A few years ago, everyone rushed towards VR and AR. Like other “gold rushes,” this gave a certain technological push, but in my opinion, there was much more hype than worthwhile results.
Many companies now add AI to their products to show they are on-trend. But this time, it's somewhat more serious because, a few weeks ago, speakers at the Config conference made the entire industry nervous by demonstrating how AI can create an interface in Figma within seconds. Was the AI's work remarkable and stylish? Absolutely not, but it was typical of an average trainee or junior designer. I believe that in a few years, AI will take over routine tasks, allowing UX designers to dedicate more time to research and identifying key elements in services and products.
The AI revolution has drastically changed the way we work, from streamlining processes to taking on tasks that used to be done by hand. While many of us are still on the fence about fully embracing AI, the digital world is already rolling out beta versions of AI tools that could potentially replace entire teams.
We caught up with Taras Shypka, a UX Designer at ALLSTARSIT, to chat about AI in UX design – what tools can speed up your workflow, how to use AI wisely (and where you might go wrong), and whether the core principles of design will shift as AI continues to evolve.
While AI isn’t great at doing things on its own yet, it needs training. However, with a set of high-quality artifacts, you can trust AI with certain tasks. For example, processing a large dataset from user interviews and quickly extracting key insights and conclusions. Similarly, AI can be used to draw sketches for quick ideas or storytelling.
The AI revolution has drastically changed the way we work, from streamlining processes to taking on tasks that used to be done by hand. While many of us are still on the fence about fully embracing AI, the digital world is already rolling out beta versions of AI tools that could potentially replace entire teams.
We caught up with Taras Shypka, a UX Designer at ALLSTARSIT, to chat about AI in UX design – what tools can speed up your workflow, how to use AI wisely (and where you might go wrong), and whether the core principles of design will shift as AI continues to evolve.
A few years ago, everyone rushed towards VR and AR. Like other “gold rushes,” this gave a certain technological push, but in my opinion, there was much more hype than worthwhile results.
Many companies now add AI to their products to show they are on-trend. But this time, it's somewhat more serious because, a few weeks ago, speakers at the Config conference made the entire industry nervous by demonstrating how AI can create an interface in Figma within seconds. Was the AI's work remarkable and stylish? Absolutely not, but it was typical of an average trainee or junior designer. I believe that in a few years, AI will take over routine tasks, allowing UX designers to dedicate more time to research and identifying key elements in services and products.
While AI isn’t great at doing things on its own yet, it needs training. However, with a set of high-quality artifacts, you can trust AI with certain tasks. For example, processing a large dataset from user interviews and quickly extracting key insights and conclusions. Similarly, AI can be used to draw sketches for quick ideas or storytelling.
Creating “templates” for user interviews, UX writing, and even working with microcopy is well handled by Claude AI or ChatGPT.
As one of the industry leaders, Figma has added a feature in FigJam that allows generating boards from prompts in seconds. Miro has also been inspired by this and now has its own Miro Assist.
Microsoft Copilot, in a closed infrastructure, can be an excellent knowledge keeper for project knowledge. I know of examples where it’s used for onboarding new employees.
It’s difficult to trust neural networks with usability reviews. While there are several services for this, it’s still hard for them to understand the context of using a particular product or service.
When it comes to innovative or completely new solutions, that’s where the challenge lies. If AI hasn’t encountered something similar before, it won’t be able to handle it effectively.
AI, like any tool, carries certain risks, especially when it comes to its excessive use or dependence on it. One of the main risks is the loss of uniqueness and innovation. If designers rely on AI to create standard solutions, this could lead to the unification of designs and the loss of a creative approach.
AI also doesn’t always consider cultural and emotional aspects, which can be critically important in designing for different audiences. Additionally, excessive automation could reduce the designer's role in decision-making processes, which, in the long term, could lead to the loss of essential skills in the profession.
AI can significantly change the dynamics between designers and developers. With AI, UX designers can whip up prototypes or even full interfaces in no time, which can really speed up the development process and cut down on the number of revisions needed.
However, this can also create new challenges. Developers may need more time to understand automatically generated solutions or adapt them to existing architectures. Additionally, AI can become an extra tool for communication between teams, such as assisting in creating documentation or data analysis, but it’s important that AI doesn’t become a barrier to communication but rather a tool that enhances collaboration.
AI is already playing an important role in ensuring accessibility, which is a critically important aspect of UX design. For example, AI can automatically analyze color schemes and check if they meet accessibility standards for people with visual impairments. It can also suggest alternative text for images or other interface elements to make them accessible to people with disabilities. AI can also automatically check if a page’s structure meets accessibility standards and suggest fixes. This is especially useful for large projects where manual accessibility checks could be too labor-intensive.
Definitely, yes! They are already changing because it’s possible to delegate a large amount of routine work to neural networks today. This way, I, as a designer, can focus even more on the quality of my work.
The AI revolution has drastically changed the way we work, from streamlining processes to taking on tasks that used to be done by hand. While many of us are still on the fence about fully embracing AI, the digital world is already rolling out beta versions of AI tools that could potentially replace entire teams.
We caught up with Taras Shypka, a UX Designer at ALLSTARSIT, to chat about AI in UX design – what tools can speed up your workflow, how to use AI wisely (and where you might go wrong), and whether the core principles of design will shift as AI continues to evolve.
