Critics Frame AI Training Data Use as Colonial Theft of Commons

Social media commentators are increasingly characterizing AI training data collection as a continuation of historical colonialism and theft of the commons. A post on Bluesky by user theterminallywell explicitly linked current AI practices to violent land seizure, forced industrialization, and chattel slavery. This rhetoric frames the unauthorized scraping of public data not merely as copyright infringement but as systemic labor exploitation and resource extraction. Such comparisons suggest that critics view AI development through a lens of historical trauma rather than technological innovation. This narrative challenges industry defenses based on fair use or open internet principles by invoking moral equivalencies with past atrocities. The discourse indicates a potential shift in anti-AI activism toward decolonial frameworks that demand structural restitution over regulatory adjustment. No specific AI company was named in the statement, implying a critique of the entire sector's foundational methodology.