Material's Tokens Push Shows Systems Thinking Wins
Published 7 September 2026 · Source dated 20 May 2025
Material Design's token-based colour, type and spacing architecture lets one system scale across very different brand 'expressions' while staying structurally consistent. It's one of the clearest public examples of design-systems thinking done at scale.
Material Design's token-based colour, type and spacing architecture — where relationships are defined once and every screen inherits them — is one of the clearest public examples of systems thinking done at scale, spanning wildly different brand 'expressions' without breaking structure. It's a useful reference even if your team runs Figma variables or Penpot's token support instead of Material components directly: the underlying principle is identical. If you're building or maintaining a design system as a junior, Material's public documentation is one of the few places you can study a mature, at-scale token architecture for free, rather than reverse-engineering one from a half-documented internal library. Worth a slow read even outside the Google ecosystem.
Coach
pick one component in your current file and trace every value back to a token — flag anything still hardcoded.
Google's Material Design 3 popularised dynamic, token-based theming back in 2021, and it's still what most design-system setups get measured against. If you're building variables in Figma or tokens in Penpot, M3's structure is worth studying, not because it's new, but because it's proven.
open Material 3's token docs and compare their primitive-vs-role token split against your own Figma or Penpot library — note one gap you could fix this week.
Creative Market's 2026 trend forecast flags 'Glasscore' — blur, glow and translucent layers — as a rising visual style. For teams running token-based design systems, that means more theming flexibility, not just flat colour tokens.
Open your team's (or a starter) design system file and check whether blur/elevation tokens exist — if not, sketch one variant using Figma or Penpot's effect styles.
Some teams are wiring AI coding assistants into their design token workflow, using rules and MCP connections to keep components consistent. It's promising but still fragile in practice.
pick one component in your (or a practice) design system and check whether its tokens are named consistently enough that an AI tool could use them without guessing.
