Generative design entrusts the production of shapes or solutions to a system (such as an algorithm, parametric model, or AI) based on objectives and constraints defined by the designer, who then selects the best fit from the generated options.

This visionary concept predates modern AI. As early as the 1960s, generative art (pioneered by Sol LeWitt's instruction-based art, and later Karl Sims' advanced algorithms) established that we can design a process rather than just a finished object. Parametric design later brought this to scale in architecture and engineering: by defining smart rules, the machine effortlessly explores the entire spectrum of possible forms. Today, generative AI brilliantly extends this power to text, imagery, and user interfaces.

This represents a thrilling paradigm shift: if the machine generates the output, who is the creator? The designer no longer manually draws the final result; instead, they craft the conditions under which it flourishes—the objectives, constraints, and curated examples—and then make the final selection. The creative act moves beautifully from pure execution to intention and judgment. It is not a loss of control, but a redirection of mastery: we no longer dictate the exact form, we steer the generation toward excellence.

To achieve true differentiation, we must avoid two pitfalls. First, homogenization: a model trained exclusively on the past will only recreate what has already been seen, and sheer ease can produce a flood of "average" designs. Second, the dilution of intent: generating a thousand options is meaningless unless you possess the strategic vision to choose the right one, and explain why. True competitive value lies precisely where the machine cannot go: in meaning, context, and bold, unique perspectives.

Our approach: we harness generative design to explore broadly and with incredible speed, but we never let it make the decisions. We firmly maintain control over the intent and the final curation, always keeping our designs grounded in real-world utility. While the machine suggests brilliant possibilities, we remain fully responsible for what is chosen—and the strategic reasoning behind it.

Explore related insights: Artificial intelligence in design, the double diamond (diverging and converging in the age of AI), creativity, data-driven design, and ideation.

References: Generative art (S. LeWitt, K. Sims); Parametric design; The exciting rise of generative AI.