AI has become remarkably good at building websites.
Describe a page to ChatGPT or Claude and it can write functional code in seconds. It can create responsive layouts, animations, forms, navigation, cards, charts, and interactions that would have taken much longer to implement a few years ago.
That can create a misleading conclusion:
Those aren't the same problem.
Building answers “how?” Designing answers “what?” and “why?”
How?
How should this grid behave on mobile?
How do we implement this animation?
How should this component be structured?
How do we make the navigation sticky?
What + why?
What should the visitor understand first?
What should this page accomplish?
Which information matters?
What doesn't belong here?
What should feel surprising?
How should the company be perceived?
Which proof will make the claim believable?
What visual language actually belongs to this brand?
Building questions are increasingly solvable generation problems.
Design questions don't have universally correct answers. They require judgment.
Website design starts before pixels
A strong website typically involves several layers of decision-making:
AI coding tools are becoming exceptional at the last layer.
That doesn't automatically solve the seven before it.
The danger of starting with generation
When creation becomes instantaneous, it's tempting to skip planning.
Why spend time defining the page when you can see a version of it in 30 seconds?
But fast generation can create false confidence.
This is one reason AI-built websites can feel impressive initially and disappointing after prolonged use. The fidelity of the output disguises weaknesses in the thinking behind it.
Great designers aren't valuable because they know CSS
The value of an experienced designer isn't primarily their ability to draw rectangles. It's the decisions they make.
They recognize when a page is trying to communicate too much.
They know when a design is visually impressive but wrong for the audience.
They notice that five individually attractive sections create a monotonous page.
They know that the strongest proof point is buried.
They understand when a client's requested solution isn't actually solving the client's problem.
That's judgment.
AI can increasingly assist with that judgment. But it needs to be intentionally incorporated into the process.
The next step for AI website creation
We think website AI needs to evolve from:
toward:
That means the system needs more than code-generation ability.
It needs knowledge about the company. It needs design intelligence. It needs to understand the role of the page within the site. It needs to evaluate its own output against the strategy and visual system. And it needs to remember previous decisions.
The future of AI website creation isn't simply a model that writes better code.
It's a system that makes better decisions before, during, and after the code is written.