Internet Infrastructure, AI Governance, and the New Geography of Power: What the Strait of Hormuz Story Reveals About Africa’s Digital Future

 

A viral social media post recently claimed that Iran had discovered a weapon “more powerful than oil.” According to the post, the Strait of Hormuz does not only transport nearly twenty percent of the world’s oil, but also carries undersea cables powering the global internet. It further alleged that Iran’s Islamic Revolutionary Guard Corps (IRGC) had threatened to cut those cables unless major technology companies such as Google, Meta, Microsoft, and Amazon complied with its demands. While fact-checking later showed that many parts of the claim were exaggerated or unsupported, the story nevertheless revealed an important truth about the modern world: digital infrastructure has become one of the most strategic assets in global politics.

The internet is often imagined as something abstract, wireless, and borderless. In reality, the internet is deeply physical. It depends on submarine cables, data centers, cloud computing facilities, satellites, semiconductor factories, energy systems, and logistical networks spread across strategic geographic locations. Nearly all international internet traffic passes through undersea fiber optic cables lying across oceans and seas. These cables connect continents, facilitate global finance, enable military communication, support artificial intelligence systems, and sustain the daily operation of governments, businesses, and social platforms.

This means that the infrastructure supporting the digital world has become part of the battlefield of geopolitical competition. The Strait of Hormuz story demonstrates that internet infrastructure is no longer merely a technical issue. It is now a matter of national security, international law, economic stability, and global governance.

The Modern Battlefield: Infrastructure Instead of Territory

Historically, geopolitical power was measured through control of territory, natural resources, military strength, and industrial production. Today, another layer has emerged: control over digital infrastructure and artificial intelligence systems. States and corporations increasingly compete for dominance over cloud infrastructure, data flows, AI models, semiconductor production, and communication networks.

This shift changes the nature of conflict itself. Instead of simply targeting military bases or oil pipelines, future conflicts may focus on internet chokepoints, satellite systems, undersea cables, or cloud servers. Cyberattacks, internet shutdowns, disinformation campaigns, and AI-powered surveillance systems are already central features of modern warfare.

The war between Russia and Ukraine illustrated this transformation clearly. Satellite internet systems such as Starlink became strategic military assets. Cyber warfare targeted financial institutions and communication systems. Artificial intelligence tools were used for surveillance, battlefield analysis, and information operations. Similarly, tensions involving China and Taiwan increasingly revolve around semiconductor manufacturing because advanced chips are essential for artificial intelligence development and modern military technologies.

The Strait of Hormuz discussion fits within this broader pattern. Even if the viral claims were inaccurate, the strategic logic behind them is real. Undersea cables are vulnerable. Digital infrastructure can be weaponized. Global dependence on concentrated technological systems creates geopolitical risks.

Artificial Intelligence Depends on Physical Infrastructure

One of the most misunderstood aspects of artificial intelligence is the assumption that AI exists independently in cyberspace. In reality, AI is inseparable from material infrastructure.

Artificial intelligence systems require enormous computational power, cloud storage, high-speed internet connectivity, advanced semiconductor chips, stable electricity, cooling systems, and massive datasets. Every AI chatbot, predictive system, facial recognition platform, or autonomous technology depends on physical infrastructure distributed across the world.

This means that countries without strong digital infrastructure remain dependent on those who own and control it. Most advanced AI infrastructure today is concentrated in a small number of states and corporations, particularly in the United States and China. Companies such as Google, Microsoft, Amazon, Meta, OpenAI, and Nvidia possess enormous influence because they control critical layers of the global AI ecosystem.

As a result, AI governance cannot be separated from infrastructure governance. A country may develop AI policies, ethical frameworks, or innovation strategies, but without data centers, semiconductor capabilities, internet resilience, energy stability, and local computing capacity, it remains structurally dependent on foreign systems.

This dependency creates new forms of digital inequality.

Africa and the Illusion of Digital Participation

For Africa, the implications are profound. Across the continent, governments, universities, businesses, and policymakers increasingly discuss artificial intelligence adoption, digital transformation, smart governance, and innovation ecosystems. Yet much of this conversation occurs without corresponding investment in foundational AI infrastructure.

Many African states remain consumers rather than producers of digital technologies. They rely heavily on foreign cloud services, foreign social media platforms, foreign data storage systems, and foreign AI tools. Data generated within Africa is often processed, stored, and monetized outside the continent. This raises fundamental questions about sovereignty, dependency, and digital self-determination.

The issue is not simply technological backwardness. It is structural dependence within the global political economy of technology.

If internet infrastructure becomes a geopolitical weapon, what happens to regions that do not control their own infrastructure? If AI systems become central to governance, healthcare, security, education, and economic development, what happens to societies that depend entirely on external platforms and computational systems?

Africa risks becoming digitally connected but technologically dependent.

This creates a paradox. The continent may successfully adopt AI applications while lacking meaningful control over the infrastructure sustaining those systems. In such a scenario, African states become vulnerable to external disruptions, geopolitical tensions, corporate monopolies, and foreign regulatory priorities.

For example, disruptions affecting undersea cables can already significantly impact internet access in parts of Africa. Cloud service dependency means that local economies may rely on servers physically located outside their jurisdictions. AI tools used in governance or security may operate through opaque foreign algorithms that African regulators neither control nor fully understand.

Thus, conversations about AI governance in Africa cannot focus only on ethics, innovation, or regulation in abstract terms. They must also address infrastructure ownership, digital sovereignty, energy systems, cybersecurity resilience, semiconductor access, and regional technological capacity.

AI Governance Beyond Ethics

Global AI governance discussions often emphasize ethical principles such as transparency, fairness, accountability, and human rights. These are essential concerns. However, the geopolitical dimension of AI governance is equally important.

Who owns the infrastructure? Who controls the data? Who develops the chips? Who hosts the cloud systems? Who sets the technical standards? Who has the capacity to disconnect others from the system?

These questions reveal that AI governance is fundamentally connected to power distribution within the international system.

The Strait of Hormuz story symbolizes this reality. Whether involving oil routes, submarine cables, semiconductor supply chains, or satellite systems, infrastructure determines vulnerability and influence. Digital infrastructure has become strategic infrastructure.

For Africa, this means AI governance must move beyond policy rhetoric toward long-term infrastructural thinking. Investment in regional data centers, resilient internet systems, digital education, research institutions, cybersecurity frameworks, renewable energy infrastructure, and local innovation ecosystems is no longer optional. It is part of protecting sovereignty in the digital age.

The challenge is not whether Africa should participate in artificial intelligence. The challenge is whether Africa will participate merely as a market for external technologies or as a meaningful actor capable of shaping its own digital future.

Conclusion

The viral story about Iran and submarine cables may have exaggerated immediate threats, but it exposed a larger truth about the changing nature of global power. The internet is not simply a virtual space. Artificial intelligence is not merely software. Both depend on physical infrastructure that can be controlled, disrupted, weaponized, or monopolized.

Modern conflicts increasingly revolve around invisible systems beneath oceans, inside data centers, and across computational networks. Infrastructure has become strategy.

For Africa, the lesson is urgent. Artificial intelligence adoption without infrastructural development risks deepening dependency rather than achieving digital transformation. AI governance cannot exist independently from AI infrastructure. A continent that does not materially invest in the foundations of digital power may ultimately consume technologies it neither controls nor governs.

The future of sovereignty may no longer depend only on borders and armies. It may depend equally on cables, chips, cloud systems, data centers, and the governance structures surrounding them.