Greater than the sum of our parts: The new division of labor in design with AI

Abstract

Design is how humans change the world, and in the age of AI it is increasingly a joint activity between humans and machines. This perspective argues that AI does not simply add new tools to the designer’s repertoire; it has the capability to reorganize the division of labor in design and, in doing so, reshape what it means to be a designer. We distinguish between representative technologies, which model and derisk complex systems (eg digital twins, immersive simulations), and operative technologies, which act directly within design processes (eg generative and agentic systems that propose, evaluate, and select alternatives). Viewed through the Five-Cycle model of design, we argue that these technologies widen inputs, accelerate exploration, and tighten feedback across problem definition, conceptual and embodiment design, and value proposition. In our model, representative tools derisk what to believe; operative tools derisk what to try. Together these technologies could enable closed-loop, hybrid human-AI design processes in which human roles shift from manual problem solving toward stewardship, curation, translation, and, in a democratized future, even historical guardianship of designerly knowledge. We contend that design science is essential for understanding and guiding this transition: explaining how human purpose, creativity, and responsibility are redistributed in human-AI teams; developing methods to study how values propagate through automated design workflows; and informing education and practice so that increasingly automated design processes remain aligned with human intent and societal well-being.