AI models are not built from nowhere; they are trained on the accumulated scientific, engineering, mathematical, software, and educational commons produced by people around the world for centuries. When global knowledge, open-source code, public research, and collective human labor become the input, democratic access must be part of the output.
The asymmetry is clear: global contribution, private ownership, state-centered governance, and restricted access. This is not only a technical issue; it is a political-economy question about who gets to appropriate public knowledge and decide who may benefit from it.