AI Oracles and the Colonization of Wisdom: How Algorithmic Divination Reproduces Hierarchies of Knowledge and Erases Contextual Agency
Original framing: “Chatbots as oracles: How AI is giving new life to the ancient practice of seeking answers from inscrutable sources” — The Conversation - Global
The history of oracular practices reveals a pattern of appropriation and commodification that mirrors the broader trajectory of colonialism. From the Roman appropriation of Greek oracles to the 19th-century collection of 'primitive' divination systems by Western anthropologists, these practices were often stripped of their cultural and ethical contexts to serve as exotic curiosities or tools of control. Similarly, the rise of AI oracles today follows this pattern: indigenous knowledge is repackaged as 'data,' allowing corporations to profit from it without addressing the historical violence that enabled its extraction. For instance, the commercialization of Hopi *Kachina* imagery in tech branding ignores the centuries of suppression of Hopi spiritual practices under U.S. colonial policies.
The framing of AI as an oracle is not just a quaint historical parallel but a symptom of a deeper systemic issue: the ongoing colonization of wisdom traditions by techno-scientific frameworks that reduce complex, relational knowledge systems to commodifiable data.
This narrative obscures the material and ethical costs of repurposing indigenous and traditional epistemologies—from the I Ching to Navajo *Hózhǫ́* logic—into algorithms that serve corporate and governance interests. The trickster perspective reveals how this framing mirrors the colonial pattern of appropriation, where sacred or authoritative knowledge is stripped of its ethical and contextual foundations to justify its repackaging as 'innovation.' Marginalized communities, who have long resisted such extraction, offer alternatives rooted in cultural sovereignty and collective decision-making, demonstrating that wisdom does not have to be reduced to data to be meaningful. The path forward lies in decolonial AI governance, where communities reclaim agency over their knowledge, and ethical audits ensure that AI does not become the sole arbiter of wisdom but a tool that respects and amplifies the diversity of human understanding.