Technological Sovereignty

In the AI Story

The concept emerged from the recognition that political independence without technological self-determination is incomplete. Post-colonial nations that achieved formal sovereignty in the twentieth century remained dependent on technologies—telecommunications, computing, digital platforms—designed and controlled by former colonial powers and their corporate successors. This dependency reproduced colonial patterns: communities shaped by technologies they did not build, governed by terms they did not set, serving priorities they did not determine. Latin American social movements, particularly in Bolivia and Ecuador, developed technological sovereignty as a framework for reclaiming control—building local technological capacity, establishing national and community governance over digital infrastructure, and resisting the imposition of foreign technology on terms that served external interests.

Indigenous communities worldwide have articulated technological sovereignty as essential to cultural survival. Languages that lack digital infrastructure face erosion as younger generations migrate to dominant languages that technology supports. Knowledge systems that resist digitization are displaced by the databases, AI systems, and search engines that cannot represent them. Governance traditions that operate through oral deliberation and communal consensus are overridden by digital platforms requiring individual accounts and terms of service. For indigenous communities, technological sovereignty is not an economic preference but an existential requirement: the capacity to build technology that serves indigenous priorities, respects indigenous protocols, and supports indigenous self-determination.

Srinivasan's documentation of the Oaxacan networks revealed the material conditions technological sovereignty requires. Communities needed affordable equipment—Rhizomatica sourced hardware at community scale rather than commercial scale. They needed open-source software—OpenBTS, Asterisk, and related tools provided the technical foundation without vendor lock-in. They needed spectrum access—Rhizomatica's regulatory advocacy secured experimental authorizations that legitimated community operation. They needed training—local technicians learned to install, maintain, and troubleshoot the systems. And they needed governance capacity—which the communities already possessed through traditional assemblies. The combination of appropriate technology, legal authorization, technical training, and pre-existing governance produced functioning infrastructure under community control.

Applied to AI, technological sovereignty would mean that communities could build, train, and deploy AI systems that serve their priorities. This requires open models that communities can modify, computational infrastructure communities can access without dependency on corporate cloud providers, training methodologies that communities can apply to their own data, and governance frameworks that give communities authority over how AI is used in their contexts. Current AI development concentrates all these elements—models, infrastructure, training data, governance—in a handful of corporations. The concentration makes community sovereignty structurally difficult: communities can use the tools the corporations provide but cannot meaningfully determine what those tools do or how they function. Technological sovereignty requires decentralization that the current AI industry's economic and technical architecture actively resists.

Origin

Technological sovereignty emerged as an explicit framework in Latin American social movements in the 2000s-2010s, articulated in the 2014 Pact for Technological Sovereignty and the 2016 Barcelona declaration on technology and the commons. Indigenous articulations developed in parallel through frameworks like the UN Declaration on the Rights of Indigenous Peoples (2007) and the development of the CARE Principles. Ramesh Srinivasan synthesized these streams through his fieldwork and collaborations with community organizations. His 2017 Whose Global Village? and 2019 Beyond the Valley provided the most comprehensive English-language scholarly articulation. The concept now circulates in digital rights movements, community technology organizations, and indigenous data sovereignty advocacy globally.

Key Ideas

Sovereignty beyond access. Having access to externally provided technology is not sovereignty—sovereignty is the capacity to build, govern, and modify infrastructure according to community-determined priorities.

Material requirements. Sovereignty requires appropriate technology, open standards, affordable infrastructure, technical knowledge, and favorable regulatory environments—not merely political will but concrete institutional and economic conditions.

Governance as foundation. Communities with strong existing governance traditions can govern new technologies—sovereignty is not built from scratch but adapted from pre-existing communal decision-making capacity.

Resistance to extraction. Technological sovereignty means communities can refuse data extraction, reject platforms that harm community interests, and determine the terms on which technology operates in their contexts.

Pluralism in practice. True sovereignty produces diverse technological implementations reflecting diverse communities—a portfolio of approaches rather than a global monoculture of platforms and standards.