"AI is disrupting more than the software industry, and is doing so at a breakneck speed. Not long ago, designers were deep in Figma variables and pixel-perfect mockups. Now, tools like v0, Lovable, and Cursor are enabling instant, vibe-based prototyping that makes old methods feel almost quaint. What's coming into sharper focus isn't fidelity, it's foresight. Part of the work of Product Design today is conceptual: sensing trends, building future-proof systems, and thinking years ahead."
"As AI agents become embedded collaborators in our systems, designers face a powerful and pressing question: Who are we designing for now? Suddenly, we find ourselves in the middle of a new Experience dilemma: designing for both people and programs. That means exploring new personas and reconciling different approaches: emotional intuition, logical execution, and the coherence of both. Let's have a look at the pitfalls of this dilemma and explore what we have to consider while designing for both humans and machines."
AI is rapidly changing design practices, shifting focus from pixel-perfect fidelity to foresight, trend sensing, and future-proof systems. Designers must balance long-range conceptual thinking with delivering immediate, valuable solutions. As AI agents become embedded collaborators, design goals expand to include non-human users that parse structured data, tokenization, and probabilistic interpretation. Interfaces need clear semantics, predictable metadata, and accessible roles so machines and humans can interact coherently. New UX abstractions and personas are required to reconcile emotional, intuitive human needs with logical, executable agent behaviors while maintaining usability and long-term adaptability.
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