"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 accelerating change across design practices, shifting focus from pixel-perfect fidelity to anticipatory foresight. Contemporary product design requires sensing trends, building future-proof systems, and balancing conceptual long-term thinking with solving present, valuable problems. Designers must account for AI agents as embedded collaborators, which introduces a dual audience: humans and programs. Agents parse and tokenize inputs, operate on pattern recognition and strict interpretation, and require structured, semantic, and predictable interfaces. Designing effectively means creating interfaces that serve emotional human needs while remaining accessible and interpretable to non-human readers through structured data, metadata, and clear context.
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