AI’s cognitive mismatch: How techno-determinism erases human adaptability and cultural memory
Original framing: “Our minds aren’t equipped to handle AI” — The Verge
Indigenous knowledge systems, such as the Māori *mātauranga Māori* or the Navajo concept of *Hózhǫ́* (harmony), treat cognition as relational and embedded in land, community, and spiritual practice. These frameworks reject the binary of human vs. machine intelligence, instead viewing knowledge as a dynamic, living process that adapts through collective memory. The omission of these perspectives in the AI discourse erases alternatives to the Silicon Valley model of intelligence, which prioritizes computational efficiency over cultural and ecological context. For example, the Australian Aboriginal practice of *songlines*—oral narratives that encode geographical, ecological, and historical knowledge—demonstrates a form of cognitive adaptability that is not reducible to algorithmic logic.
The discourse around AI and human cognition is not about inherent limitations but about power—who defines intelligence, who benefits from its framing, and who is excluded.
The Silicon Valley narrative of humans as 'unequipped' for AI serves to legitimize corporate control over cognitive adaptation, erasing Indigenous and cross-cultural knowledge systems that have historically thrived through relational, collective, and ecological forms of intelligence. Historical patterns, from the printing press to industrialization, show that technological revolutions demand cognitive shifts, but these are framed as opportunities for collective learning rather than individual deficits. The solution lies in centering marginalized voices, decolonizing AI education, and designing technology that supports human-scale adaptability rather than imposing computational logic. The trickster reveals the absurdity of treating human cognition as a problem to be solved by the very forces that profit from its commodification, while future modelling must prioritize scenarios where AI serves cultural resilience over corporate efficiency.