The history of Africa is a history of extraction. From gold and diamonds to oil and cobalt, the continent has for centuries been the source of raw materials that fueled global growth while remaining trapped in systemic poverty. Today, at the dawn of the Fourth Industrial Revolution, a new form of extraction is taking place: the mining of data and human cognition. Artificial Intelligence (AI), often touted as the ultimate tool for democratization, risks becoming the vehicle for a new, invisible recolonisation.
The Digital Proletariat of Nairobi and Lagos
Behind the "magic" of ChatGPT and the sophisticated models of Google and Meta lies an army of humans working in precarious conditions. In Nairobi, Kenya, and Lagos, Nigeria, thousands of young people spend eight-hour shifts in front of screens, labeling images, correcting text, and teaching algorithms how to distinguish violence from art or hate speech from critique. This process, known as Reinforcement Learning from Human Feedback (RLHF), is the backbone of modern AI.
However, the wages of these workers are meager, often less than two dollars an hour, while the psychological toll of exposure to graphic and traumatic content is immeasurable. Silicon Valley's tech giants outsource this labor to third-party contractors, effectively distancing themselves from responsibility for working conditions. This is a classic colonial structure: intellectual surplus value is produced in the Global South, but the profits and technological control remain concentrated in the Global North.
Data Mining and the Loss of Sovereignty
Colonialism is not just about labor; it is about resources. In the age of AI, the primary resource is data. African populations are being used as test subjects for algorithmic models in environments with weak or non-existent data protection laws. The data generated by the daily activities of African citizens is harvested by foreign platforms, processed in servers located in Europe or the United States, and then "sold back" to the continent as expensive software products.
This data flow mirrors the historical export of raw minerals and the import of finished goods. Africa lacks the necessary infrastructure—such as massive data centers and high-performance computing power—to process its own data locally. Without "digital sovereignty," African states become dependent on the whims of Big Tech, which can dictate policies, influence elections, and shape social realities without any local accountability.
Cultural Imperialism and Algorithmic Bias
Another critical dimension is linguistic and cultural homogenization. Large Language Models (LLMs) are trained predominantly on English-language data, carrying with them Western values, biases, and worldviews. When a student in Ghana or a farmer in Ethiopia uses these tools, they encounter an AI that often ignores local languages, traditions, and historical contexts.
"If AI does not speak our language and does not understand our history, then it is not a tool for progress, but a tool for assimilation,"argue African scholars and activists. Algorithmic bias is not merely a technical glitch; it is a form of cultural imperialism that threatens to marginalize African identity in the digital sphere. The lack of representation in training sets means that AI systems often fail to perform accurately in African contexts, leading to discriminatory outcomes in areas like credit scoring or healthcare.
The Geopolitical Chessboard: US vs. China
Africa has become a primary battlefield for technological supremacy between the United States and China. Through its "Digital Silk Road" initiative, China is financing fiber-optic infrastructure and surveillance systems in many African nations. Conversely, American giants dominate the software and cloud layers. This competition is not driven by African development goals but by the race for future market dominance and strategic data control.
To avoid total digital subjugation, a coordinated pan-African strategy (via the African Union) is essential. Creating local AI ecosystems, investing in specialized education, and establishing strict data protection regulations are the only ways forward. Technology must stop being a mechanism of extraction and start being a mechanism of empowerment. Otherwise, the 21st century will find Africa once again on the losing side of a war fought with code instead of cannons.
