The Congo Digs the Cobalt That Powers the AI Boom

The Democratic Republic of Congo occupies a position in the artificial intelligence economy that is entirely physical: it supplies the majority of the world's cobalt, a critical input to the batteries and electronics the industry depends on.

The mineral position:

The DRC produces the large majority of global cobalt, alongside significant copper output. Both are essential to electrification and to the data centre build-out, which requires enormous quantities of copper for power distribution and batteries for backup and grid support.

Industrial mining operations, many foreign-owned, apply the standard suite of mining machine learning: geological modelling, equipment maintenance prediction, process optimisation and fleet management.

Artisanal mining, conducted by individuals and small groups outside formal operations, accounts for a meaningful share of production and is where the sector's most serious human rights problems concentrate, including child labour and dangerous conditions. These have been documented extensively and have generated litigation and regulatory attention in consumer markets.

AI as supply chain policing:

The most distinctive AI application connected to the DRC is not deployed there but about it. Downstream companies face legal and reputational requirements to demonstrate their minerals are not linked to child labour or conflict financing.

That has driven investment in traceability systems, satellite monitoring of mining sites, and analysis of trade and shipping data to detect laundering of minerals through neighbouring countries. Machine learning applied to satellite imagery can identify new mining activity, track site expansion and flag operations in protected areas.

The effectiveness of these systems is genuinely contested. Traceability schemes have been criticised as producing paperwork rather than verified provenance, and satellite monitoring identifies activity without establishing labour conditions.

Domestic technology:

The DRC's own technology sector is very small relative to a population exceeding 100 million. Connectivity is limited, with internet penetration low and access expensive, and electricity access is among the world's lowest, with the majority of the population lacking grid connection.

Mobile money has grown and provides the foundation for financial services where connectivity permits.

The country has enormous hydropower potential, particularly at the Congo River, and proposals for very large generation projects have circulated for decades without realisation. If developed, that capacity would transform both domestic development prospects and the region's ability to host energy-intensive industry.

Applications with local relevance include agricultural advisory, disease surveillance, the country has substantial experience with epidemic response, and logistics across a vast territory with minimal road infrastructure.

Constraints:

Conflict in the east has persisted for decades, displacing millions and making large areas ungovernable. This is the dominant constraint on all development.

Infrastructure is minimal across most of the country, including roads, electricity and connectivity.

Governance and institutional capacity are severely limited, and corruption is a documented and persistent problem.

Technical education produces few graduates relative to population, and emigration removes many of them.

The outlook:

The DRC's connection to artificial intelligence is as a supplier of physical inputs, and the value captured domestically from that role is a longstanding subject of contention.

The most consequential question for its people is not AI adoption but whether resource revenues, electricity potential and eventual stability produce broad development. Until then, the country's relationship to the AI economy remains extractive.