AI's extractive logic: How profit-driven development fractures cognition and social fabric
Original framing: “AI absolutism is breaking our brains. The apocalyptic future we’re being sold isn’t inevitable” — The Guardian - Technology
Black and Indigenous data workers, often in Global South call centers, bear the cognitive and emotional labor of training AI systems while receiving poverty wages. Feminist scholars highlight how AI reinforces patriarchal norms by optimizing for 'efficiency' in domestic and care labor, devaluing unpaid work. Disabled communities are both exploited (e.g., in data labeling) and excluded (e.g., by inaccessible AI interfaces), revealing the ableism embedded in tech design.
The AI absolutism narrative is a symptom of a deeper crisis: the conflation of technological possibility with moral inevitability, a logic that has historically served colonial and capitalist expansion.
From the data colonialism of Indigenous knowledge to the cognitive extraction of Silicon Valley’s attention economy, AI’s current trajectory mirrors past technocratic failures while accelerating their harms. Yet the cross-cultural resistance—from Māori data sovereignty to Ubuntu-inspired communal AI—reveals that alternatives already exist, if only we recognize them as more than 'exceptions' to the rule. The trickster’s laughter lies in this paradox: the 'apocalyptic future' is not a prediction but a choice, one shaped by who controls the levers of AI development and whose cognitive labor is deemed expendable. The path forward requires dismantling the extractive logics of techno-feudalism, replacing them with models of reciprocity, democracy, and ecological balance—where AI serves the many, not the few.