Embedded GUI Trends 2026
“Today, developers spend less time typing and more time thinking—and AI is the reason why.”
This observation captures a fundamental shift currently reshaping embedded GUI development. The requirements for embedded GUIs are evolving rapidly. What once revolved primarily around fitting interfaces into tight hardware constraints is now influenced by a broader set of forces—rising cost pressure, increasing system complexity, new interaction models, and the growing influence of AI in development workflows. Against this backdrop, the role of the user interface is evolving from a purely technical layer into a central part of product experience and differentiation. For development teams, this shift raises new questions: how to stay efficient under tighter constraints, how to bridge design and implementation more seamlessly, and how to prepare for platforms that continue to converge and diversify at the same time. To better understand what these changes look like in practice, we spoke with Rudolf Leberfinger, Head of GUI Services, and Manuel Melic, Head of Product and Business Development for Embedded Wizard, both of whom bring more than 20 years of experience in embedded GUI development and have closely observed its evolution from early systems to today’s highly complex platforms.
What challenges are currently putting the most pressure on embedded GUI teams?
Manuel: One of the biggest drivers we see is AI. Last year, it was more a feeling that something was coming. Now, AI has a very real and measurable impact on how products are developed. At the same time, hardware-related pressure has increased significantly; especially memory constraints and overall cost pressure. Customers want to reduce resources wherever possible. That often means using smaller, cheaper microcontrollers, sometimes without external memory, while still expecting large displays and modern-looking UIs. This inevitably affects design decisions. Certain visual features, like high-quality vector graphics, may no longer be feasible, simply to remain competitive in the market.
Rudolf: From the GUI Services perspective, we clearly see a shift away from browser-based UIs running on powerful MPUs with OpenGL. Many customers are rethinking their setups and moving back to MCU-based systems with fewer resources and sometimes even lower display resolutions. Cost is one reason, but component availability is another important factor. A sophisticated UI doesn’t help if the required hardware can’t be delivered for a year. In many cases, it’s more reasonable to reduce requirements and bring a product to market earlier. That makes good UI design even more critical: achieving a convincing user experience on smaller hardware is a key challenge today.
How can companies reduce time-to-market for GUI projects in 2026 without sacrificing quality and flexibility?
Rudolf: AI plays a central role here. In modern GUI development, working without AI means falling behind. Used correctly, AI can significantly accelerate development while maintaining quality. The key is to integrate it consciously into daily workflows. However, it’s important not to overdo it. You must stay in control and understand what the AI is generating. If you blindly accept results, you risk performance issues—especially in embedded systems, where memory consumption and execution time matter a lot.
Manuel: We see a clear paradigm shift: developers increasingly invest more time in thinking and conceptual work, and less in repetitive typing. That’s why we integrated the AI Console into Embedded Wizard Studio 15 to support tasks like refactoring, translation, boilerplate generation, documentation, and even coding and testing. This allows developers to focus on architecture, design decisions, and problem-solving. AI becomes a tool that removes friction, not a replacement for human understanding. But the developer must always stay mentally involved to judge and steer the outcome.
What has changed since last year in terms of user requirements and technical developments in embedded UI design?
Rudolf: When it comes to user interaction patterns, what we see is more evolution than revolution. Established UI patterns remain relevant; they are refined, polished, and slightly modernized rather than replaced entirely. On the development side, however, the change is more pronounced. AI-supported tools now span the entire process, from planning and UI design to interaction testing and simulation. AI can even act as a sparring partner during concept validation, reducing the need for large and time-consuming user tests early on. This is a significant milestone for UI development efficiency.
Manuel: From my perspective, there is a clear AI-driven revolution happening on the development side. This goes far beyond UI interaction and affects the entire software lifecycle. Concept creation, implementation, testing, and even documentation now benefit from AI assistance. Documentation, for example, becomes much more manageable when AI generates a solid draft that developers then review and refine. In addition, AI can help reduce risks by acting as a neutral “team member” that understands the codebase and assists with analysis or explanation. That’s why I would say we’re already seeing the beginnings of a real transformation in how software, and embedded GUIs, are developed.
Do you see any risks in using AI for GUI or software development?
Manuel: One obvious concern is data security—what happens to your code and data, and whether it’s used for training. Fortunately, there are now good ways to control and limit this. The bigger risk, in my opinion, is losing the deep understanding of what you’re building. When developers only tell AI to “implement this”, they may no longer fully understand the algorithm or logic behind it. That loss of connection and knowledge can become a long-term problem for teams and products.
Rudolf: I agree. Developers increasingly become technical project managers for AI tools rather than hands-on implementers. However, you have to make sure to re-evaluate its output every time, since AI has no real memory or responsibility.
Looking ahead: what should developers prepare for in embedded GUI development over the next few years?
Rudolf: With NPUs becoming available even in cost-sensitive segments, we’ll see new interaction models emerge, beyond classic touch or physical buttons. Voice control, gesture recognition, and image-based interaction will increasingly find their way into MCU-based systems as well. That will change GUI design fundamentally. Interfaces will no longer rely solely on visual elements but will incorporate context awareness; recognizing users, environments, or situations.
Manuel: The GUI will increasingly become a holistic interaction layer, not just a graphical one. Personal voice assistants, local language models, translation features, and on‑device (edge) AI will simplify user interaction rather than make it more complex. In many cases, the visual UI might even become simpler because spoken interaction can handle complexity more naturally. From a development perspective, this also means thinking about resilience—technically, economically, and even geopolitically. AI can be perceived as a threat or as an opportunity. The key is to consciously use it as a tool that strengthens products and teams rather than replacing understanding and expertise.
Rudolf: Another interesting observation is that after years of shifting functionality to mobile apps, some manufacturers are rediscovering the value of local displays. For long-lived devices, a built-in UI can reduce maintenance effort and simplify installation and operation over many years.
Manuel: That also ties into configurability. Devices often need to stay in the field for 10 years or more. Being able to adapt colors, layouts, menus, or branding without a full firmware update is becoming increasingly important. That’s a topic we’re actively working on in product development to make configurable UIs simpler and more efficient to maintain over the entire product lifecycle.
The Next Chapter in Embedded GUI Development
What becomes clear from this discussion is that embedded GUI development is entering a new phase of complexity and opportunity at the same time. AI is accelerating workflows, hardware constraints are forcing smarter design decisions, and user expectations continue to rise across all device classes. Rather than replacing established practices, these developments are reshaping how teams think about efficiency, flexibility, and long-term maintainability. In this environment, success is less about individual tools or technologies and more about how well they work together across the entire development process, from concept and design to implementation and deployment.
If you are currently facing similar challenges or planning your next GUI project, we are happy to continue this conversation with you. Feel free to reach out at any time!