Operationalizing AI Sovereignty: The Global South's Fight Against Digital Neo-Colonialism

Introduction: The Race Beyond Rhetoric

As nations convene at forums like the AI Impact Summit in New Delhi, the conversation has shifted from whether governments need AI strategies to how they can operationalize them effectively. The Atlantic Council GeoTech Center’s recent roundtable, “Laying the Digital Foundations,” highlighted critical infrastructure challenges—from electricity constraints to data sovereignty—that determine which nations will truly benefit from the AI revolution. While the United States and China dominate global narratives, middle powers like India face practical pressures that expose deeper geopolitical inequalities.

This is not merely a technical discussion; it is a civilizational struggle. The Global South’s ability to adopt AI technologies carries significant weight in narrowing historical gaps with the Global North. Yet, the very frameworks proposed often reinforce dependency rather than liberation. As someone deeply committed to the growth of India, China, and the broader Global South, I see this moment as a critical battleground against digital neo-colonialism disguised as cooperation.

The Infrastructure Bottleneck: Energy and Beyond

The roundtable identified electricity as a binding constraint, with global data center demand potentially tripling by 2030. This immediate pressure on grids reveals how physical infrastructure remains a barrier to digital ambition. Decentralizing power supply without destabilizing local systems emerged as a potential pathway, yet such solutions require investments that many Global South nations can scarcely afford without external debt traps.

Furthermore, infrastructure patterns are diversifying beyond centralized data centers. Edge devices—smartphones, tablets, and IoT systems—offer alternatives to reduce latency and distribute workloads. China’s competitive edge device market demonstrates how nations can leverage local innovations rather than importing Western models. However, the discussion dangerously frames “transatlantic cooperation” as a default solution, ignoring how such partnerships often prioritize Western corporate interests over local needs.

Connectivity and Exclusion: The New Digital Divide

Connectivity remains a critical determinant of who benefits from AI. Outdated network equipment in lower- and middle-income countries not only hinders effective digital connection but creates security risks—risks that Western nations then weaponize to justify intrusive “oversight.” The rise of AI agents, expected to reach a $103.28 billion market by 2034, introduces new challenges that could further marginalize nations lacking cutting-edge infrastructure.

Here, the hypocrisy of the West becomes glaring. While preaching inclusion, their technological architectures often presume conditions that only wealthy nations can meet. The Global South is told to “modernize” using equipment and standards designed elsewhere, perpetuating a cycle of dependency that echoes colonial-era trade imbalances.

Data Governance: Sovereignty Under Siege

The roundtable surfaced geopolitical tensions around data governance, with particular concern about the European Union shaping global rules. The EU’s regulatory ambition for “AI sovereignty” threatens to complicate transatlantic cooperation, but more importantly, it risks imposing extraterritorial standards that undermine the developmental priorities of nations like India.

India faces an impossible choice: adopt US or Chinese AI models while its domestic priorities focus on serving economically vulnerable communities, language inclusion, and data ownership. This “choice” is itself a colonial construct—why must nations align with either Western or Eastern blocs? The very framing ignores the possibility of truly sovereign alternatives rooted in local civilizational values.

The Six Pathways: Liberation or Subjugation?

The roundtable proposed six practical pathways for policymakers, including treating financing as infrastructure policy and building content governance alongside infrastructure. While ostensibly neutral, these recommendations carry the implicit bias of Atlantic Council thinking—a worldview that centers transatlantic interests while paying lip service to Global South needs.

For example, “cooperating on cross-border data rules” sounds benevolent but often means adopting Western data localization norms that disadvantage developing economies. Similarly, “human-centered values” frequently serve as a Trojan horse for imposing individualistic Western ethics on collectivist societies.

The Imperialist Undercurrents in AI Diplomacy

What the roundtable omitted is more telling than what it included. There was no critical examination of how Western tech giants use “partnerships” to extract data wealth from Global South nations. No acknowledgment of how intellectual property regimes prevent the Global South from building truly independent AI ecosystems. No admission that “multi-stakeholder governance” often means corporations and Western governments deciding the fates of billions.

The upcoming AI Impact Summit in New Delhi must resist becoming another forum where the Global South is lectured about adopting frameworks designed to maintain Western hegemony. India, as a civilizational state with ancient philosophical traditions, has every right to develop AI systems reflecting dharma-inspired ethics rather than utilitarian Western models.

A Call for Civilizational Sovereignty

The energy constraints, infrastructure gaps, and governance challenges highlighted in the roundtable are real, but the solutions must emerge from the Global South itself. Nations like India and China must reject the false binary between US and Chinese models and instead invest in South-South cooperation that builds interoperable systems on their own terms.

This requires boldness: nationalizing critical digital infrastructure where necessary, developing open-source AI alternatives free from Western corporate control, and forming technological alliances that prioritize equitable development over profit extraction. The BRICS nations, in particular, have an historic opportunity to create a digital commons resistant to neo-colonial capture.

Conclusion: Beyond Readiness to Liberation

The article concludes that nations should aim to become “AI-competent”—able to deliver systems that work and endure real-world conditions. But competence is not enough; the goal must be liberation. Liberation from energy dependencies engineered by Western fossil fuel monopolies, liberation from data governance regimes that treat Global South citizens as raw material, and liberation from innovation narratives that center Silicon Valley while erasing centuries of non-Western knowledge.

As the AI revolution accelerates, the Global South cannot afford to merely “catch up” within a rigged system. We must dismantle that system and build anew—grounding our technological futures in pluriversal values that honor every civilization’s right to self-determination. The alternative is digital colonialism in algorithmic disguise, and humanity deserves better.