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Data Centers Operate Like Foreign Military Bases, Says Economist Cecilia Rikap

Unpacking Corporate Power Through the Lens of Global Value Chains
4 de junio de 2026 por
breakyy, Administrator

In her latest book, economist Cecilia Rikap provides a deep-dive analysis into the dynamics of global corporate power. Through her study, she reveals that major tech companies like Google, Microsoft, and Amazon control global value chains much in the same way that military bases operate on foreign territory.

Global Value Chains and Corporate Control

Rikap argues that data centers have transformed into modern-day fortresses of information and power. These troves of valuable data, managed by technology behemoths, dictate global value chains and have an immense influence on other dependent industries and economies. The analogy of these data centers functioning like foreign military bases underscores their territorial control and global reach.

Implications for Economic Structures and Policies

Google, Microsoft, Amazon, and other tech giants harness their data power to mould global economic structures to their advantage, creating dependencies and undermining traditional economic tenets. According to Rikap, understanding this analogous relationship is crucial to formulating policies and regulations that promote a more equitable and decentralized distribution of data resources.

Digital economy and the inherent power dynamics has become a significant discussion point in recent times, and Rikap's latest observations add to the growing body of literature advocating for stronger checks and balances in this data-driven era.

Questions Over Data Authority

As the authority over data equates directly with power, it becomes increasingly important to question who decides on data control. The insights shared by Rikap highlight the need for discourse in the tech community about decentralization of data to prevent monopolistic control. Such dialogues can pave the way for more democratic governance of global value chains, diminishing the gap between data haves and have-nots.

Fuente original: RRS tecnologia 

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