ABSTRACT: 

Productivity, quality, and skillset are critical in UX/UI design. Recently, these elements have been further enhanced by the impact of AI in user experience design. Right from conception to development to delivery, AI in design can deliver an experience that brings the customers closer to the brand and creates future-ready experiences that can empower modern businesses.  Artificial intelligence (AI) integrated UX/UI has transformed the approach towards the design process, the expertise required to create a truly personalized and futuristic design, along with the emergence of AI-backed tools to automate design processes.

To further understand artificial intelligence's impact on the UX industry, GoodFirms has initiated a survey with top businesses that could quickly compile what AI can bring to the UX landscape.

GoodFirms' survey, “How Does AI User Experience Elevate Design? Generative UX/UI Trends and Tips for Business Growth,” attempts to reveal the use cases, benefits, and challenges of employing AI in the UX/UI design process. The survey also aims to shed light on the AI user experience design trends for 2025 and beyond.

User experience is more about the design, creativity, and the way users interact with a web page.  With the advancement of technology and widespread use of the internet, web pages are becoming more interactive and user-friendly.

The integration of AI with UI (User Interface) and UX (User Experience) design processes is a great advantage in improving customer satisfaction, efficiency of the design, and quality. The widespread use of technologies like AI and ML is poised to create a revolution in  the design industry. Keeping the designs more user-centric, AI has opened a whole new world of possibilities for the user experience.

While AI in user experience can elevate user experience in a number of ways, learning the efficient use of technology can pose challenges in a similar manner. Although the use of AI in design has come a long way, there are several trends that can further shape the future of the design industry. 

This survey by GoodFirms is an attempt to study the purpose, benefits, challenges, and tips of implementing  AI in UX/UI. 

GoodFirms commissioned a survey to study the state of GenAI in UX/UI design. The survey also aims to reveal the purposes and benefits of artificial intelligence to improve design and its role in the design industry. The survey asked around 650 businesses to understand their experience with using GenAI tools to improve their design.

Around 78.2% of the survey respondents already leverage GenAI to improve UX/UI design.

AI has proven useful in several applications in every industry, and the design industry is no exception. AI tools play a crucial role in elevating the design and, in turn, the user experience. From generative design in UX/UI to gathering feedback for analysis, AI can transform the entire design process. This survey aims to discuss some of the purposes that AI can fulfill in UX/UI design.

About 70.8% of the businesses mentioned generative design as one of the applications of AI in UX/UI design.

Generative design in UX/UI is the process that leverages AI to create multiple design solutions based on the prompts given. Generative UX design is of great help in speeding up the design process. 

With a number of design solutions generated through AI, designers can compare and find the most efficient and innovative designs that meet the business requirements. AI also simplifies the iterative process, accommodating changes based on real-time feedback.

Around 79.2% of the survey participants utilize artificial intelligence for content creation for a better UX.

Content creation is a very common purpose that AI can help with when it comes to enhancing UX. Content that is aligned with the website design and the goals is crucial for elevating the customer experience. AI in website design is seeing an increased demand these days.

AI has proved its capability to create unique and quality content, and it is readily being used across the globe to curate content. With artificial intelligence UX, SEO-optimized content that is engaging and clear can be achieved quickly. AI user experience can also be beneficial for optimizing UX writing to make it more interactive.

Over 50% of the surveyees said that they leverage AI in UX for personalization.

Personalization improves profitability.(1) It is an essential aspect of user experience. It can build trust and can convert a lead into a lifetime customer.

AI algorithms are trained to analyze user preferences and behaviors. By integrating AI and UX, website designers have a huge opportunity to personalize customer experiences.  

By leveraging the power of AI, designers can personalize web pages for customers by promoting personalized recommendations based on user search history, preferences, and other user data. Personalization with AI in UX is more about achieving customer satisfaction that improves the conversion rate.

Prototyping is one of the uses of AI in user experience design, according to  60.8% of the survey participants.

AI-driven design tools have a huge potential to automate the design process. Generative AI tools can help create and modify prototypes. Artificial intelligence UX tools are engineered to suggest layouts and design components based on past history 

The implementation of AI in UX/UI design ensures iterating and improving the designs efficiently. This helps in reducing the prototyping phase. 

Around 42.3% of the survey respondents leverage AI in user experience design for testing processes.

When AI is leveraged for UX testing processes, the benefits are numerous, starting with automating data collection, analyzing, testing, and delivering insights that designers can use to create more user-centric designs.

A/B testing is a widely used practice to measure the effectiveness of a particular design. While successful A/B testing requires time and skills, AI-powered tools can simplify the A/B testing process and assist designers in proceeding with the best design for better customer satisfaction.

A/B design tools that are backed by artificial intelligence can help designers understand the impact of a design change in real-time to improve the design. AI in user experience have a huge impact in optimizing the testing process by automating repetitive tasks.

Artificial intelligence in UX/UI design helps 44.6% of businesses with predictive analytics.

AI models are particularly designed to analyze patterns and user behavior. The integration of AI in designing can be essential for implementing Predictive Analytics. By analyzing user search history, sentiment analysis, and preferences, AI and machine learning algorithms are capable of predicting future trends. 

Predictive analytics is an impactful way of personalizing future recommendations and customizing the home page for a customer. Also, dynamic pricing is a potential benefit of practicing predictive analytics. With predictive analytics, AI UX for business growth can be quite beneficial.

Nearly 51.5% of the surveyed businesses utilize AI for real-time suggestions and feedback.

The collection of insights and feedback through AI-powered tools is critical for implementing suggestions and improving customer experience. AI and ML algorithms can automate the feedback collection process. 

AI-powered tools are also designed to interpret the feedback and expedite the process of implementing suggestions as per the customer requirements. 

Generative AI, with its numerous applications, brings a plethora of benefits to the design industry. From generating content to implementing feedback, AI has the potential to revolutionize the design process. Some of the benefits of GenAI in design are discussed here.

About 54.6% of the surveyees mentioned improved creativity as one of the many benefits of GenAI in design.

One of the most common benefits of generative AI for UX/UI is enhanced creativity. From generative UX design to UX content creation, generative AI in UX/UI design can elevate the creativity of the user interface. 

“Accelerating the design process, generative AI unleashes a designer from the time-consuming repetition of similar tasks, such as wireframing or layout suggestions, to focus on creative problem-solving. It enables hyper-personalization, increases efficiency, reduces the time-to-market, and enhances design quality through drawing insights from large datasets.” –Wow Blockchain Labz.

While tools like ChatGPT and Synthesis.io have shown their capabilities to create engaging and creative content, there are AI-driven tools that can create designs to make the UI more personalized. Generative AI tools that are engineered to create prototypes and designs that enhance the visual aspect of a user interface help in improving creativity.

“AI-powered design is still in its early stages, so while it may not yet handle all aspects of design, it serves as a valuable tool for boosting creativity.” –Cosmico Studios.

Above 46% of the survey participants said that AI in design helps enhance user experience.

AI in UX/UI uses algorithms like NLP, voice recognition, and machine learning that can understand commands and carry out tasks in real-time. Along with virtual assistants, the personalization capabilities of AI for user interface design play a crucial role in enhancing the user experience.

“According to us AI is helping us for quick output and multiple ideas. So it reduced the significant UX effort.” –Sourceved Technologies Pvt. Ltd.

With responsive interfaces and tailored recommendations, users can always have an improved experience. Recommendations made based on previous activities and sentiment analysis resonate with customer expectations. A better customer experience results in improved conversion rates, customer loyalty, and brand recognition. Interestingly, 64% of businesses believe that AI can improve customer relations.(2)

40% of the surveyees mentioned data-driven decision-making as a benefit of leveraging GenAI in design.

The functioning of AI is based on its capabilities to analyze loads of data to determine actionable insights. With AI-powered UX/UI designs, businesses can leverage insights from huge volumes of data to familiarize themselves with user expectations and requirements. 

Having actionable data allows businesses to make data-driven decisions that are aligned with the market demands, offering a competitive edge. Furthermore, data-driven decisions make the user interface more impactful resulting in enhanced customer relation.

The use of GenAI in the design process makes it cost-effective, said 57.7% of the surveyed businesses.

AI user experience tools have a range of purposes in enhancing design capabilities. From personalized recommendations to automating processes, AI in UX can make tasks easier for the design teams. 

Automating tasks like content creation and prototyping can help reduce the cost required for the design process. The ability of GenAI in simplifying the testing process further improves the cost effectiveness. Also, real-time feedback and predictive analysis reduce the costs involved in making changes to the interface.

Around 63.1% of the survey respondents mentioned that GenAI in design enhances productivity.

AI-backed tools facilitate automating design processes, which leads to more efficient functioning. 

“First, it improves process efficiency, including shorter development times and fewer iterations by automating routine tasks. Second, AI helps reduce labor costs and improve team productivity, freeing up resources for more creative tasks.” –Umbrella IT.

By automating redundant tasks, design teams can focus on more creative work that requires human intervention. This minimizes the required efforts and increases productivity. With the time reduced in the iteration of the design, businesses can also achieve faster time-to-market.

Over 31.5% of the businesses said that leveraging GenAI in design can help in creating a conversational UI.

70% of consumers prefer interacting with conversational assistants.(3) Interacting with chatbots and voice assistants helps customers resolve concerns better. These conversational assistants are powered by AI. 

Voice assistants like Amazon Alexa and Google Assistant have revolutionized how users interact with their devices. AI tools' ability to understand the context of user queries and provide solutions makes user interfaces more user-friendly, thus improving customer satisfaction.

Although GenAI in design offers ample benefits, it is equally tough to successfully integrate artificial intelligence into the design process. From privacy concerns to a lack of human creativity, the survey participants mentioned the challenges they came across while integrating AI and UX.

“While GenAI offers transformative potential in design, its challenges highlight the importance of careful implementation, ethical considerations, and maintaining the unique contributions of human creativity. By addressing these challenges proactively, the industry can unlock the full potential of AI in design.” –Designs Guru Studio.

“Using Generative AI in the design industry offers exciting possibilities, but it also comes with challenges. While AI can speed up the design process and spark creative ideas, it sometimes produces inconsistent results that may not align with specific brand guidelines or creative visions. The human touch, emotional depth, and cultural sensitivity that designers bring to their work can be hard to replicate with AI. Additionally, issues like intellectual property rights, bias in training data, and ethical concerns around design outputs raise important questions. The key to successfully integrating AI is finding a balance—using AI for inspiration and efficiency, while ensuring it complements human creativity, not replaces it.” –TechStaunch.

Over 39% of businesses see privacy concerns as a major challenge when using GenAI in design.

Leveraging AI-powered UX design tools involves using user data to understand their behavior and preferences. Collecting user data for analytics presents the challenge of maintaining the privacy and integrity of the data. 

Privacy concerns are a major challenge for implementing AI in the UX/UI design process. Businesses must ensure that privacy policies are in place to ensure the security and privacy of data. Ethical considerations must also be taken into account to avoid regulatory breaches.

About 43.8% of the survey participants said data quality is a challenge when integrating GenAI in design.

Generative AI tools typically function according to the datasets on which they are trained. It is, therefore, necessary to ensure that the data quality of the training models is not compromised. 

“As AI relies heavily on data, businesses must also prioritize clean and accurate data collection to ensure the effectiveness of AI tools.” –Fineart Design Agency.

The biases present in the training data can lead to uneven outputs, which can majorly impact the content created through AI tools. Distorted facts and hallucinations can lead to unreliable data, which can deteriorate user experience.

Lack of human creativity is one of the major challenges of using GenAI in design, said 55.4% of the businesses.

Using AI for user interface design can simplify the design process and even make it faster. However, the fact that the designs will not be created by humans can lead to lack of creativity. 

AI tools create design elements based on existing trends and data, which can result in a lack of innovation. Due to the absence of human-like judgment and creativity, the designs created by GenAI can be monotonous and homogenized.

Nearly 23.1% of the surveyees said that they face technical complexities when integrating GenAI and design.

While AI has simplified design generation tasks, it lacks the human qualities of creativity, emotional intelligence, and context understanding. This impacts the tools' decision-making capabilities. To avoid any cultural biases and homogenizing design elements, it is necessary that the AI tools are well-trained with enormous amounts of data. However, collecting such huge amounts of data that are subject to change has severe technical complications. 

Also, gaining technical proficiency to use AI tools to their maximum potential is also a major concern for designers. 

Around 51.5% of the businesses mentioned lack of originality as a challenge when using GenAI in design.

Over-reliance on AI tools for creating designs can lead to their lack of originality. The fact that the designs will be machine-generated risks lacking human originality and generic outputs. 

Designs generated with the help of artificial intelligence may be indistinctive and lack freshness. This might deteriorate the quality and lead to lesser user engagement. 

Customization limitations are a challenge for 34.6% of the survey respondents when using GenAI in design.

Although AI can personalize UX with data and sentiment analysis, it certainly has limitations related to customizations. AI lacks the ability to understand the user query context completely, which leads to struggle in customizing the interface.

Additionally, the predefined design layouts might be stringent enough to accommodate any customizations. The inadequacy or bias in data can further lead to limited customization abilities of AI tools for UX.

To ensure GenAI design tools are used to their fullest potential, it is necessary to follow the best practices that can help efficiently leverage these tools. Through this survey, businesses discussed the generative AI UX best practices to unlock business opportunities.

About 50.8% of the survey participants mentioned selecting the right tools must be taken care of. It is essential to select the tools that align with the requirements. While 50.8% of the businesses think experimenting with MVP can help them make the right decisions, 47.7% of the businesses mentioned defining use cases of the tools as a generative AI UX best practice.

Around 34.6% of the businesses asserted that they collect feedback through conversational prompts, whereas 26.9% of the businesses maintain ethical practices. Around 27.7% of businesses practice accessibility and inclusiveness.

GoodFirms set forth this question to the survey participants, and the following are a few tips shared by our top partners who are experts in UI/UX design services.

“In some cases, AI tools may result in design homogenization, where outputs start to look similar across brands and industries. This phenomenon recalls the effect of early web design frameworks like Bootstrap, where websites began to adopt a similar appearance.” –Alpha Cogs LTD. 

“Research and try to measure the results” –Dot IT.

“Calculate the profit or benefits brought by automated design compared to the costs of its integration.” –VIDKLYK.

“When you use AI-powered design in marketing, you can easily measure the results as you're getting tangible data in return. Gathering user feedback is also another way to determine how many changes that your user has noticed over the usage of AI.” –Jumix.

“Tableau and similar programs that collect tapping behavior permit to study the sequence of actions and how changes aimed at the AI personalization and adjustment of the shapes influence the movement of the users and gradually improve the project.” –yourDMARC.

“Clarity of the approval times is a part of the question that if AI really reduces reworkings, the ROI calculations will show if the investment of the tools was useful. Finally, the metrics on brand visibility have a direct pull for methods of AI-based designs. Such brand, these, metrics altogether inform the understanding and show how AI contributes to the design mechanisms.” –webnexs.

“Next, think about efficiency. AI can speed up production and cut costs, letting your team focus on the bigger picture. Customer feedback matters, too—a quick survey or NPS score will tell you if these designs are hitting the mark.” –WPRiders.

“Adapt to a fresh set of user needs and the way people use technology. As UX/Product Design can bring a lot of value in how people interact with emerging tech.” –Wolfpack Digital.

“I believe a new set of tools would be required for testing the impact or rather modified version if current tools would be needed to measure the impact of AI.” –The Dreamer Designs. 

“KPIs enable companies to quantify the success of AI by focusing on the measurable, observable outputs first, then evaluating indirect benefits like customer satisfaction or creativity.” –The Miller Group.

“Businesses can measure the impact of AI-powered design through a combination of user engagement metrics, conversion rates, customer satisfaction, retention, and operational efficiency.” –Timspark. 

“We regularly collect team feedback to ensure AI is enhancing collaboration, with many designers noting increased productivity and satisfaction from fewer manual tasks.” –Vinova. 

“At TechScooper, we see AI-powered design as a game-changer in creating smarter, faster, and more user-focused solutions. To ensure it delivers real value, we measure its impact based on Efficiency Gains, User Success, Creative Output, Scalability, and ROI. For us, AI isn’t just about automation—it’s about amplifying creativity, improving user experiences, and driving sustainable growth.” –TechScooper.

“Businesses can measure the impact of AI-powered design by tracking key metrics like customer engagement, conversion rates, design iteration speed, and cost savings.” –Tailwebs Technology Pvt. Ltd.

“Enhanced accessibility compliance rates” –Deuex Solutions Pvt. Ltd.

“Speed to market, increased efficiency of development” –Super User Studio.

“One way for businesses to measure the impact of AI-powered designs is to look at productivity in terms of output quality and cost.” –SEO Vendor LLC.

“User Engagement Metrics, Conversion Rates and Revenue Impact, Efficiency and Cost Savings, User Feedback and Satisfaction, A/B Testing and Experimentation, and many more.”--Softpulse Infotech.

“Client feedback is also crucial. I mean, we work pretty closely with our clients, so hearing directly from them about how the AI-driven designs really perform in real-world use will be pretty invaluable. I always take positive feedback related to improved user experience or increased customer satisfaction as a signal that we are on the right track.” –Softuvo Solutions Private Limited.

“Businesses can measure the impact of AI-powered design by tracking key performance indicators (KPIs) such as increased efficiency (e.g., reduced design time), cost savings, improved user engagement (e.g., higher conversion rates or satisfaction), and the quality of design output (e.g., creativity, consistency, and personalization). User feedback and A/B testing can also provide insights into how well AI-driven designs meet customer needs.” –S1 Digital Agency.

“Continuous evaluation and adaptation based on these measurements will help maximize the benefits of AI in UX/UI design” –Revatics.

“Businesses can also assess time and cost savings, the efficiency of design processes, and the personalization of user experiences. Additionally, monitoring brand consistency, quality, and comparing performance with competitors helps gauge its impact.” –Oodles Blockchain.

“Comparing time to produce UX elements w.r.t Human” –OdiTek Solutions. 

“To see how AI-powered design is making a difference, businesses can look at a mix of metrics. Start with user experience—check customer satisfaction (CSAT), Net Promoter Scores (NPS), or how easily people complete tasks.” –Newman Web Solutions.

“The cost-effective ratio is the best way to measure this impact. A lot of work needs to be completed ASAP, so using AI tools is the best way.” –Intermedia.

“Businesses should consider a multifaceted approach. Quantitative metrics like conversion rates, time on page, click-through rates, and sales figures provide concrete data on performance. Qualitative metrics, such as user feedback and brand perception, offer insights into subjective experiences.” –Intertoons Internet Services Pvt.Ltd.

“metrics like cost efficiency and client feedback can provide insights into the value delivered.” –Lantern.

“Monitoring revenue growth, operational efficiency, and brand perception also helps evaluate effectiveness. Continuous testing and feedback refine results.” –Limecom.

“Customer engagement can be evaluated with metrics such as conversion rates, bounce rates, and user retention to see how AI-driven design impacts user experience and product effectiveness.” –DigiTrends.  

“By leveraging a combination of engagement, conversion, usability, and sentiment metrics, businesses can create a holistic view of AI’s impact on design. This evidence-backed, multi-dimensional approach ensures AI investments are maximized for both user satisfaction and business growth.” –Digital Aptech Pvt. LTD.

“Businesses can measure AI-powered design impact by tracking customer engagement, conversion rates, and cost savings. Additionally, metrics like customer satisfaction, speed gains, and A/B testing results reveal its influence on user experience and revenue.” –CleverDev Software.

“The only ways for a business to measure the impact of a design, in general, is through feedback and detailed analytics (heatmaps, recordings etc.). The same goes for AI-powered design. You have to create it and then test it.” –Creatif Agency.

“Via A/B testing, the most reliable option” –CML Team Ltd.

“By setting goals and KPIs, conducting research, and continuously monitoring performance” –Coderfy.

“Conducting A/B testing can help compare AI-driven designs with traditional ones, highlighting improvements in performance.” –AddWeb Solution.

“Businesses can measure the impact of AI-powered design by tracking the following key metrics and outcomes like Performance Metrics, Quality of Output, User Engagement Metrics, Cost Metrics, Adoption and Integration Metrics, Innovation Metrics, and Ethical and Accessibility Metrics. By analyzing these metrics, businesses can determine whether AI-powered design tools are delivering value, enhancing creativity, and aligning with organizational goals.” –Carney Technologies Services.

“To measure AI-powered design impact, track Improved process cycle times and resource utilization.” –Aspire Softserv Private Limited.

“Much like you measure the impact of any software or design project. One key factor that many companies forget to measure is the cost of API usage, which design can affect.” –InfoBeans Technologies.

“Monitoring customer support metrics can highlight how AI-driven designs reduce friction and enhance usability. By combining these data points, businesses can effectively assess the success of AI in enhancing user experiences, driving business growth, and improving operational efficiency.” –UIUX Studio.

AI has seen tremendous acceptance in recent years. However, the future holds many more developments in the field of AI. Here are some AI design trends that will shape the future of UX/UI design.

“Predictive User Experience, Natural Language Processing (NLP), AI-driven Content Creation and AI-enhanced Customization” –Tech2Globe Web Solutions LLP.

Around 40% of the businesses feel that interactive prototype is an emerging trend in AI-powered UX/UI design.

Interactive prototypes can serve a number of purposes for an efficient design. By building interactive prototypes with the help of AI-powered tools, businesses can ensure a full-proof design that can align with user expectations.

With AI, designers can perform a faster prototyping phase and also ensure effective testing of the prototype. 

Over 29.2% of businesses see emotional design as an emerging trend in AI-powered UX/UI designs.

Understanding customer emotions can drive brand loyalty.(4) This indicates that providing a user experience that revolves around customer emotions can be beneficial for businesses. 

Emotion and sentiment analysis, powered by AI, is, thus, crucial for businesses to attract customers and keep them coming back. Analyzing voice and facial expressions through AI capabilities can help create UX that customers welcome. 

It is necessary for designers to leverage AI capabilities to create more emotionally intelligent designes to engage customers.

Around 39.7% of the surveyees said that personalized user journey mapping is an emerging trend in the AI UX industry.

Personalization is the most talked about benefit of AI. AI allows personalizing user experience through data and sentiment analysis. Personalizing user journeys has gained traction in recent years and will continue to do so in the coming years as well. 

Personalized user journey mapping includes behavioral tracking, browsing history, and predicting future activities. Personalized journey mapping can also involve personalized recommendations, content, and even predictive customer support for customer satisfaction.

36.2% of the survey participants said advanced AI algorithms will play a crucial role in shaping the future of AI UX.

While AI algorithms have come a long way, they are poised to advance even further. Natural language processing(NLP) is set to see further developments to make the devices more human-friendly.

With advancements in technology, AI algorithms will become more mature to understand natural human language to make the conversation more simplified, making the devices more interactive. This will lead to more user-friendly voice assistants and chatbots. 

According to 41.5% of the surveyed businesses, adaptive layouts are an emerging trend in AI-powered UX/UI designs.

Adaptive layouts go a step ahead of personalizing UX on past behavior. By analyzing the user behavior, AI-powered designs can dynamically offer a personalized layout. Adapting dynamically to the situation, the layout of the interface is changed as the user requirements.

The dynamically adaptive layout is based on predictive analysis and works on not only personalizing user journey but also streamlining processes. 

Nearly 32.3% of the businesses mentioned improved accessibility, a major future trend in AI UX/UI designs.

Easy accessibility in design is more crucial than ever. Enabling accessibility ensures digital inclusivity. Today, more and more designers are working towards improving accessibility for every digital user, including those with disabilities.

The use of AI capabilities like speech-to-text and text-to-speech can ensure that the products can be easily accessed by everyone. AI-driven accessibility is a must for businesses to stay competitive. Improved accessibility and inclusivity is surely an example of AI UX for business growth.

“Remaining good and competent designers. Design made by human beings is irreplaceable” –Burlamaqui Marketing and Strategy Consulting.

“It's all about blending human creativity with AI's capabilities. First, keep upskilling your team to work smoothly with the latest AI tools. Embrace a flexible design process that's open to experimentation and tweaks. And don't forget to prioritize ethical considerations and user-focused design to make sure the technology truly benefits people.” –Rocketech.

“To prepare for AI-powered design, designers and businesses should learn about AI tools and experiment with them in their workflows. It’s important to combine AI with human creativity to create innovative designs. Training teams on how to use AI, focusing on ethical practices, and testing designs with real users will ensure the AI tools improve the overall user experience and stay aligned with business goals.” –Zealous System.

“Designers and businesses can prepare for the future of AI-powered design by continuously learning and adopting new AI tools and techniques, and by fostering a culture of innovation and flexibility to adapt to emerging trends. Investing in AI training and collaboration with tech experts can also ensure they stay ahead in the rapidly evolving design landscape.” –World Web Technology Pvt. Ltd.

“AI’s ability to analyze user data and create personalized experiences is a game-changer. Designers and businesses need to get comfortable with hyper-personalization—designing experiences that cater to individual user needs, preferences, and behaviors. This may involve customizing website layouts, creating adaptive UI/UX, or generating unique content for users based on AI insights. Businesses should consider how they can use AI to create tailored experiences that improve user engagement and satisfaction.” –WeblineIndia.

“Designers should understand how AI works, including machine learning in UX design, to collaborate effectively with AI tools. Engage with platforms like Adobe Firefly, DALL·E, Figma AI, and MidJourney to explore capabilities and limitations.” –WebChefz Infotech (P) Ltd.

“Develop your own hard- and soft- skills so that AI becomes the hands, not the head of a specialist” –Everest.

“To prepare for the future of AI-powered design, designers and businesses should invest in upskilling to understand AI's capabilities, focusing on areas like machine learning, data analysis, and automation tools. Embracing a mindset of continuous learning and adaptability is key, as AI's role in design will keep evolving.” –Tkxel.

“To prepare for incorporating AI-powered design, designers, and businesses can take several key steps. These include learning how to use AI-based design tools, upskilling in AI technologies and data analysis, maintaining agility in design processes, fostering cross-functional collaboration, carefully considering ethical implications, and using data-driven insights to guide design decisions.” –Techinfini Solutions Pvt. Ltd.

“Learn prompt engineering” –SoluteLabs.

“Designers and businesses should embrace a mindset of continuous learning and experimentation. Stay informed about emerging AI tools and trends and integrate them into workflows where they add value. Most importantly, balance automation with creativity—AI is a tool to enhance, not replace, human ingenuity.” –Storm Brain.

“Designers and businesses can prepare for the future of AI-powered design by staying adaptable and learning how to work alongside AI tools effectively. For designers, this means building skills in understanding data, automation, and how AI can enhance creativity. Businesses should invest in the right AI technologies and focus on integrating them seamlessly into their workflows.” –Sunmait Technologies Ltd. 

“Focus on using AI to enhance human creativity, not replace it. Understand machine learning in UX design to effectively leverage these tools while prioritizing empathy and human insight.” –SunTecIndia.

“To prepare for the future of AI-powered design, designers, and businesses should embrace AI as a tool to enhance creativity and efficiency. This involves continuous learning about AI tools, fostering collaboration between humans and AI, and prioritizing ethical considerations in AI development and use.” –PerfectionGeeks.

“Efficient, creative, and user-centric designs that complement changing market trends can be produced by embracing data-driven insights, encouraging creativity in addition to automation, and making sure AI is used ethically.” –Mxpertz Infolabs.

“Invest in AI Infrastructure: Allocate resources for AI tools, software, and hardware. Establish data management and privacy protocols. Create a supportive environment for experimentation and innovation.” –NetBramha Studios.

“By staying updated on AI trends, developing skills in AI tools, focusing on data-driven design strategies, and fostering adaptability to integrate AI seamlessly into creative processes.” –Digital Agency Bangkok Co., Ltd.

“Challenge is the need for an interface at all for a given use case beyond a natural language, chat-first UX solution. Less interface is more in the future of AI-powered design.” –BlueLabel.

“They have to adapt their processes and train employees to be prepared to use the AI, that will be a must soon” –ABAMobile

“To get ready for AI-driven design, businesses and designers should adopt AI tools, keep track of emerging trends, encourage teamwork between creatives and tech experts, and prioritize innovation and user-focused designs that AI can support rather than substitute.” –Computools.

“Staying at  the forefront of new technology advancements. Looking out for what is out there. Using AI to speed up processes rather than replace our current workflow.” –CC Creative Design.

“Prepare the use cases to ensure what you wish is what you get” –Ansi ByteCode LLP.

“To prepare for the future of AI-powered design, designers and businesses should focus on skill development, ethical practices, and adaptability. Designers can start by mastering AI tools and understanding data analytics to harness AI’s potential fully.” –AgileTech Vietnam.

“Collaboration between designers and AI systems is key to combining human creativity with AI capabilities.” –Azilen Technologies.

“Designers and businesses can prepare for AI-powered design by cultivating a balance between technical skills and creative insight. For designers, this involves gaining familiarity with AI tools that enhance design processes—such as those that assist in pattern recognition, personalization, or dynamic content adaptation—while staying grounded in fundamental design principles.” –Binmile Technologies.

“Designers and businesses can prepare for the future of AI-powered design by staying updated on AI tools, investing in training, and experimenting with AI-driven features in small-scale projects. Collaboration between design and AI development teams can foster innovation and help identify optimal use cases.” –byVoice. 

“Building a strong understanding of data ethics and user-centered design should also ensure that AI-driven products remain relevant, ethical, and user-friendly” –IdeaSoft.io

“Continuous education and upskilling for both employers and employees, integrate AI tools gradually and adapt workflows and processes with AI tools. It's also important to cultivate an innovative-driven culture within the company.” –Populis Digital.

“Keep track of advancements in AI and how they reshape design trends and user expectations.” –RedSwitches.

“Start by shifting your mindset—AI boosts efficiency, but it’s up to you to shape designs that meet user needs and business goals. Stay curious, keep learning, and explore new tools to see where AI fits best in your workflow.” –Reenbit.

“Try partnering with AI experts, attending workshops, or simply learning the latest software - anything to drive innovation. Companies that rely on AI design innovation are ahead of their competitors and produce products that capture the imagination of customers. To do so, they need to know all the latest insights.” –Relevant Software. 

“We have not yet invested in AI-backed design tools or partnered with any UI/UX design companies. However, we are continuously exploring new technologies and partnerships to enhance our services in the future.” –Aveshost.

“Yes, we have invested in AI-backed design tools to help create better user interfaces and experiences. These tools help our designers work faster and make smarter design choices. We also work with trusted UI/UX design companies to make sure our designs are user-friendly and effective.” –Cloudester Software LLC. 

“Yes, we are exploring AI-backed design tools and partnering with top UI/UX design companies to ensure we stay ahead of the curve in AI-powered design solutions.” –Hashtrust Technologies.

“As a design company, we leverage AI tools daily to streamline our workflow and enhance productivity. We utilize Uizard to explore prototype ideas, tapping into its AI capabilities to quickly generate wireframes and mockups that inspire our creative direction. These AI tools allow us to work faster, stay innovative, and deliver high-quality designs.” –Obriy Design Buro.

“We regularly study the market and leverage existing AI-backed design tools to enhance our team’s workflow and efficiency.” –Onix-Systems. 

“Yes, we have embraced AI-backed design tools to enhance efficiency and deliver exceptional results. Some tools we frequently use include Figma with AI Plugins, Adobe XD with Generative AI, ChatGPT, and Looka. These tools complement our expertise, enabling us to focus on creativity and user-centric solutions while speeding up processes. If you're considering partnerships, we'd love to collaborate!” –Pixlogix Infotech Pvt. Ltd.

“Yes, our agency has invested in AI-backed design tools, including Adobe Sensei and Figma with AI-powered plugins, to enhance our UI/UX capabilities and streamline design workflows.” –Seize Digital Marketing Agency.

• Around 79.2% of the survey participants utilize artificial intelligence for content creation for a better UX
• Around 42.3% of the survey respondents leverage AI in UX for testing processes.
• Around 63.1% of the survey respondents mentioned that GenAI in design enhances productivity.
• Over 31.5% of the businesses said that leveraging GenAI in design can help in creating a conversational UI.
• About 43.8% of the survey participants said data quality is a challenge when integrating GenAI in design.
• Customization limitations are a challenge for 34.6% of the survey respondents when using GenAI in design.
• About 50.8% of the survey participants mentioned selecting the right tools must be taken care of.
• Around 39.7% of the surveyees said that personalized user journey mapping is an emerging trend in the AI UX industry.
• Nearly 32.3% of the businesses mentioned improved accessibility as a major future trend in AI UX/UI designs

Artificial intelligence has come a long way increasing its potential UX/UI arena where it naturally connects the product goal, designer’s perception, and the developer’s execution. The time consumed between ideating till designing the end product is shortened with the help of AI. Advanced algorithms, and automation have been beneficial for UX designing, as it enhances the efficiency and reduces the cost, and resources.

Although there are several challenges that designers have to face, the benefits of AI for improving the user experience provide businesses ample opportunities for growth. By following the best practices and maintaining ethics, AI has a lot to offer to the design industry.

We sincerely thank our research partners for their valuable insights.

1. https://www.thinkwithgoogle.com/future-of-marketing/creativity/marketing-personalization-statistics/ 
2. https://www.forbes.com/advisor/business/software/ai-in-business/ 
3. https://www.capgemini.com/wp-content/uploads/2019/09/Report-%E2%80%93-Conversational-Interfaces_Web-Final.pdf 
4. https://www.forrester.com/blogs/to-win-customer-loyalty-make-customers-feel-valued-appreciated-and-respected/#:~:text=The%20three%20positive,in%20every%20industry.