"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. But besides the current momentum, we still have to focus on real problems that bring real value as of now. This balance is sometimes challenging, but also creates opportunities to reform our thinking and approaches."
"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 disrupting design workflows and enabling instant, vibe-based prototyping that shifts emphasis from pixel fidelity to long-term foresight. Product design now includes sensing trends, building future-proof systems, and thinking years ahead while still solving present, value-driving problems. Designers must reconcile emotional intuition with logical execution as systems become collaborative with AI agents. Agents parse, tokenize, recognize patterns, and interpret strictly rather than feel. Designing for agents requires machine-readable UX abstractions such as structured data, semantic HTML, accessible roles, predictable metadata, and clear context to ensure coherent human-agent interactions.
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