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Bank of England probes data-mining lending strategies fueling AI bets
The Bank of England is worried that a rise in financiers' lending to data center lending may cause an AI bubble reminiscent of the dot-com crash in the early 2000s. The Bank of England is investigating the rise of financiers lending to data centers as a way to speculate on the future of AI, Bloomberg said. The UK's top bank has already been examining market risks that could arise if AI companies fail to meet lofty valuations, warning that many could come crashing down in a correction reminiscent of the dot-com bubble in the early 2000s. Now, it is exploring the relationship between AI companies and financiers that are looking to place bets in the AI market, Bloomberg reported on Friday. Although lending to data centers is still a niche market, it is poised to become a crucial source of funding, with an estimated $6.7 trillion needed by 2030 to keep up with the rising demand to power AI, McKinsey & Co said in April. Bloomberg said the investigation was launched after BOE noticed an increasing amount of funds moved from hiring staff to spending billions of dollars on constructing data centers. With few AI-native stocks available and the crypto tokenization of private AI stocks not ready at scale, turning to data-center lending has been one of the few ways to place big bets in the AI space. The BOE's probe could mean that this strategy faces future regulatory limits, potentially curbing returns and slowing AI innovation. UK crypto groups have also slammed the BOE's proposal to limit individual stablecoin holdings to between 10,000 British pounds ($13,310) and 20,000 pounds ($26,620) -- claiming it is not only restrictive but difficult and expensive to implement. While the BOE said it wouldn't impose those restrictions forever, UK banks have also imposed measures of their own, with about 40% of 2,000 surveyed crypto investors saying that their banks had either blocked or delayed a payment to a crypto provider. However, the UK's top bank holds the view that these emerging lending practices warrant close scrutiny due to their potential implications for financial stability. Related: Bitcoin treasuries can earn more Bitcoin, says Willem Schroé "If the projected scale of debt-financed AI and associated energy infrastructure investment materializes over this decade, financial stability risks are likely to grow," it said on Friday. "Banks would be exposed to this directly through their credit exposures to AI companies, as well as indirectly through their provision of loans and credit facilities to private credit funds and other financial institutions which are exposed to AI-impacted asset prices."
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Bank of England scrutinizes AI data center lending amid growth concerns - Bloomberg By Investing.com
Investing.com -- The Bank of England is examining lending practices to data centers that represent significant bets on artificial intelligence's future, as part of a broader review of financial exposure to the AI sector, according to a report from Bloomberg News. The central bank previously highlighted market risks associated with surging valuations of AI companies, warning about potential sharp corrections if "expectations around the impact of AI become less optimistic." BOE officials are now shifting focus to connections between AI firms and the financial sector, according to sources familiar with the situation. While current lending remains relatively small, with most early construction funded through equity, it's projected to expand considerably in coming years. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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The Bank of England is probing the rise of financiers lending to data centers as a way to speculate on AI's future. This investigation comes amid concerns of a potential AI bubble reminiscent of the dot-com crash.
The Bank of England (BOE) has launched an investigation into the growing trend of financiers lending to data centers as a means of speculating on the future of artificial intelligence (AI). This probe comes amid concerns of a potential AI bubble that could mirror the dot-com crash of the early 2000s
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.The central bank's investigation is part of a broader review of financial exposure to the AI sector. While the BOE had previously examined market risks associated with inflated AI company valuations, it is now shifting its focus to the connections between AI firms and the financial sector
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.Although lending to data centers is currently a niche market, it is poised to become a crucial source of funding for the AI industry. According to McKinsey & Co, an estimated $6.7 trillion will be needed by 2030 to meet the rising demand for AI infrastructure
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.The BOE's investigation was prompted by observations of a significant shift in fund allocation. Companies are increasingly moving away from hiring staff and instead investing billions of dollars in constructing data centers
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.The Bank of England views these emerging lending practices as warranting close scrutiny due to their potential implications for financial stability. The central bank stated, "If the projected scale of debt-financed AI and associated energy infrastructure investment materializes over this decade, financial stability risks are likely to grow"
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.The BOE highlighted that banks could be exposed to risks both directly through credit exposures to AI companies and indirectly through loans and credit facilities provided to private credit funds and other financial institutions exposed to AI-impacted asset prices
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The BOE's investigation could lead to future regulatory limits on data-center lending strategies. This potential regulation might curb returns and potentially slow AI innovation
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.It's worth noting that the UK's financial regulatory bodies have already shown a cautious approach to emerging technologies. For instance, the BOE has proposed limits on individual stablecoin holdings, a move that has faced criticism from UK crypto groups
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.While the potential for growth in AI-related lending is significant, the current market remains relatively small. Most early construction in the sector is funded through equity rather than debt
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.However, with few AI-native stocks available and the crypto tokenization of private AI stocks not yet ready at scale, data-center lending has emerged as one of the few ways for investors to place substantial bets in the AI space
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