Novels. Paintings. Research papers. Social media posts. Human cognitive work, accumulated across centuries, now exists as extractable raw material.

These outputs are cognitive artifacts: the residue of thought, stored and staged for reuse. They sit in massive data warehouses. Waiting. Not for preservation but for processing.

Artificial intelligence is not a neutral instrument. It is a corporate infrastructure assembled from geological extraction, water consumption, human labor, and collected knowledge.

These systems do not think. They automate the warehouse. They redistribute dead cognitive labor at speeds no democratic institution can match. Not through original intelligence. Through the industrialization of what humans already produced.

When AI consolidates cognitive labor, it necessarily selects. It prioritizes what is predictable and efficient while sidelining what is not. Homogeneity scales. Diversity does not.

Machine-speed decision-making outpaces the human capacity for deliberation or debate. This asymmetry, what I call data temporalities, means that corporate AI operates in a faster time-register than democratic governance can occupy.

If AI moves faster than societies can meaningfully respond, the problem exceeds governance. It becomes a question of sovereignty. Of ownership.

Who benefits from cognitive work that AI performs?

Who bears the material costs of the means of cognition?

Who collects the profits?

 

 

Research Nexus: Political Economy of AI · Dead Cognitive Labor · AI Infrastructure · Critical AI Studies · Data Temporalities