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AI Can Generate Interfaces on the Fly. But Users Still Need Orientation.

Why should software even have fixed interfaces anymore? Last week, Google announced new “Generative UI” capabilities for Search — dynamically generating interfaces, visual tools, simulations, and layouts in real-time as part of the answer …

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Dashboard vs. Chat



Why should software even have fixed interfaces anymore?



Last week, Google announced new “Generative UI” capabilities for Search — dynamically generating interfaces, visual tools, simulations, and layouts in real-time as part of the answer itself.



And honestly, the demos are impressive.



If AI can generate the perfect UI for the exact context, maybe every experience should become fully dynamic.



But I think this direction also exposes a deeper challenge.



Because historically, great software products were not only powerful.



They were predictable.



Users learned them over time.


They built habits, intuition, and trust.



The interface itself became familiar.



But AI is pushing software toward something much more fluid:




  • generated interfaces

  • conversational interactions

  • adaptive workflows

  • contextual layouts



Why force every user into the same experience if software can adapt itself dynamically?



But flexibility alone is not what makes products feel good to use.






Great UX Is Not Just Flexibility



Humans don’t only need powerful systems.



They also need consistency, guidance, structure, familiar flows, and predictable behavior.



You can already see this tension appearing in product discussions today.



If users can simply ask an AI questions directly, do we still need dashboards at all?



And in some cases, maybe we don’t.



But dashboards also provide something important: consistency.



People learn them over time.


They know where to look.


Teams align around shared definitions and metrics.


And users build trust in workflows that behave predictably.



That determinism matters more than we sometimes realize.



Chat interfaces expose this problem very quickly.



Users often don’t know:




  • what to ask

  • how to ask it

  • what’s possible

  • or whether the result they received is even correct



And fully generated interfaces may create a similar kind of friction.



If the interface constantly changes:




  • where does familiarity come from?

  • where does trust come from?

  • how do workflows become repeatable?



Great UX is not just about flexibility.



It’s about helping users feel oriented.






The Next UX Challenge



I don’t think the future of software is static UI.



But I also don’t think it’s completely fluid interfaces generated from scratch every time.



The products that win will probably balance adaptation with consistency.



What’s interesting is that dynamic interfaces may actually increase the importance of stable foundations.



Because if experiences become more adaptive, users still need consistency somewhere:




  • in interactions

  • in patterns

  • in behavior

  • and in the mental models products create over time



Maybe the future is not fully generated UX.



Maybe it’s adaptive experiences built on top of stable foundations.



And if interfaces become increasingly dynamic and generated in real-time, the more interesting question may be:



How do we preserve the things that made great software feel trustworthy in the first place?



Google announcement:


https://blog.google/products-and-platforms/products/search/search-io-2026/#agentic-coding

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