Design Systems for the Machines - How to Make AI Understand Your UI

Design systems were created to make interfaces predictable for humans, now we need to make them predictable for machines. In a world where AI agents analyse, navigate and document our UIs, a component is only as useful as it is machine-readable. This talk shows how to embed semantic metadata, accessibility signals and structural intent directly into your design-system components, so AI can correctly interpret their purpose, behaviour and constraints. Jennifer demonstrates how machine-readable components unlock automatic documentation, AI-assisted accessibility reviews, intelligent refactoring and design-to-code pipelines that actually understand your product. The session delivers a forward-looking, practical blueprint for design systems that aren't just beautiful and consistent, but self-descriptive, inspectable and fully compatible with the AI-driven workflows of the future.