"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 transforming design rapidly, replacing meticulous pixel work with instant, vibe-driven prototyping tools that change workflows. Product design priorities are shifting from fidelity toward foresight, requiring trend sensing, future-proof systems, and long-term conceptual thinking while still solving immediate, valuable problems. Design must now account for AI agents as embedded collaborators alongside human users, prompting new personas and a need to reconcile emotional intuition with logical execution. Agents parse, tokenize, and operate on patterns, context, and probability rather than feeling, so interfaces must expose structured data, semantic markup, accessible roles, predictable metadata, and clear context. Human-readable aesthetics alone will be insufficient for intertwined human-agent interactions.
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