Taste cannot be delegated, and neither AI nor organizational consensus can substitute for it. That is the central argument of this piece from UX Collective, which connects two prior essays into a single diagnosis: AI systems optimized on preference data and design-by-committee processes share the same flaw. Both are good at identifying what people currently choose. Neither can decide what should exist next. The iPhone example is not decoration here. Apple's removal of the physical keyboard in 2007 contradicted every observable user preference signal. BlackBerry owned the market. Business users demanded tactile input. The decision was not an optimization of existing data. It was a judgment call about a future users had not yet experienced.
The article draws a hard line between preference and judgment. Preference describes what people choose. Judgment explains why something is the right choice. A generative model trained on millions of ranked outputs can detect that clean layouts and restrained typography correlate with positive feedback at a scale no human can match. What it cannot do is evaluate a design decision against an ambition that does not yet exist, or know whether removing an element creates clarity versus strips personality. The same critique applies inside organizations. When a design proposal passes through product, engineering, marketing, sales, legal, and leadership, every layer adds a perspective and subtracts accountability. The result is not refined judgment. It is averaged preference with no one responsible for the outcome.
The piece is worth reading in full because the argument does not stop at diagnosis. It builds toward what actually constitutes taste: exposure to exceptional work, a built internal reference library, and, critically, the organizational authority to act on it. Recognition without responsibility is useless. The structural question the article raises is uncomfortable: if AI accelerates execution and committees neutralize ownership, where exactly does design judgment live inside a modern organization, and who is accountable when it goes wrong.
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