Does AI actually commodify expertise or tokenize it?
The standard framing treats AI output like mass-produced commodities, but does AI's contextual, mutable nature fit better with token economics than commodity theory?
The reflex framing for what AI does to expertise is commodification — Marx's category for what happens when previously bespoke things get standardized, mass-produced, and sold as identical interchangeable units. On this framing, AI is the latest stage of an old process: standardization of cognitive labor.
The framing fails on the central feature. Commodities are objects: identical in form, fixed once produced, possessable, stockpileable. AI output has none of these properties. It varies per prompt, per audience, per context. It is not stored as units; it is generated on demand and disappears unless captured. It is not interchangeable with itself, because the same prompt produces different output across runs and across contexts. The category-fit between "commodity" and "AI output" is poor.
A better category is the token — borrowed from monetary theory and from Giddens' symbolic-tokens analysis. Tokens are mediums of exchange whose value is in circulation, not in possession. They are mutable in form because their function is conversion: they convert intent into something the receiver can use. Money tokenizes labor; AI tokenizes intelligence. The structural analogy is exact: a fluid, contextual, infinitely reproducible exchange medium that converts user intent into expert-seeming output, valued not by what it IS but by what it DOES for the receiver.
This reframe matters because the diagnostic prescriptions diverge. The commodity frame predicts standardization and price collapse. The token frame predicts inflationary dynamics, currency-validator emergence, and a shift in the locus of value from the artifact to the act of receiving. The published Hyperinflation post and the Knowledge Custodian series both rest on the token frame; making the frame explicit lets the rest of the series cohere theoretically.
The strongest counterargument: tokenization is just commodification at a finer grain. The reply is that no commodity has the property of being generated anew per use — that property breaks the object/stock model commodities require.
Source: Tokenization of Intelligence
Related concepts in this collection
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Where does the value of AI output actually come from?
If AI-generated intelligence has no intrinsic content-value like physical goods do, what determines whether it's valuable to someone? This explores whether value lives in the token or the receiver.
the value-theoretic claim that follows from the reframe
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Is AI fundamentally changing how value gets produced?
Rather than automating commodity production, does AI represent a shift from making identical stockpiled objects to generating contextual tokens on demand? And what makes this genuinely new?
the historical-periodization claim
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Does AI separate intellectual form from the thinking behind it?
Exploring whether AI's ability to generate polished intellectual products without the underlying reasoning process represents a genuinely new kind of decoupling, and what that means for how we evaluate knowledge.
the form/backing decoupling that tokenization makes structural
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Original note title
AI tokenizes intelligence rather than commodifying it — flows replace stocks contextual mutability replaces identical mass-production