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Phantom investments: how the UK is building AI on promises

Journalists at The Guardian conducted a major investigation into the British government's AI development program. At the center of the scandal are two companies

AI-processed from Guardian; edited by Hamidun News
Phantom investments: how the UK is building AI on promises
Source: Guardian. Collage: Hamidun News.
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Phantom Investments: How Britain Builds AI on Promises

A major Guardian investigation has exposed an alarming gap between the ambitious statements of the British government regarding artificial intelligence development and the actual state of affairs in the industry. Journalists meticulously compared the multi-billion-pound investment promises made by officials with what was actually implemented, and discovered that a significant portion of high-profile announcements remains merely words. A symbol of this gap became the "supercomputer" in Essex county, which at the time of the investigation was not a world-class computing center, but a construction site with scaffolding. Instead of a technological breakthrough, Great Britain essentially received a showcase with beautiful decorations, behind which lies emptiness.

Understanding the context of what is happening is impossible without accounting for the global race for leadership in artificial intelligence, which in recent years has drawn all the world's major economies. The British government, seeking to position the country as one of the key players in this market, placed its bets on attracting private investment and partnerships with technology giants. Two companies became the central figures of this strategy — Nscale and CoreWeave, both closely linked to American chip manufacturer Nvidia, whose graphics processors form the foundation of modern AI infrastructure.

The government regularly announced impressive investment figures, creating an image for the public and international partners of rapid technological growth. However, as the investigation revealed, there is a huge distance between the announcement of investments and their actual implementation, and the figures themselves often turn out to be inflated or simply unverified.

Particular attention deserves the financial mechanics of the schemes described. The Guardian journalists recorded a striking figure — a profit of three hundred fifty thousand percent, related to operations around AI infrastructure. Such profitability, unthinkable in practically any legitimate economic sector, testifies to deep structural distortions in the system of government procurement and investment agreements.

In fact, it is a matter of state funds and the government's political capital being used to create conditions in which private companies extract colossal profits while minimally fulfilling their undertaken obligations. Chips are shipped, contracts are signed, press releases are published, but the final product — that very computational power that was supposed to ensure British leadership in AI — remains phantom. The term "phantom investments," introduced by journalists, precisely describes the essence of the phenomenon: money exists in reports but does not materialize into infrastructure.

The consequences of this scandal extend far beyond Great Britain and affect the very model of interaction between the state and technology corporations that has developed in the era of the AI boom. Governments around the world, including countries of the European Union, Saudi Arabia, and the United Arab Emirates, are actively announcing multi-billion-pound programs for artificial intelligence development, and the British case raises a natural question about how real similar promises are in other jurisdictions. Dependence on a single supplier of critical components — Nvidia — creates an asymmetry in negotiating power, in which the corporation and its affiliated structures dictate conditions, while the state finds itself in the position of a petitioner, ready to turn a blind eye to unfulfilled obligations for the sake of maintaining a politically advantageous image.

For Britain itself, the blow is especially painful in the context of post-Brexit searches for a new economic course, when the technology sector was presented as one of the main trumps of sovereign development.

Moreover, the investigation raises a fundamental question about transparency and accountability in a sphere that develops faster than the mechanisms of government oversight. When the government announces billion-pound investments in AI, taxpayers and parliamentarians often lack tools for independent verification of these claims. The technological complexity of projects creates an information barrier behind which it is easy to hide both inflated estimates and outright non-fulfillment of obligations. Without creating specialized audit mechanisms and requirements for public reporting, AI investments risk becoming a new form of opaque government spending.

The British experience of "phantom investments" in artificial intelligence is not simply a story of one government miscalculation, but a warning for all countries caught up in AI fever. When the political need for beautiful numbers and loud headlines exceeds the government's ability to control the actual execution of projects, an environment is created in which intermediaries thrive and public interest is sacrificed to corporate profit. The scaffolding in Essex, standing in place of the promised supercomputer, became not just a journalistic metaphor, but a literal embodiment of how a nation's technological ambitions can turn out to be a facade without substance.

ZK
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