(Serious question) UX / Product designers currently working at top companies like Google, Amazon, Microsoft, Apple, and Medium—without going into details, could you share what you’re working on? Also, is there uncertainty about the future even at the top?
(Serious question) Ux / Product designers currently in top companies like google, amazon, microsoft, apple and medium to top product brands without going into details plz tell us what you are working on and is it uncertainty even on the top about the future?
HCI Today summarized the key points
- •This post asks how UX designers at major, market-leading tech companies view their real roles and the use of AI.
- •Respondents generally say that while the work goals are clear, the day-to-day work at large companies involves a lot of experimentation and iteration, which creates confusion.
- •AI is used broadly for research, summarization, documentation, data analysis, and prototype creation, but they say that validation and deciding product direction are still handled by people.
- •They explain that layoffs are driven less by simple skill issues and more by management decisions such as organizational downsizing, project shutdowns, and how budgets and headcount are allocated.
- •It suggests that Figma alone isn’t enough, and that understanding code, using data, and adapting to AI tools will determine designers’ competitiveness going forward.
This summary was generated by an AI editor based on HCI expert perspectives.
Why Read This from an HCI Perspective
This post is worth reading because it shows how hands-on UX/design work inside large organizations is being reshaped by AI, performance pressure, and changes in organizational structure. In particular, it surfaces issues that HCI practitioners are familiar with—such as role clarity, the causes of layoffs, and the redefinition of tool capabilities—but that are often discussed only in abstract terms. From a researcher’s perspective, it also raises a systemic question: rather than asking what counts as a ‘good tool,’ it asks which capabilities are recognized as valuable within the system.
CIT's Commentary
From a CIT perspective, this discussion isn’t just about “what comes after Figma.” It illustrates that the core axis of design practice is shifting from UI production toward problem definition, validation, and decision-support. Notably, AI tools aren’t only speeding up design deliverables; they’re also absorbing tasks like prototyping, data analysis, and documentation—expanding the boundaries of what designers do. However, as the comments suggest, ‘tool proficiency’ can easily be overvalued as a proxy for expertise. In HCI, we need to look more precisely at how productivity gains and judgment, critical thinking, and contextual understanding do—or do not—remain separable. Also, rather than reducing layoffs to individual capability, we should interpret the structural impact of organizational portfolio adjustments and cost–value calculations on career stability.
Questions to Consider While Reading
- Q.As AI adoption accelerates, can we say that designers’ core capabilities are shifting from producing deliverables to what kind of judgment skills?
- Q.In large organizations, what conditions keep role clarity intact, and what mechanisms are needed from an HCI perspective so that it doesn’t limit creativity or experimentation?
- Q.When talking about learning tools after Figma, is the real signal that—more than ‘coding’—a certain level of computational thinking and data understanding is becoming more important?
This commentary was generated by an AI editor based on HCI expert perspectives.
Please refer to the original for accurate details.
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