Over the past few years, artificial intelligence has advanced rapidly in content and interface generation: writing copy, producing images, and generating page prototypes can all be done in minutes. The problem that follows is equally straightforward—will the profession of web designer be replaced, and will future web design require only a computer and an algorithm?
What AI Can Currently Handle
At this stage, AI's role in web design is mainly reflected at the efficiency level. Layout and color schemes that designers once had to try repeatedly can now yield multiple candidates in a very short time; the initial construction of page structures and repetitive slicing and annotation can also be left to tools. Some tools can even suggest layouts based on traffic data.
These tasks share one thing in common: clear goals, relatively well-defined evaluation criteria, and the ability to iterate quickly. For any stage that fits this description, AI's performance is usually already close to or even beyond the level of someone just entering the field.
The Parts of Design Work That Are Hard to Parameterize
Web design is rarely as simple as "arranging elements so they look good." In real projects, requirements are often vague from the very start: companies cannot articulate what they want, and what users say often differs from what they do. Translating this vague information into an executable structure requires understanding the business, understanding industry conventions, and repeatedly aligning with people.
Design also has to carry an expressive function—a brand's temperament, a company's sense of propriety, which type of customer it speaks to. These judgments depend on experience and context and are very hard to fully parameterize. AI can generate drafts, but the decision of "which version to use and why" still rests with a specific person.
A More Realistic Change: The Division of Labor Is Shifting
Rather than discussing replacement, it is better to observe how the division of labor is changing. The foreseeable direction is that AI handles the "fast and broad" part—a large number of options, first drafts, and variations; designers handle the "precise and deep" part—judgment, trade-offs, narrative, and accountability for results. Designers who can use the tools can cover a wider scope of work per unit of time and also have the opportunity to independently complete more stages, from design to launch and operations.
Practical Advice for Practitioners
If you work in this field, there are roughly three directions worth investing in: first, becoming proficient with AI tools and treating them as a basic productivity tool rather than a threat; second, strengthening the abilities that are hard to quantify, such as requirements analysis, information architecture, and brand expression; third, understanding business outcomes and knowing what problem a page ultimately needs to solve.
Tools will keep changing, but judgment will not become obsolete. For designers, this round of change is more like an opportunity to reallocate time—investing the execution time saved into positions closer to decision-making.