n December 31, 1600, Queen Elizabeth I signed a royal charter granting the East India Company exclusive rights to conduct trade in the Indian Ocean region. The document was precise in its limitations: The company could establish trading posts, negotiate with local rulers, and defend its commercial interests. Nothing more.
Seventy-seven years later, the same company had acquired the right to mint currency on behalf of the British crown. By 1765, it controlled the tax collection (ruthlessly enforced by its own private army) for the Indian provinces of Bengal, Bihar, and Orissa—territories containing roughly 20 million people. What began as commercial efficiency had become imperial governance. The transformation was so gradual that few contemporaries even noticed sovereignty shifting in the region from local rule to corporation.
A similar pattern can be seen today with national governments and Big Tech—only this time, centuries of drift have been compressed into months. Where the East India Company deployed trading posts and private armies, today’s technology firms and specifically AI development companies use data pipelines, data centers, and algorithmic systems. The medium has changed; the mechanics of private power assuming public functions remain the same.
Consider the trajectory of Elon Musk’s so-called “Department of Government Efficiency” (DOGE). Established in February 2025 with the stated goal of eliminating bureaucratic waste but an unstated aspiration to vacuum up new data to improve Musk’s companies, DOGE began with access to federal payment systems—ostensibly to identify inefficiencies. Within weeks, reports emerged that DOGE personnel had gained the ability to alter government databases, including Social Security records and contractor payments. The justification remained consistent: To deliver efficiency, one must first seize control.
The parallel extends beyond metaphor. Just as the East India Company’s commercial success gradually justified new powers, today’s AI firms seek to leverage technical prowess to assume public functions by default, implicitly assuming that the reallocation of power will serve human flourishing. Each efficiency gain becomes justification for the next transfer of authority, yet the costs of that automation go uncalculated.
What once took generations now takes quarters; the key difference is the ease with which private digital systems can be aligned with the politics of friends and enemies.
Musk’s simultaneous control of Twitter/X, Starlink communications, government database access through DOGE, and his aspiration for X to have cryptocurrency capabilities creates potential for end-to-end governance systems that operate beyond any single nation’s regulatory authority while being harnessed to Musk’s personal and political preferences.
The traditional mechanisms of democratic oversight were designed for a different era, when platforms served users rather than weaponizing dependencies against them. Congressional hearings follow predictable rhythms: subpoenas issued, witnesses called, testimony delivered, reports filed. The entire cycle requires months, sometimes years.
By contrast, software deployments happen overnight, and infrastructure can be tuned to malevolence with a single command.
This temporal mismatch creates what intelligence analysts call a “decision cycle advantage”—the ability to outpace one’s adversaries by acting faster than they can respond. By the time democratic institutions recognize a threat, assess its implications, and formulate a response, the technological landscape has already shifted. The oversight apparatus is left examining yesterday’s problems with yesterday’s tools, while today’s weapons are already in use.
It can be done. Taiwan offers the most compelling model for democratic technology governance. Rather than choosing between corporate efficiency and democratic oversight, its government has deployed tools like Pol.is—a digital platform designed for facilitating cooperation across difference—that enable thousands of citizens to participate directly in policy formation. The result demonstrates that democracy can move at technological speed—when paired with infrastructure designed to serve the public good, not private profit.
As American allies have discovered, platform dependency is a trap that snaps shut when you least expect it. The question facing democratic societies is whether they will escape this trap while they still can, or whether they will remain subject to the whims of unelected digital sovereigns.
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