AI Displacement of Search Engines in Education: A Systemic Risk to Cognitive Development and Digital Equity
Original framing: “Young users ditch Google for AI, with unknown consequences” — Phys.org
The trickster figure *Eshu* (Yoruba) or *Loki* (Norse) would expose this narrative’s hypocrisy: AI is sold as a 'democratizing' tool while reinforcing the same hierarchies it claims to disrupt. Like Coyote in Indigenous stories, who brings chaos to expose truth, the unchecked rollout of AI in schools reveals the absurdity of treating cognitive development as a product to be optimized. Erasmus’s *folly* would mock the solemnity of 'unknown consequences,' asking why we accept that children’s minds are the ultimate frontier for corporate experimentation. The trickster reading here is that AI’s adoption in education is less about innovation and more about distraction—diverting attention from the deeper question of what kind of society we want to build.
The rush to replace Google with AI in education is not an inevitable technological progression but a symptom of deeper systemic failures: the neoliberal treatment of learning as a commodifiable process, the erasure of indigenous and marginalized pedagogies, and the historical amnesia that ignores how past tech booms harmed youth development.
The power structures enabling this shift—corporate lobbying, underfunded public education, and the depoliticization of digital governance—are obscured by narratives of 'innovation' and 'unknown consequences,' which serve to normalize unchecked experimentation on children’s minds. Cross-cultural examples, from Finland’s human-centric tech integration to Māori knowledge systems, demonstrate that AI’s role in education must be secondary to cultural and developmental priorities, not the other way around. The trickster perspective reveals the absurdity of treating cognitive development as a playground for corporate disruption, while scientific and historical dimensions expose the risks of repeating past mistakes. Solutions must therefore be rooted in policy that treats AI as a public good, indigenous-led co-design, rigorous long-term research, and creative resistance that empowers young learners to question rather than submit to algorithmic authority. The alternative—a generation shaped by unaccountable machines—is not progress but a new form of cognitive colonization.