"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 transforming product design beyond software, shifting emphasis from pixel-level fidelity to long-term foresight. Designers must balance conceptual work—sensing trends, building future-proof systems, and planning years ahead—with solving present, tangible problems that deliver immediate value. The emergence of AI agents as embedded collaborators creates a new dual audience: human users and non-human agents that parse structured data. Effective design will require new UX abstractions such as semantic HTML, predictable metadata, accessible roles, and machine-readable structures while preserving human-centered qualities like intuition and emotional coherence.
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