The history of humanity has been marked by technological revolutions that, while promising global prosperity, often ended up widening existing inequalities. Today, in May 2026, Artificial Intelligence (AI) stands at the center of a similar dynamic. While advanced economies experience a productivity boom, the Global South faces a new form of marginalization. Recent reports highlight that the gap between rich and poor nations is no longer just economic, but deeply structural and technological.
The Concentration of Compute and 'Data Colonialism'
The development of AI requires three key resources: massive computing power (compute), access to high-quality data, and specialized human capital. Currently, compute power is concentrated almost exclusively in the US and China, with Europe struggling to keep pace. Developing nations, lacking basic infrastructure such as stable electricity and high-speed broadband, are unable to train their own foundational models.
This leads to what many analysts call 'data colonialism.' Big Tech companies mine data from users worldwide, but the benefits of processing that data return only to the headquarters of multinational giants. Poorer countries end up as mere consumers of technologies that were not designed for their needs, their languages, or their cultural contexts.
The Threat to Labor Markets in the Developing World
In wealthy nations, AI is used to automate cognitive labor and drive innovation. In developing countries, however, the comparative advantage of cheap labor is evaporating. Automation in manufacturing and services (such as call centers) threatens millions of jobs in Asia and Africa, without the social safety nets or retraining programs available in the West.
- Disappearance of traditional outsourcing sectors due to AI agents.
- Inability of local businesses to compete with AI-driven multinationals.
- Brain drain as top scientists migrate to foreign technological hubs.
The Need for a New Global Digital Order
To prevent the complete isolation of poorer nations, a radical shift in global technology governance is required. Access to AI must be considered a global public good. This means investing in local data centers, supporting open-source models that can be adapted to local languages, and, above all, a fairer distribution of the productivity gains offered by AI.
"If Artificial Intelligence remains the privilege of the few, global instability will increase. Technology is not neutral; it reflects the priorities of those who own it."
In conclusion, the AI divide is not an inevitable natural disaster but a political choice. The international community must decide whether AI will be the tool to bridge inequalities or the wedge that makes them irreconcilable. Time is of the essence, as the pace of evolution in Silicon Valley far outstrips the speed of diplomacy in Brussels or New York.
