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The article argues that rigid folder hierarchies no longer match how people or AI find information. It shows users forage for clues and AI retrieves by meaning, not location, and recommends multiple discovery paths—search, metadata, links and tags—to build a connected knowledge graph.
- Folder hierarchies force single "right" locations for info that actually spans multiple teams/contexts (e.g., a component accessibility decision touching design, engineering, content, support)
- AI retrieval tools already surface content by meaning/keywords rather than folder path, proving folders organize storage, not knowledge
- People actually find info by foraging—searching, skimming a couple nav levels, then asking a colleague—not by drilling through directory trees
- The fix is layering multiple discovery paths (search, tags, metadata, cross-links) to build a connected knowledge graph, mirroring tools like Obsidian's graph view and accessibility's "never rely on one cue" principle