What it is — Nielsen Norman Group argues that as PMs and engineers increasingly generate designs with AI, UX's core deliverable needs to shift from wireframes toward structured, machine-readable context.

Key points

• Research output should move from human-readable artifacts (personas, journey maps) to context AI systems can consume directly.
• Points to Google's open-sourced DESIGN.md format as a model: exact machine-readable values (colors, spacing) paired with human-readable rationale, so AI knows what a value is for, not just its number.
• Frames this as continuous curation, not a one-off handoff — the context file lives alongside code and gets updated as research evolves and AI output is monitored.