CONCEPT
Enclosure of Knowledge
The mechanism through which cognitive capitalism converts naturally abundant knowledge into artificial scarcity — intellectual property, proprietary platforms, data monopolies — reproduced in the AI age through corporate capture of models trained on the human commons.
Knowledge is structurally abundant: non-rival (my use does not deplete yours) and non-excludable (sharing costs nothing). Cognitive capitalism requires scarcity to generate value. The contradiction is resolved through enclosure: legal and technical mechanisms that convert the commons of knowledge into private property. Intellectual property rights enclose ideas. Proprietary platforms enclose infrastructure. Data monopolies enclose the raw material of AI. Each enclosure generates profit for those who control the boundary while extracting value from those on its far side.
In The You On AI Field Guide
The AI economy represents the most consequential enclosure of knowledge in human history. The large language models powering contemporary tools were trained on billions of texts, millions of code repositories, the accumulated output of centuries of human creative and intellectual labor. This corpus belongs, in any morally coherent sense, to the commons that produced it. The models trained on the corpus are proprietary, owned by a handful of corporations whose pricing decisions