LONDON (United Kingdom): Indigenous peoples, already engaged in long-standing struggles to protect their lands, resources and ways of life, are now confronting two emerging battle fronts in the modern economy – data colonialism and infrastructure justice – as the expansion of artificial intelligence and digital infrastructure reshapes where and how development takes place. Indigenous leaders say this is not new in pattern, but new in form.
Across several regions in the world, large-scale technology projects such as hyper-scale data centers, energy corridors and cloud infrastructure hubs are increasingly being planned in rural and resource-rich areas, including Indigenous territories. While often promoted as drivers of investment and modernization, these projects are drawing scrutiny from Indigenous leaders who say they frequently proceed without meaningful consultation, adequate environmental safeguards, or equitable benefit-sharing.
In parallel, a growing number of Indigenous scholars and advocates are warning of data colonialism (also called AI colonialism), which is the extraction and use of Indigenous knowledge, cultural materials and even language data in artificial intelligence systems without consent or governance by the communities involved. This includes the use of Indigenous languages in large AI training datasets, the digitization of cultural archives by external institutions, and the incorporation of traditional ecological knowledge into commercial systems without clear governance frameworks. Unlike earlier forms of resource extraction focused on land and raw materials, this new phase is centered on information, raising questions about ownership, consent and control in the digital age. Critics argue that the resource being extracted has changed from minerals and timber to data and computation, but the underlying logic of extraction remains familiar.
At the same time, the physical infrastructure powering AI systems is becoming a flashpoint for environmental and social tensions. Data centers require vast amounts of electricity and water, and their placement often concentrates environmental burdens in specific regions. Indigenous communities argue that this dynamic mirrors historical patterns of external extraction, where costs are localized while benefits are distributed elsewhere.
Taken together, these developments are reframing sovereignty debates in the 21st century. The issue is no longer limited to land rights or natural resources alone, but increasingly extends to digital systems, computational infrastructure, and the data ecosystems built upon them.
As a result, Indigenous movements are beginning to link environmental protection with digital rights, arguing that meaningful sovereignty now requires control over both physical territory and the technological systems that increasingly depend on it.
In March 2026, the Seminole Nation of Oklahoma became one of the most visible examples of resistance when its tribal council unanimously passed a moratorium blocking data center development on its territory. Tribal leaders cited concerns over water usage, environmental stress, and a lack of transparency in early-stage negotiations with tech developers. The decision effectively halted any current or future proposals, signaling a rare preemptive assertion of sovereignty over digital infrastructure.
At the same time, the physical expansion of AI infrastructure is raising concerns about environmental and economic justice. Data centers are among the most resource-intensive facilities in the digital economy, consuming large amounts of electricity and water. Communities near these projects often face long-term environmental burdens, while receiving limited local benefits beyond short-term construction jobs.
This convergence has led Indigenous activists and scholars to frame a unified struggle: infrastructure justice and digital sovereignty are now inseparable. Control over land, they argue, cannot be separated from control over data systems built upon it.
For Indigenous communities, the message is increasingly direct: without infrastructure justice and protections against AI colonialism, the digital economy risks reproducing older colonial patterns in a faster, more invisible form.
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