The new colonial frontier isn’t restricted to mineral-rich Congo or oil-drenched Venezuela. It’s digital, invisible, and everywhere.

From the shantytowns of Nairobi to the barrios of Manila, smartphones hum with the raw material of the 21st century: data, all sorts of data. And just like spices and slaves once sailed westward in imperial galleons, metadata now travels quietly to the cloud servers of Palo Alto and Shenzhen. This isn’t development, it is digital extraction. Welcome to the age of AI colonialism.

Big Tech firms from the US, and to a lesser extent China, have turned the Global South into a massive open-pit mine for behavioral data. Under the pretense of “AI for Development,” they build infrastructure, donate connectivity, and sponsor pilot programs but the returns flow in only one direction. Voice samples collected in Ghana become training fodder for Western voice assistants. Facial data gathered in Nigerian policing trials end up fine-tuning surveillance software in San Francisco, where western models have had protracted problems in identifying and tracking darker-skinned individuals. Agricultural data scraped from Filipino farmers help power predictive analytics for agribusiness conglomerates that will hardly benefit the Philippines.

This is not a partnership. This is colonial pillage dressed in TED Talk lingo.

AI is marketed as a miracle equalizer that will help developing nations leapfrog into the future. We were told AI would bring precision agriculture, predictive healthcare, and smart urbanism, among numerous other utopian transformations, to even the most under-resourced regions. These Davos fantasies were regurgitated for nearly two decades. But where is the proof, the showcase project or evidence that even a fraction of those promises was delivered?

The only real revolution happening is the outflow of data that were supposed to power these breakthroughs. Big Tech servers abroad now function like the colonial warehouses and banks of yore. Nor are intellectual properties of individuals and SMEs in the Developing World safe from this new brand of predation. Models, patents, ideas, and profits quietly migrate north while the Global South is left with nothing but pilot programs and PowerPoint decks.

Worse still, these tools are increasingly used against the very populations providing the raw material, or should I say, raw data. In Kenya, facial recognition technology was introduced as a policing tool under the guise of modernization. In practice, it has disproportionately targeted

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