{"id":8280,"date":"2026-03-20T08:48:09","date_gmt":"2026-03-20T08:48:09","guid":{"rendered":"https:\/\/www.wendyzhou.se\/blog\/?p=8280"},"modified":"2026-05-16T13:55:14","modified_gmt":"2026-05-16T13:55:14","slug":"the-future-of-ui-design-with-ai-how-to-keep-up-with-ai-as-a-ui-designer","status":"publish","type":"post","link":"https:\/\/www.wendyzhou.se\/blog\/the-future-of-ui-design-with-ai-how-to-keep-up-with-ai-as-a-ui-designer\/","title":{"rendered":"The future of UI Design with AI – How can designers keep up with AI?"},"content":{"rendered":"\n

With the rise of Generative AI<\/a> tools such as Figma Make, Lovable, and other prompt-to-design tools, the future of UI designers might change. In this article, we’re going to look at what the future for UI designers will be in the age of GenAI, and if the way we design will change. <\/strong><\/p>\n\n\n\n

Related: Is AI Replacing Junior Jobs? What Can We Do About It?<\/a><\/p>\n\n\n\n

How does the future of UI Design look with AI?<\/h2>\n\n\n\n

When I first became interested in design, UI design in particular attracted me due to the combination of artistic skills, with technology, functionality, and rationality. It felt like creating art, but for a useful purpose. Now, with generative AI, which is quite effective at generating UI patterns, I’m wondering what the future for UI designers will be.<\/p>\n\n\n\n

I think we will see a change in how UI design is done and which tools designers use. For example, generative AI tools such as Figma Make and Claude Code might become standard tools to work with in the design process, both for generating mockups, as well as for turning designs into functional code-base prototypes.<\/p>\n\n\n\n

What can Generative AI tools do?<\/h2>\n\n\n\n

Generative AI tools can take a text prompt or a visual input (such as a sketch or static mockup), and generate new UI designs. The AI models are trained on lots of training data, including real examples of UI design mockups created by human designers.<\/p>\n\n\n\n

The strength of AI models is that they are great at pattern recognition. Thus, AI models can learn UI design patterns such as standard buttons, design systems, padding and margins systems, and color schemes. <\/p>\n\n\n\n

Since AI models are good at generalizing from many examples, the design outputs look highly generic and standardized. But, they do follow conventionalities in terms of UI patterns, color schemes, paddings and margins, font choices, and so on.<\/p>\n\n\n\n

When Junior UI designers use GenAI<\/h2>\n\n\n\n

In the past year, I’ve been teaching in interaction design, including courses on user interface design, at two universities. I can clearly see that when students use GenAI to generate UI design prototypes. It looks very polished and follows generalized patterns. In a way, this might feel good for the students, but it is also clearly better than what a design beginner would be able to do on their own.<\/p>\n\n\n\n

When beginners design their first interface, you will see mistakes in misaligned UI elements, odd padding and margins, and misaligned items that are inconsistent with the basic structure of HTML and CSS. These are good mistakes. They invite feedback, discussion, and improvements, which leads students to reflect and learn why<\/em> we follow certain best practices in UI design. <\/p>\n\n\n\n

You can also see that non-AI-generated outcomes are often much more creative than AI-generated outputs. Many junior designers think outside the norms; they\u2019ve not yet been boxed in and trained on the conventionalities of design, and their designs are interesting in that they show a new way of interacting with technology. These are good things that disappear with AI use.<\/p>\n\n\n\n

When junior or design students use generative AI to produce design mockups, it restricts their creativity and limits their personal taste from shining through. I think that AI-generated design lacks character, personality, and connection to the designers\u2019 cultural and personal background. All of these things, I think, are very important to maintain in our increasingly soulless digital world.<\/p>\n\n\n\n

If everyone, from design students to professional designers, consistently uses generative AI instead of allowing their own creativity to take shape, I am worried that we will lose what\u2019s fun and inspiring about design work. <\/p>\n\n\n\n

Everything will end up looking the same: boring, soulless, culture-less.<\/p>\n\n\n\n

So, I hope our future UI designers won\u2019t be too lazy and still put in the effort to add their own touch to their designs, even<\/em> if they need to use generative AI to produce the basics faster. Hopefully, we\u2019ll see more playful colors, personal illustrations, creative micro-animations in interactions, or more personal content.<\/p>\n\n\n\n

New AI-based User Interfaces<\/h2>\n\n\n\n

There\u2019s no denying that AI is taking an increasingly larger role in our digital atmosphere. LLMs and Generative AI models are being integrated into our new applications, both by startups and larger companies. What we might see in AI-based UI design is a need to design for dynamic content. For example, personalized content for the user based on their personal data and history.<\/p>\n\n\n\n

New applications can leverage LLMs (Large Language Models) and Generative AI to:<\/p>\n\n\n\n