In the modern day, Western corporations opt for metadata over muskets to establish global hegemony. Digital colonialism—the practice of Big Tech companies retrieving and controlling user data for their own interests—has emerged as today’s “Scramble for Africa.” Through labor, resources, data, and digital infrastructure, Big Tech exploits the Global South, echoing the colonial systems of the past, and they show no signs of stopping.
Labor Exploitation: Ghost Workers Behind AI
Behind their guise of “machine intelligence,” tech giants need human workers to keep operations running. AI systems heavily rely on people for tasks like data labeling and content moderation. So, where do these giants turn? Wherever they can find cheap labor.
Western companies outsource tasks like data annotation, content moderation, and call center operations to countries in the Global South, capitalizing on lower labor costs while providing little to no support for their workers. According to Al Jazeera, Big Tech’s backbone (its human laborers), including content moderators in India, are exposed to distressing content with minimal psychological support. These workers certainly aren’t being paid enough for therapy, either. Outsourced tech laborers in countries such as Kenya, India, and the Philippines often earn as little as $1.50 per hour under precarious conditions. These workers form the hidden scaffolding propping up the tech empires of Silicon Valley, yet they remain invisible, overworked, and underpaid.
Resource Extraction: Cobalt and the Loss of Connectivity
Cobalt workers in the Congo.
Digital dominance also comes with a raw material cost buried underground in the Global South. AI hardware demands rare minerals like cobalt, nickel, and lithium to function. Thus, to satisfy their products and pockets, tech CEOs turn abroad. Over 70% of the world’s cobalt is mined in the Democratic Republic of Congo, where underaged laborers are frequently forced to suffer under dangerous conditions.
Similar mining operations across the Philippines and Latin America have displaced communities with minimal local benefit. In countries like Chile, Argentina, and Bolivia, miners risk their health for a fraction of what Australian workers earn doing the same jobs. For reference, some Australian workers make up to $200,000 annually, while their Latin American counterparts scrape by on $1,430-$3,000 per month. Once again, the tech industry builds its empire on global inequality.
Environmental Impact: AI’s Hidden Carbon Footprint
Beyond its human cost, machine intelligence also causes environmental degradation. Training large-scale AI models can emit as much carbon as five cars over their entire lifespans. The energy required to store and run these systems normally comes from fossil fuels, especially when data centers are built in the Global South, where energy is cheaper and environmental regulations are looser.
But it’s not just the air that’s being drained—it’s the water too. Data centers that spring up through digital colonialism often consume massive amounts of water for cooling, exacerbating local water scarcity in already-vulnerable regions. In other words, the “cloud” is not weightless; it hangs low in the sky above the Global South, ripe with emissions and ready to rain on communities that had no say in its creation.
Legal & Regulatory Gaps
One may wonder how the above is allowed to go on. Well, the digital terrain is largely lawless. While initiatives like the European Union’s AI Act signal progress, their jurisdiction ends where the most damage begins. Many African, Asian, and Latin American countries lack the legal infrastructure to protect their data, labor, and environments. As a result, data extraction is allowed to proceed unchecked, turning user activity into profit streams for Western firms.
This regulatory void raises urgent questions around privacy, consent, and fair distribution of AI benefits. Members of the Perrin Research Institution recently attended an AI Forum moderated by the University of Oxford to investigate this further:
“Legal frameworks must link AI systems to identifiable entities so liability can be assigned. Currently, we lack the language to define what an ‘agent’ legally is,” said Chris Summerfield, Professor of Cognitive Science at the University of Oxford and Research Scientist at Deepmind UK.
How these legal frameworks should be constructed is still up in the air. What is certain, however, is that as AI agents proliferate, so do their risks:
“Currently, criminals buy thousands of fake accounts laboriously. Soon, AI could generate millions of fake personas instantly,” said Summerfield. “Agents could also be used to snipe bids on e-commerce sites, manipulate auctions, or identify legal loopholes for evasion or lawfare.”
Until global consensus emerges, Big Tech will continue operating in a vacuum and outsourcing harm without accountability. So, what can we do?
Looking to Future Resistance
Despite the bleakness, the Global South is not passive. India’s ban on Facebook’s “Free Basics” program, which was marketed as free internet access but criticized for limiting digital freedom, demonstrates the growing pushback against techno-corporate reign. Efforts to build autonomous platforms and enforce net neutrality reflect a broader movement toward digital sovereignty.
Lately, there has been a rise in “alternative digital narratives”—technological initiatives grounded in local values and free from colonial logic. In order for these narratives to prevail, experts agree that there should be a concentrated effort to invest in independent digital infrastructure, create binding global AI governance, and demand ethical tech that does not externalize its costs. The current system was designed to extract, but the future can still be built to empower.
In the technological arms race of today, the Global South faces significant challenges posed by dominant Western corporations. But this isn’t irreversible. Just as imperialism was challenged, so too can digital colonialism be confronted. With rising awareness, the datafied empire can be dismantled, before it finishes rewriting the future in its own image.