So, you had a tiring weekend. You’ve made your coffee, and you just got in bed. Now, you open Netflix to chill and watch your favorite series. Yet you discover a new one. It’s perfectly according to what you like… But how?
Netflix is a perfect example of using AI in UX design to enhance the customer journey. In fact, it saved over $1 billion in 2022. All it did was utilize AI. It helped Netflix personalize your homepage. That’s right. No blockbuster and no major redesign.
It only used smart algorithms by quietly studying your viewing habits. It rearranged the thumbnails to push you toward your next binge. You get to watch awesome series and movies. Netflix makes a profit off that. Now, why couldn’t this also be your business?
Behind the scenes, UX designers and data scientists have worked hand in hand to train AI models. This is what helps them predict what you want to watch. The result? A great user experience that feels personal and effortless.
But what does that mean for designers? Are we handing over the creative wheel to machines? Maybe we are just building smarter copilots. Let’s break down how the role of AI in UX design. We’ll go over the innovative tools and challenges still ahead. Let’s begin:
What exactly is AI?
You’ve been hearing about it a lot since 2022. Since ChatGPT’s release, AI has no longer been a secret. Around 77% of devices around the globe incorporate AI. So, many of us are already using it. But what exactly is this thing, and how is it doing wonders?
Well, at its core, Artificial Intelligence (AI) is just a machine. What’s different is that it is a machine that can learn to think and make decisions like humans. But of course, it’s a machine, so it only thinks closely enough to be useful. Recent AI models have been able to resemble human thinking closely.
There are probably a lot of questions in your head now. Let’s break that down. AI isn’t just about robots taking over the world (thankfully). It’s a set of technologies allowing computers to analyze data. This helps recognize patterns and make predictions. It even helps “learn” from experience.
Think of AI as teaching a machine how to solve problems. Unlike traditional machines, you won’t have to give it step-by-step instructions every time. This shows the wonders of machine learning. Now, we’ve already seen AI slowly make its way into many aspects of our lives. How exactly is it impacting UX design? This is the big question in our blog.
How is AI affecting User experience design?
You’ll find different types of AI models out there. The most popular are the basic automation ones. This includes regular chatbots that respond to FAQs. You’ll even find more advanced forms like machine learning. These systems improve their performance over time. They use deep learning, mimicking how the human brain processes information.
In the world of UX design, AI can be used to:
- Suggest content or features based on user behavior.
- Customize interfaces in real-time.
- Identify pain points in the user journey.
- Assist designers with layouts, wireframes, or even content ideas.
In short, AI helps make digital experiences smarter, faster, and more intuitive. It does so without replacing the human touch that great UX design is built on. No matter how advanced AI gets, most of us would agree on the significance of human touch.
What are the benefits of AI in UX design?
Of course, you have a general idea of AI. Just give it a prompt, and it will create an answer based on that. Doesn’t that already simplify lots of things? So, it’s full of benefits. It’s more than just a trend. It isn’t going away either.
Generative AI tools have already enhanced productivity by 66%. When productivity comes in, the UX process becomes better and easier. Let’s see what other benefits using Ai can give you in UX design:
Personalization
Personalization always feels, well… Personal. This helps you connect with a digital product better. But personalizing according to user wants and needs isn’t that easy. However, AI allows designers to create highly personalized experiences. It does so by analyzing user behavior. Hence, it is able to understand their preferences and past interactions.
- AI can recommend content according to what users want. It can adjust UI elements or highlight features based on user habits.
- Platforms like Netflix and Spotify use this to serve content that users actually want. They don’t have to search for it.
Personalization increases engagement and builds loyalty. They’ll just keep coming back…. Think of yourself. Wouldn’t you prefer a digital product that understands your needs? It makes it easy for you to find interesting topics without looking for them. More than 92% of businesses have used AI to deliver personalization.
Time management
AI doesn’t just help users find a better experience. It helps designers deliver it, too. One of its biggest advantages is saving time. This helps with productivity, too. Working doesn’t feel like a burden. AI automates repetitive tasks. This gives designers more space to focus on creativity and problem-solving.
- AI design tools can easily handle tasks like wireframing and give layout suggestions. Sometimes, designers just need a little push.
- Tools like Figma AI and Uizard assist with rapid prototyping. This helps generate early-stage design ideas.
Designers don’t have to spend hours on minor changes or content tweaks. They can just shift their attention to more impactful work. Think of creating user journeys or testing innovative ideas easily. It can help you complete most tasks 40% quicker and more easily. Isn’t that an impressive benefit?
Better accessibility
There is more awareness about accessibility than before. And it’s a good thing! More and more people deserve access to digital products. AI in UX design can help you create more accessible designs. It can automatically identify issues, generate assistive features, and adapt interfaces for users with different needs.
- AI can generate alt-text for images, improve screen reader compatibility, and detect color contrast issues.
- Some AI design tools can also adjust the content presentation. This is helpful for users with cognitive or motor challenges.
With AI, designers can ensure no user is left out. It’s a connecting thing. This makes products more ethical and widely usable. As a business, adding accessibility to your digital products can be an excellent idea. Around 87% of individuals with disabilities have already stated a strong desire for this.
Predictive analytics
Wouldn’t it be nice to know what users will do before they even do it? This would literally make designing so much easier. This is where predictive analytics comes in. It’s an amazing way to predict things. AI can study user behavior and guess future actions. This can help UX designers make smarter decisions.
- It naturally identifies the features that users are most likely to engage with.
- It spots drop-off points or pain points. It’s all before they become major UX issues.
This means you can optimize your product. It won’t just be based on what has happened. But it’ll be based on what’s likely to happen next! 53% of marketing leaders have turned to using AI’s predictive analysis. It helps them understand the customer journey. In AI in UX design, we can use these features to deliver a more attractive UX design.
Automated user testing
Traditional user testing takes time. You have to set up sessions, collect feedback, and even analyze it all. AI flips that on its head by enabling real-time, automated user testing. This might just be one of the best benefits of AI in user experience design. Many designers find user testing complicated and time-consuming. Automated user testing helps with that.
- It can simulate user interactions and highlight friction points without needing a live test group.
- It helps spot bugs, navigation issues, or confusing flows much earlier in the design process.
This kind of proactive insight helps you fix problems before launch. So, you’re able to deliver a smoother experience to users from day one. In AI design tools, the usability ones can reduce testing time by up to 50%. Which UX designer and business wouldn’t willingly want that? AI’s automated user testing features are awesome.
A/B Testing
Gone are the days of manually analyzing A/B test results for weeks. AI can run multiple variations simultaneously. It can also provide data-driven insights much faster. Isn’t that great? A/B testing requires hard work. Think about working hard on two versions of your product only to choose one at the end.
- It detects which version performs better based on user interaction metrics.
- It can even suggest optimizations or combine the best elements of each version.
This means you can make confident design choices. The best part? Real user data will support them. It won’t even slow down your workflow. It’ll actually make it easier.A/B testing lets you gather feedback from two different versions of your product. This way, you’re able to see which is working better for your users. AI will help here.
What are some popular AI tools for UX design?
These days, AI is transforming the UX design process. There are many artificial intelligence design tools for this. They make it easier for designers to manage their workflows. You can generate content and test the usability of your products with them. They make it easier to create personalized user experiences. Here’s a breakdown of some popular AI tools used in UX design:
Figma
Figma is the most popular tool in the world of UI/UX design. It’s excellent for creating prototypes. It’s popular because of its generous free plan. 44% of its users are startup companies with less than 50 employees.
Features
- Design Automation: Figma has some AI-powered plugins like Magician, for example. It can automate design tasks such as resizing and layout adjustments.
- Smart Layouts: Figma uses AI to help align and organize elements. This allows it to adjust to different screen sizes automatically.
- Collaborative Design: Figma’s real-time collaboration allows designers, developers, and stakeholders to work together. AI assists in version control and design consistency.
- Smart Content Suggestions: With integrated AI, Figma can suggest better layout choices and enhance color schemes based on design trends and accessibility standards.
ImageAI
ImageAI uses artificial intelligence to bring advanced image recognition and analysis capabilities into design projects. This way, it can enhance image quality and generate metadata for UI/UX elements.
Features
- Image Recognition: It lets AI automatically identify and label objects within an image. Thus making it useful for generating tags, alt text, or metadata.
- Customizable Image Models: ImageAI Allows users to train the model with their own image datasets. This improves the accuracy of predictions for specific projects.
- Object Detection: ImageAI helps identify elements in images. This includes buttons and icons. This allows us to create better UI design and accessibility enhancements.
- Image Enhancement: It uses AI to enhance image quality. It does so by correcting lighting and other imperfections.
Uizard
Uizard enables quick prototyping. It is an excellent tool that simplifies development. This is because it can easily convert designs into usable code. Uizard also suggests layout improvements using AI. It is ideal for teams looking to collaborate in real time and iterate quickly.
Features
- AI-Powered Prototyping: Uizard can convert hand-drawn wireframes. How? It turns them into fully functional digital designs with the help of AI.
- Code Export: It can change prototypes into usable code for front-end development. This eases the transition from design to development.
- Customizable Templates: Uizard uses AI to offer design templates that are automatically tailored to your project’s context (e.g., mobile, web, or app).
- Collaborative Tools: Allows teams to collaborate on real-time design prototypes, with AI suggesting UI/UX improvements.
Adobe Firefly
There’s no surprise that Adobe built it. The same creators of Photoshop and Illustrator. Firefly is an AI-powered tool that helps with design. It allows users to create custom images from text descriptions. It also automatically applies design styles to existing work.
Features
- Generative Design: Adobe Firefly uses AI to help generate original design assets. This includes images, illustrations, and typography. They are based on your input prompts.
- Text-to-Image: AI transforms text descriptions into custom images. It provides unique assets without having to manually create or source them.
- AI-Powered Editing: Firefly makes image editing smarter with automated features. You’ll find content-aware fill, background removal, and object resizing.
- Style Transfer: Uses AI to apply a unique style or aesthetic to your designs. This way they look so visually cohesive.
Framer
Framer is a dynamic design and prototyping tool that integrates AI. It reorganizes UX/UI creation. Framer provides smart layout adjustments and auto-resizing features. This ensures that designs look great across different devices.
Features
- Code Integration: Framer allows designers to integrate real-time code into their prototypes. This makes testing and iterating on components easy.
- Smart Components: AI in framer enables the creation of reusable design components. This helps maintain consistency across the project.
- Interaction Design: AI suggests interactions and animations based on user flow. This makes the UX design process smoother and more intuitive.
- Collaboration: Framer enables team members to collaborate live on the design. This makes working fun and more productive.
What are the challenges of AI in UX design?
So, it’s evident that AI can help simplify the UX design process a lot. Yet, many things about artificial intelligence are associated with risk. It’s still at a stage where you can’t trust it with your eyes closed. Naturally, because of this, you’ll find some issues when using AI. Let’s view these challenges:
Lack of Human Intuition
AI lacks emotional intelligence and human context. It can analyze user behavior but doesn’t always understand it. This is because human intuition and human connection are natural. They are different. They’re also unique from person to person. AI is a machine. It doesn’t understand why users make certain choices or how they feel about them.
Due to this, creating designs isn’t that simple. Designs are meant to evoke emotions. How can you depend on AI to do that? It is a non-emotional machine at the end.
Ethical Concerns
AI systems learn from data, and data can be biased. This is a very popular possibility. Plus, it’s so different where this data came from and who taught this to the model you’re working with. This way, you’ll find some ethical concerns. They’re not good with design. AL in UX design can often make mistakes, which could lead to discrimination.
It might be especially in areas like accessibility or personalization. An example could be recommending male-centric content more often than diverse content. This happens when it’s trained on biased data).
Transparency & Trust
You would be working with a tool and AI would just recommend you to change the content or layout. You may not see why… It already looks perfect the way it is. This might raise concerns. You’d be like, “Well, am I not seeing something?” Users often don’t know why artificial intelligence does this.
The problem here is with why. This damages transparency and trust between users. This way, sometimes, AI makes things harder instead of easier.
Over-Personalization
We’ve all had moments where personalization felt scary. One moment, you’re out with a friend for coffee. You guys are talking about random things. You lift your phone and scroll Instagram to find ads for the same things. This is AI in UX design. It gets too much sometimes. Users feel creepy about it.
When using AI in UX design, it might get hard not to overstep boundaries. Users want smart interfaces, not stalkers.
Lack of Design Standards
AI in UX design is still relatively new. So, there aren’t any well-established design guidelines. Because of this, designers openly experiment with visuals. The concerning thing is this: They don’t know what’s truly working. In traditional designs, we just have some standards, and it’s necessary to follow them.
This is often a challenge that we face when working with AI in UX design. This is why we need to be more careful when working with it. User experience isn’t something to take lightly.
How can you use AI in UX design?
You probably already use tools like Meta AI and ChatGPT on a daily basis. So, you have a general idea about how they work. But it isn’t as basic as just giving a prompt. When creating UX designs, you need to know what you’re doing. You need to go deep.
Ai isn’t there to take the wheel. It’s there to be a co-pilot that’ll help you improve your design creation process. Let’s see how you’re supposed to use it then:
Create detailed prompts
The better your input, the better the AI’s output. Instead of saying “Design a landing page,” try something like:
“Design a modern, minimalist landing page for a mobile budgeting app targeting Gen Z users. It should include a hero section, CTA, and testimonials.”
Giving AI specific details such as tone, audience, layout structure, and brand identity helps it deliver results that feel tailored, not generic.
Ask for multiple options
AI thrives on variety. Don’t settle for the first result—ask for multiple variations to explore a range of possibilities.
For example, prompt:
“Give me three versions of an onboarding screen for a meditation app. Let’s go with one playful, one minimal, and one text-heavy.”
You’ll often discover unexpected directions or creative angles you hadn’t initially thought of.
Iterate on the result
Treat AI output as a starting point, not the final design. Use it to get inspired, then refine it by adding your human touch—whether that’s improving visual hierarchy, adjusting tone, or aligning better with brand voice.
Ask the AI follow-ups like:
“Make this more inclusive,” or “Simplify the language for a 6th-grade reading level.”
This keeps the creative loop going, and each prompt helps you shape the perfect result.
Some tips:
Here are some additional tips to use AI in UX design:
Build a Prompt Library
Start saving effective prompts that work well for specific use cases like landing pages, UI text, feature suggestions, or even user testing questions. This can work wonders.
Organize them by categories—like copywriting, research, or layout ideas—so you can reuse and tweak them across projects.
Get rich with context
The more context you feed the AI, the better it performs. Mention your target audience, pain points, tone, goals, and brand values.
Example: Instead of asking, “Write a CTA,” say,
“Write a CTA for a sustainable clothing brand. It should encourage sassy millennials to join a rewards program.”
How can Linkitsoft help with AI in UX design?
Artificial intelligence will be a part of most technical aspects. Design is one of them. So, there is no point in ignoring it. There’s also no need to fear that AI will take over. Sure, it’s amazing, especially because it makes tasks so much easier. However, there’s always a need for human intervention.
This is because, as humans, we crave that unique creativity that is limited to us. There isn’t any machine out there capable of replacing human connection. You shouldn’t expect it to replace humans any time soon. Design is one of the most beautiful aspects of technology. AI’s role is to only enhance the process of this designing.
At Linkitsoft, our creative experts utilize AI to improve the user experience. 88% of users won’t return to your website if the us is bad. But how do you know the parts where you can fix it? Maybe you can make it better, but you might be struggling with predictive analysis.
This is where AI in UX design can do wonders. It can help you create a more engaging UX design. It will surely raise user conversions. And Linkitsoft knows how to use these features. We know how we can assist you in delivering a better user experience with the help of AI.
Wrapping it up
AI in UX design is an impressive tool. It can help with user research and simplify the UX process. So, why not use it to the full extent for your digital product? But what about having a skilled team by your side to benefit from it? Everyone can “use” AI. After all, you just have to cook up a few words. But not everyone knows how to benefit from it.
Having a skilled team by your side to help with the UX process can do wonders. Imagine buying an expensive AI tool that helps you with user research and UX design. Sounds great, right? But what about the aftermath? You’ve bought the tool but don’t have a good team to use it. You’ll genuinely waste your budget.
Instead, you can hire a team of UX designers. They have the expertise and the tools. Use your budget where it delivers good outcomes. This is where Linkitsoft comes in. Our knowledge openly spans across the different phases of design. From user research to predictive analysis, our experts are equipped with whatever you need.
So, whether you need AI in UX design or just some organic design, Linkitsoft is here. There’s no reason to wait then. Let’s start collaborating on your project. You can connect with us today. Send us an email or give us a call. We’ll have a representative guide you. we’ll make your UX design beautiful and engaging.
