AI Commons
The AI commons names the shared resource base from which the AI industry was constructed: decades of publicly funded research, open-source code repositories, the creative commons scraped for training data, the collective intellectual labor of millions of writers, coders, artists, and scholars. The models that generate AI capability were built on this commons. The value extracted from the commons has flowed, disproportionately, to private firms.
In The You On AI Field Guide
Recognizing AI as commons-based is itself a conceptual intervention. The conventional framing positions AI as the product of corporate innovation — something built by Anthropic, OpenAI, Google, Meta. The commons framing positions AI as the product of collective human effort — something Anthropic and its peers harvested, processed, and monetized. Both framings are partially true. The commons framing makes visible the labor and knowledge inputs that the corporate framing erases.
Elinor Ostrom's work on commons governance, recognized with the 2009 Nobel in economics, demonstrated that commons can be sustainably