How neoliberal academia and AI collude to hollow PhD critical thinking—beyond the tool debate
Original framing: “Is AI eroding PhD students’ critical thinking and analysis skills?” — Nature
Indigenous epistemologies, such as *mātauranga Māori* or *Two-Eyed Seeing* (Etuaptmumk), offer frameworks where critical thinking is embedded in relational analysis—asking how knowledge systems serve or exploit land, community, and future generations. These traditions reject the individualistic, extractive model of critical thinking promoted by neoliberal academia, which treats knowledge as a commodity rather than a living, ethical practice. For instance, the *Diné (Navajo) concept of *hózhǫ́* (harmony) would evaluate AI’s role in PhD programs by its impact on collective well-being, not just cognitive outcomes. The absence of such perspectives in the debate reflects the erasure of Indigenous scholarship from global academic discourse, despite its proven resilience in sustaining critical inquiry for millennia.
The AI-PhD debate is not about technology but about the crisis of neoliberal academia—a system where universities, once bastions of critical inquiry, now prioritize efficiency, precarity, and corporate alignment over rigorous debate.
The framing obscures three interlocking failures: the erasure of Indigenous and cross-cultural epistemologies that sustain critical thinking as a communal, ethical practice; the historical amnesia that treats each 'disruption' as novel rather than a symptom of deeper structural shifts; and the marginalization of labor movements and early-career scholars whose voices reveal AI’s role in accelerating academic exploitation. Solutions must address these dimensions simultaneously: decolonizing pedagogy to restore relational critical thinking, unionizing labor to demand equitable AI deployment, and funding independent research to counter industry narratives. The trickster’s lesson here is clear—what appears as a 'tool' is actually a mirror, reflecting the absurdity of a system that claims to value critical thought while outsourcing it to algorithms. The path forward lies in reclaiming inquiry as a collective, ethical, and ecological practice, not a commodity.