Language Understanding and Pragmatics Psychology and Social Cognition Design & LLM Interaction

Is AI returning knowledge to flow-based economies?

Exploring whether AI's on-demand generation mirrors the flow-based knowledge transmission of oral cultures, and how this differs structurally from both print commodification and gift economies.

Note · 2026-04-14
What do language models actually know? What happens to social order when AI removes ritual constraints?

For most of human history, knowledge economies were flow-based. Oral cultures transmitted knowledge through living performance — the song sung again, the story retold, the apprentice taught by demonstration. Gift economies (Mauss) circulated objects whose value lived in the circulation, not the possession. Knowledge was something that moved, and it had to keep moving to remain knowledge.

Print culture inverted this. Knowledge became stock — fixed in books, archived in libraries, owned as property, accumulated as wealth. The artifact replaced the performance as the unit of analysis. Possession became the relevant relation. Capitalist commodity logic absorbed the print form: knowledge as object, knowledge as commodity, knowledge as scarcity to be priced.

AI returns knowledge to flow-based logic. Outputs are generated on demand, consumed in the moment, regenerable rather than possessable. There is no knowledge-stock to be accumulated — the model is not a library but a generator, and what comes out of it is a token in circulation, not an object in storage. Does AI actually commodify expertise or tokenize it? is the structural reframe; the periodization claim here is the historical complement.

What does not return is the embodiment that flow-based knowledge economies depended on. Oral knowledge flowed through speakers; gift knowledge flowed through givers. The flow had carriers. AI knowledge flows through the model, which is not a carrier in the same sense — it has no embodiment, no continuity of relationship with the receiver, no presence that could anchor the flow. So AI flows are flows-without-flow-carriers, which is a structurally novel position.

This explains why intuitions calibrated to print fail (knowledge is not being commoditized in the way books were) and why gift-economy intuitions also fail (Why doesn't AI output carry the spirit of a giver?). The flow form is recognizable; the embodiment that would normally accompany it is missing. The result is a third category — flow without carrier — that neither prior period prepared us for.


Source: Tokenization of Intelligence - Theoretical Extensions

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Original note title

AI represents a return to flow-based knowledge economies after print culture shifted to stock economies