast screens are not enough

AI tools can generate layouts, flows, components, and visual ideas very quickly.

This is useful. But speed can also create a new problem.

If the project has no clear design system, no component rules, no product logic, and no human direction, the AI will produce many things that look okay but do not work together.

Then the designer spends time fixing everything.

At that point, AI is not saving time. It is creating cleanup work.

Preparation matters more now

Before using AI in a real product design project, we need preparation.

For me, this means:

• clear product goal
• defined user flows
• design system basics
• components and states
• spacing and typography rules
• content tone
• what AI can decide and what humans must decide

The bigger the project is, the more important this preparation becomes.

Small mistakes at the start can become big time loss later.

AI needs a design system

A design system is not only for designers anymore.

It also becomes a language for AI tools.

If the system is clear, AI can help with faster variations, better consistency, and less random output.

If the system is weak, the AI may generate many different styles, many broken patterns, and many decisions that do not fit the product.

This is why I think AI design is not only about prompts. I wrote about this before in AI UX Is Not About Prompts Anymore.

Human touch is still needed

In a real project, there is always context.

Business goals, user needs, edge cases, brand rules, technical limits, accessibility, and product history all matter.

AI does not fully understand these things by default.

A designer still needs to review, guide, reject, simplify, and connect the pieces.

This is where human touch becomes important.

Not as decoration. As judgment.

Bad preparation wastes tokens

There is also a practical problem: token waste.

If the brief is weak, the design system is missing, and the product context is unclear, you will keep asking the AI to fix the same problems again and again.

That costs time. It also costs tokens.

Good preparation is not slow. It is the thing that makes AI useful.

My takeaway

AI makes UI production faster.

But product design still needs structure.

The future designer will not only ask AI to create screens. The future designer will prepare the system, define the rules, guide the output, and make the final decisions.

That is why AI does not remove design thinking.

It makes design thinking more visible.

You can read more posts in my AI, UI/UX, and Product Design categories.

Sources

• Figma AI
• Figma Make
• Google PAIR Guidebook
• Microsoft HAX Toolkit

The post AI Design Needs More Than Faster Screens first appeared on Burak Poryaz - Web ve Mobil Arayüz Tasarımı - UX Ui Tasarım.

You write something. The AI answers. Maybe you try again.

This was useful at the start. But I do not think this is enough anymore.

AI UX is not only about prompts now. It is about control, feedback, trust, and clear product flows.

The prompt box is only the beginning

A prompt box is flexible. That is good.

But it also hides many things from the user.

What can this AI do? What changed? Can I undo it? Can I choose another version? Can I see why this result happened?

If the product does not answer these questions, the user may feel lost.

Good AI UX needs visible control

When I use an AI product, I do not want only a smart answer. I want to feel that I am still in control.

For me, this means simple things:

• clear preview before applying a change
• undo and history
• different versions to compare
• confidence or quality signals
• human approval before important actions

This is where product design becomes very important.

AI can create fast. But the interface should help the user decide well.

Figma and Adobe show the direction

Recent AI design tools are moving in this direction.

Figma talks about AI that works inside the design workflow, not only as a separate chat box. Figma Make also focuses on generating and editing UI with more direct control.

Adobe Firefly is also moving toward an AI studio with more context, reusable elements, and creative agent features.

This tells me one thing: the next step is not just better prompts. The next step is better product systems around AI.

Designers still matter

AI can make more people create interfaces. I think this is good.

But more output also means more noise.

Designers will still need taste, structure, and judgment. We need to decide what should be automated, what should stay manual, and where the user needs more clarity.

This is also why I want to write more about AI and product design on this blog.

My takeaway

If you are designing an AI product, do not stop at the prompt box.

Design the states around it. Design the controls. Design mistakes. Design trust. Design the moment where the user says: yes, this is the result I want.

That is AI UX now.

And if you are a designer, keep showing your work too. Tools can help, but sharing and feedback still build your taste. I wrote about this idea while launching ShotSender, my free Figma plugin for publishing Dribbble shots.

Sources

• Figma AI
• Figma Make
• Figma: AI tools for UX designers in 2026
• Adobe: Creative Agent and Firefly expansion
• Business Insider: Figma CEO on AI and creative careers

The post AI UX Is Not About Prompts Anymore first appeared on Burak Poryaz - Web ve Mobil Arayüz Tasarımı - UX Ui Tasarım.