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You can't tell AI to fix User Experience (yet)

The article argues that current AI tools cannot replace the nuanced, human-centered process of UX design—they can assist with tasks but lack the contextual understanding needed to truly solve complex user experience problems.

Background

- UX (User Experience) design involves subtle, context-dependent decisions—like intuitiveness, emotional resonance, and visual hierarchy—that current AI models struggle to handle reliably. - The article argues that while AI can generate code or copy, it lacks the deep understanding of human behavior, brand identity, and business goals needed to truly "fix" UX. - "Yet" signals that this limitation may be temporary; advances in AI reasoning and multimodality could eventually change this, but for now, human designers remain essential. - The piece is by Gilli, an Icelandic designer/developer whose audience follows tech and design discourse but may not work in UX themselves—so the key insight is why AI falls short on tasks that feel "simple" but require deep human judgment.

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