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Klarna CEO Fears “Ghost Data Centers” in $1 Trillion Gamble

by admin477351

A terrifying financial scenario is being whispered in boardrooms: what if the trillions spent on AI data centers result in empty, unprofitable warehouses? Sebastian Siemiatkowski, the CEO of Klarna, has given voice to this fear, stating that the sheer scale of investment in computing infrastructure makes him “nervous.” He questions whether there has been enough “thoughtful thinking” behind the rush to build, or if companies are simply blindly following a trend that may not deliver the expected returns.
This skepticism has contributed to a massive market sell-off. The crypto market, which shares a symbiotic relationship with chip manufacturers and energy consumers, has crashed, losing $1 trillion in value. Bitcoin has fallen to $91,212, dragged down by the broader tech malaise. The fear is that if the data center boom turns out to be a bust, the demand for chips will evaporate, crashing the stock prices of market leaders like Nvidia and causing a cascade of defaults in the tech sector.
The logic behind the fear is sound. Siemiatkowski points out that AI efficiency is improving rapidly. If new models require less compute power, the massive server farms currently under construction could become the “ghost towns” of the digital age—expensive assets with no utility. This would lead to massive write-downs for the tech giants and the banks that financed them.
The stock market is already pricing in this risk. The FTSE 100 and S&P 500 are trading lower as investors rotate out of capital-intensive tech stocks. The “automatic allocation” of pension funds into these companies, which Siemiatkowski criticized, means that a write-down in data center values would hit the retirement savings of millions of people.
As the market digests these risks, the “AI bubble” has moved from a fringe theory to a mainstream concern, with 45% of Bank of America fund managers listing it as their top fear. If the infrastructure bet fails, the fallout will be far costlier than a simple stock market correction.

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