As we navigate the second half of 2026, the promise of Artificial Intelligence (AI) to solve global challenges—from climate change to medical diagnostics—is being overshadowed by a grim reality highlighted by the United Nations. In a comprehensive report recently released, the UN warns that AI, instead of acting as the great equalizer, threatens to entrench and widen existing global inequalities, creating a new class of "digitally dispossessed" in the Global South.
The Compute Divide
The first and most visible layer of inequality lies in infrastructure. Training Large Language Models (LLMs) requires vast amounts of computing power (GPUs) and energy, resources concentrated almost exclusively in a few countries of the Global North and a handful of tech giants. The UN points out that many developing nations still lack the basic electrical infrastructure to support such systems, let alone the capacity to develop their own sovereign AI.
This concentration of power creates a dependency reminiscent of older eras of economic dominance. Countries without the technology are forced to "import" intelligence, paying high subscription fees to foreign firms while simultaneously exporting their data—the raw material of the new economy—with no guarantees for protection or utilization for the benefit of local communities.
Digital Colonialism and Cultural Erosion
A particularly concerning aspect of the report involves cultural and linguistic homogenization. Current AI models are primarily trained on data from the English-speaking West, embedding its values, biases, and worldview. When these systems are applied in countries with different traditions and languages, they often fail to understand the local context or, worse, impose foreign standards.
- The marginalization of local dialects and languages that are not "economically viable" for inclusion in models.
- The imposition of Western ethical criteria on societies with different social structures.
- The extraction of intellectual wealth from developing countries to train models that are then sold back to them.
The UN speaks of a risk of "algorithmic colonialism," where knowledge and decision-making are concentrated in power centers far removed from the people affected by them.
The Threat to the Labor Market
While in the West the AI debate focuses on productivity gains, for developing economies the threat is more immediate. Many of these countries rely on low-cost service provision, such as business process outsourcing (BPO) and data labeling. These are precisely the jobs first in line for automation.
"Unless there is a coordinated international effort for technology transfer and fair benefit-sharing, AI could eliminate millions of jobs in the Global South without providing alternatives," the report states.
The lack of social safety nets in these regions means that the transition to the AI era could lead to social instability and increased migration flows toward technologically advanced nations.
Toward Global AI Governance
The solution proposed by the UN is not the restriction of technology, but the radical restructuring of its governance. It proposes the creation of an international body—modeled after the International Atomic Energy Agency (IAEA)—to ensure that AI is developed as a global public good.
This includes creating open datasets for underrepresented languages, funding computing infrastructure in developing regions, and enforcing transparency rules on multinational tech corporations. The challenge for 2026 and beyond is to transform AI from a tool of dominance into a bridge for cooperation. Without such a shift, the "intelligence" of machines will simply be a reflection of the old, unjust structures of our world.
