Cognitive load theory — the limits of working memory in instruction — is the theoretical lens for much wiki work on AI scaffolding: concept-catalyst-engineering-scaffolds, rethinking-scaffolding-llm-tutors, and cognitive-offloading show AI can either reduce extraneous load or bypass the germane load that produces learning.