Design Systems Need an AI Brief, Not an AI Rebrand
Making your design system 'AI-ready' is this season's new buzzwork. But the actual work—cognitive inclusion in UX research, accessible defaults, structured tokens—is quieter and more durable than the hype suggests.
Two Smashing Magazine pieces ran in the same cycle: one on making design systems AI-ready, another on cognitive inclusion in UX research. The proximity is accidental, but the conversation they point to is the same one.
AI-ready design systems are getting a lot of attention. Most of the discourse, though, is about feeding components to generative tools or structuring tokens so an LLM can reason about them. That's real work. But it misses the more important shift: if AI is going to generate interfaces at scale, the *defaults* your system enforces matter more than they ever did.
Cognitive inclusion—designing for users with memory, attention, or processing differences—isn't a niche concern. It's the stress test for whether your defaults are actually usable when a human isn't holding the AI's hand. A design system that fails users with cognitive load differences will fail at AI-generated scale too, just faster and at higher volume.
The practical question for studio and product teams: before you audit your design system for AI compatibility, audit it for inclusion. If your component library assumes a neurotypical user who reads every label and follows linear flows, no amount of structured tokens will fix what gets generated from it.
Solid defaults don't need to be overridden. That's the brief.