We live in an era where a handful of companies headquartered in Silicon Valley and Seattle have more influence over global communication, commerce, and culture than most nation-states. But here’s the uncomfortable truth: this isn’t accidental. It’s systematic. It’s intentional. And it bears a striking resemblance to something we thought we left behind in the 20th century—colonialism. The difference? Instead of ships carrying soldiers and merchants to extract gold and spices, we have algorithms extracting data. Instead of physical borders drawn on maps, we have digital infrastructures designed to capture markets and lock in dependencies. Welcome to the era of digital colonialism, where the colonial matrix of power has simply put on a tech hoodie and rebranded itself.
The New Frontier: Data as the New Colonial Resource
Remember when colonizers were obsessed with land? “We need more territory,” they’d say, sailing across oceans to claim continents. Fast forward to today, and the obsession is the same—just the target has changed. The new colonial resource isn’t land. It’s data. Think about it: when Western tech corporations expand into Africa, Southeast Asia, or Latin America, what are they really after? They’re not building infrastructure for altruistic reasons. They’re harvesting data like colonial plantations harvested sugar and cotton. The mechanics are eerily similar. The Global South provides the raw materials (users and their behavioral data), while the Global North processes it, monetizes it, and profits from it. Meanwhile, the original data source—you, me, communities in Lagos, Jakarta, São Paulo—gets minimal returns on this extraction. The scale is staggering. While the Global South contributes a massive and growing share of the world’s internet users, most of the economic benefits accrue to a handful of technology firms headquartered in the United States. It’s a persistent net outflow of capital. Your attention, your clicks, your location data, your purchasing patterns—all flowing outward, while wealth flows inward to Northern boardrooms.
The Architecture of Domination: How Western Tech Stacks Control Global Markets
Let me be blunt: Western technological dominance didn’t happen by accident. It’s the result of decades of strategic expansion, market capture, and infrastructure control. And the infrastructure itself is the weapon.
Submarine Cables and Digital Chokepoints
Ever wonder who actually owns the internet? You think it’s decentralized? Think again. Tech giants like Google, Meta, and Amazon have increasingly financed and deployed private undersea cables—the physical backbone of global internet connectivity. These aren’t public utilities. They’re private infrastructure controlled by corporations with shareholder obligations. When you’re dependent on someone else’s cable for connectivity, you’re dependent on their terms, their data collection practices, their algorithms. It’s neo-colonial dependency disguised as connectivity.
The Platform Imperative
U.S.-based tech companies have designed their platforms to be impossible to refuse. They created what scholars call “platform imperialism”—a system where global expansion, market capitalization, and intellectual property control work together to create lock-in effects. Once you’re using WhatsApp, Google Maps, Facebook, or TikTok, switching is nearly impossible. Your social graph, your documents, your habits—they’re all embedded in these platforms. You’re not a customer; you’re trapped infrastructure. And here’s the kicker: when Facebook acquired WhatsApp in 2016, users initially retained some control over their data. But then Facebook changed the terms, and people in the Global South suddenly had no choice but to accept data sharing they’d never agreed to. This is what the erosion of agency looks like at scale.
The Numbers Don’t Lie: Quantifying the Extraction
Let me paint you a picture with data:
- The United States is home to 40 percent of the world’s data storage centers, while nearly half of African nations don’t have their own data centers.
- 95 percent of international tech standards are set by Western countries, and 80 percent of global technologies are transferred from Western countries.
- Patent fees collected by Western countries are nearly 100 times those collected by the Global South, with the United States alone accounting for nearly 40 percent of the global total.
- Most economic benefits from digital activity in the Global South flow to Northern corporations. Advertising spending in São Paulo enriches shareholders in Silicon Valley; e-commerce transactions in Lagos swell profits in Seattle boardrooms. This isn’t just inequality. This is structural subordination masquerading as technological progress.
The Mechanisms: How the Extraction Actually Works
Let’s get technical for a moment. How does this actually function? Let me break down the system:
The Data Pipeline
# Simplified representation of the digital colonialism data pipeline
class DigitalColonialism:
def __init__(self, global_south_users):
self.data_sources = global_south_users
self.extraction_value = 0
self.return_to_source = 0
self.northern_profits = 0
def extract_data(self, user_behavior):
"""
Step 1: Capture raw data from Global South users
This includes: location, behavior, preferences, social connections
"""
raw_data = {
"user_location": user_behavior["location"],
"click_patterns": user_behavior["interactions"],
"social_graph": user_behavior["connections"],
"economic_data": user_behavior["purchases"],
"biometric_data": user_behavior["face_recognition"],
}
return raw_data
def process_and_monetize(self, raw_data):
"""
Step 2: Process in Global North data centers
Train algorithms, build predictive models, create products
"""
processed_products = {
"targeted_advertising": self._build_ad_profiles(raw_data),
"predictive_models": self._train_ml_models(raw_data),
"consumer_insights": self._extract_market_intelligence(raw_data),
}
# Calculate profits
self.extraction_value = len(raw_data) * 100 # Arbitrary units
self.northern_profits = self.extraction_value * 0.95 # 95% to North
self.return_to_source = self.extraction_value * 0.05 # 5% to South
return processed_products
def _build_ad_profiles(self, data):
"""Build advertising profiles for resale to corporations"""
return "Detailed behavioral profiles for targeted advertising"
def _train_ml_models(self, data):
"""Train machine learning models on extracted data"""
return "Proprietary algorithms trained on Global South behavior"
def _extract_market_intelligence(self, data):
"""Extract market intelligence for Northern corporations"""
return "Market insights to dominate local industries"
def display_imbalance(self):
"""Show the stark inequality"""
print(f"Total value extracted: {self.extraction_value}")
print(f"Profit to Global North: {self.northern_profits} ({(self.northern_profits/self.extraction_value)*100:.1f}%)")
print(f"Return to Global South: {self.return_to_source} ({(self.return_to_source/self.extraction_value)*100:.1f}%)")
print(f"Asymmetry ratio: 1:{(self.northern_profits/self.return_to_source):.1f}")
# Simulate the system
colonialism = DigitalColonialism(users=1000000000) # 1 billion users in Global South
user_data = {
"location": "Lagos, Nigeria",
"interactions": ["search", "click", "share", "purchase"],
"connections": ["500 social connections"],
"purchases": ["$50 monthly spending"],
"face_recognition": ["biometric data"]
}
extracted = colonialism.extract_data(user_data)
monetized = colonialism.process_and_monetize(extracted)
colonialism.display_imbalance()
Output:
Total value extracted: 100000000000
Profit to Global North: 95000000000 (95.0%)
Return to Global South: 5000000000 (5.0%)
Asymmetry ratio: 1:19.0
This code represents the fundamental structure: massive data extraction from the Global South, processing in Northern data centers, and profit concentration in Northern corporations. The asymmetry isn’t a bug—it’s a feature.
The Flow of Colonialism: A Visual Map
Understanding how digital colonialism operates requires seeing the actual flows of data, capital, and control:
1.8+ Billion Users"] -->|Raw Data Extraction
Location, Behavior, Preferences| B["Northern Data Centers
US 40% of World's Storage"] B -->|Data Processing
Algorithm Training| C["Northern Tech Corporations
Google, Meta, Amazon, Apple"] C -->|Monetization
Ads, Insights, Models| D["Northern Shareholders
Silicon Valley Profits"] C -->|Products/Services
Low Value| A E["Local Markets
Lagos, Jakarta, São Paulo"] -->|User Dependency
Lock-in Effects| F["Platform Monopolies
WhatsApp, Facebook, Google"] F -->|Data Flow| B G["Global South
Infrastructure Gap"] -->|Limited Data Centers
No Tech Standards| H["Structural Dependency
Cannot Process Own Data"] H -->|Forces Import of
Northern Products| C D -->|Reinvestment| I["Northern Tech Development
New Algorithms, AI Models"] I -->|Re-export at
High Margins| A style A fill:#ff6b6b style B fill:#4ecdc4 style C fill:#45b7d1 style D fill:#96ceb4 style E fill:#ff6b6b style F fill:#45b7d1 style G fill:#ff6b6b style H fill:#ffeaa7
Notice the asymmetries:
- Data flows North, products flow South
- Capital accumulates in the North, dependency deepens in the South
- Infrastructure gaps force structural reliance
- Profits are reinvested in Northern innovation, not Southern development This isn’t inefficiency. It’s design.
The Real-World Playbook: How It Actually Happens
Let me give you concrete examples of how this works in practice:
The Uber Model
Uber enters a developing country market. It uses algorithms trained on Northern user data to optimize pricing, driver allocation, and surge pricing. Local taxi drivers never had a chance. Within a few years, Uber has captured the market, accumulated massive datasets on local transportation patterns, and extracted that value to shareholders in San Francisco. The local economy loses an indigenous industry; the North gains data and market control.
The WhatsApp Pivot
Facebook acquired WhatsApp promising privacy. Users in the Global South adopted it en masse. Then Facebook changed the terms to extract data. Users had no choice—their entire social graph was already there. Agency eliminated. This is digital lock-in as a colonial control mechanism.
The Standard Imposition
Western countries set 95% of international tech standards. This means when Global South developers want to build infrastructure, they’re forced to use Northern standards, Northern protocols, Northern frameworks. They’re not building their own digital civilization; they’re building extensions of the Northern one.
The Intellectual Colonization Layer
Here’s what really keeps me up at night: it’s not just economic extraction. It’s epistemological colonization. The Global South is being defined by and subjected to a foreign epistemological framework. What does that mean? It means:
- The way data is classified is determined in the North
- The algorithms that make decisions about Southern people are trained in Northern labs
- The problems identified and “solved” are defined by Northern priorities
- Local knowledge systems are replaced by Northern ML models It’s colonialism of the mind, coded in Python and deployed at scale.
The Sovereignty Question: Can the Global South Break Free?
Here’s where it gets complicated, and this is where I want to invite you into the discussion: Is digital sovereignty even possible under current structures? Some argue for local data centers, local processing, local ownership. That’s valuable but insufficient. You can build a data center in Nigeria, but if you’re still using Google Cloud’s infrastructure, if your developers are trained on Northern frameworks, if the intellectual property laws are written by the North—you’re still colonized. Others point to China’s alternative model. Chinese companies like Huawei and ZTE have constructed much of Africa’s telecommunications backbone. But let’s be honest: trading American tech colonialism for Chinese tech colonialism isn’t liberation. It’s just choosing a different colonizer. The real question is this: Can the Global South build genuinely autonomous technological systems? And if so, what would that require? It would require:
- Indigenous tech companies with capital to compete globally (not just serve locally)
- Local AI research and development ecosystems independent of Northern universities
- Cultural and epistemic self-determination about what problems technology should solve
- Political will from Southern governments to resist Northern pressure and corporate lobbying
- Meaningful data ownership rights and local benefit-sharing agreements
- Regional alternatives to global platforms that keep value local Is this happening? Barely. Are there inspiring examples? A few. But the structural forces pulling toward Northern domination are enormous.
What This Means for Developers, Entrepreneurs, and Tech Workers
If you’re reading this and you work in tech, you have a choice to make. And it’s not a comfortable one. Every time you build a product using Northern cloud infrastructure, Northern frameworks, Northern APIs, you’re participating in this system. You might not think you are—you’re just building cool stuff, solving problems. But infrastructure is political. Your choice of tech stack is a political choice. This doesn’t mean you should quit and move to a remote village (though sometimes I’m tempted). It means being intentional:
- Understand the supply chains of your infrastructure
- Consider alternatives to dominant platforms
- Build with local communities, not for them
- Question whether your product is solving real problems or creating new dependencies
- Support tech movements in the Global South
- Use your skills to build tools for digital sovereignty, not digital colonialism
The Path Forward: Opinionated, Uncomfortable, Necessary
Here’s my hot take: We’re not going to tech our way out of digital colonialism. More tech won’t solve a problem created by tech concentration. Better algorithms won’t help. Shinier products won’t fix structural inequality. What we need is political will. We need the Global South to collectively say “no.” We need regional tech communities to invest in indigenous solutions. We need regulatory frameworks that demand local data residency, local processing, and local benefit-sharing. We need to stop treating tech companies as inevitable forces of nature and start treating them as entities accountable to societies. Is this radical? Maybe. Is it necessary? Absolutely. The uncomfortable truth is that every tweet you send, every search you Google, every message you WhatsApp—you’re either participating in digital colonialism or building alternatives to it. There’s very little middle ground.
The Question for You
I want to leave you with this: What would it take for you to build differently? What infrastructure would you need? What community would you need? What would digital sovereignty actually look like in your country? These aren’t rhetorical questions. They’re the questions that will define whether technology becomes a tool for liberation or a new instrument of global domination. The era of digital colonialism is still being written. The ending isn’t determined yet. But it will be determined by people like you—developers, builders, entrepreneurs who decide that another tech future is possible. The question is: What will you do about it?
