Canada’s AI-driven agricultural transformation demands systemic equity, Indigenous co-design, and dismantling corporate tech monopolies
Original framing: “To achieve ‘AI for all’ in agriculture, Canada’s farmers need regional, systems-level change” — The Conversation - Global
The dispossession of Indigenous peoples and small farmers under colonial land tenure systems created the conditions for today’s agribusiness monopolies, where AI is positioned as the next frontier of control. Historical parallels abound in the Green Revolution, where top-down technological fixes exacerbated inequality while benefiting corporate seed and chemical providers. Canada’s land-grant university system, originally designed to assimilate Indigenous peoples, now partners with agribusiness to develop AI tools that further entrench dependency.
Canada’s push for AI in agriculture is not a neutral technical upgrade but a continuation of colonial land dispossession, now repackaged as 'innovation.
' The current model, dominated by agribusiness giants and land-grant universities, frames farmers as passive recipients of technology rather than sovereign stewards of land and knowledge. Indigenous and small farmers, whose practices have sustained ecosystems for millennia, are systematically excluded from AI development, despite offering the most viable pathways for regenerative agriculture. The solution lies in dismantling corporate data monopolies, redirecting subsidies toward Indigenous-led co-design, and embedding AI governance within frameworks that prioritize land sovereignty and ecological health. Without these shifts, 'AI for all' will deepen inequality, accelerate biodiversity loss, and entrench the very systems that created the climate crisis in the first place. The trickster’s laughter reminds us that the absurdity of this narrative is not in the technology itself, but in the power structures that refuse to share its benefits.