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AI bubble: how Google is financed by Wall Street Anthropics chips
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AI bubble: how Google is financed by Wall Street Anthropics chips

Google has created a complex financial structure involving partnerships with chip designer Broadcom, investment firms Apollo and Blackstone, and several banks to sell its Tensor Processing Units (TPUs) without these transactions appearing directly on its balance sheet. Most of these TPUs are sold to Anthropic, with contracts totaling around $200 billion. The Financial Times analyzed this setup, revealing that Google sells TPUs to Broadcom, which then sells them to a special-purpose entity called Compute SPV. Compute SPV borrows money from Apollo and Blackstone and leases the TPUs to Anthropic. If Anthropic fails to pay, Broadcom guarantees up to $30 billion of the $35 billion involved. This model could extend to additional TPU hardware purchases already agreed upon by Google, Anthropic, and Broadcom. Additionally, Google is securing power and data centers for its TPUs through partnerships with former cryptocurrency miners, such as TeraWulf, which built a 360-megawatt facility in Upstate New York with Google’s guarantee. Morgan Stanley helped finance this project with construction bonds worth $3.2 billion, while Google received warrants for a stake in TeraWulf. Similar arrangements,

Google has entered into a complex financial arrangement with chip designer Broadcom, investment firms Apollo and Blackstone, and several banks to facilitate the sale of its Tensor Processing Units (TPUs) without these transactions appearing directly on its balance sheet. A significant portion of these TPUs are being sold to Anthropic, a leading artificial intelligence company. The contracts involved in this structure amount to approximately $200 billion in total value, according to the Financial Times. The arrangement involves Google selling its TPUs to Broadcom, which then sells them to a specially created entity called Compute SPV. This entity borrows money from Apollo and Blackstone to finance the purchase of the chips and subsequently leases them to Anthropic. If Anthropic fails to make its payments and Compute SPV cannot meet its loan obligations, Broadcom has guaranteed to cover up to $30 billion of the $35 billion currently circulating in this round of financing. This structure, as revealed by the Financial Times, could serve as a template for future deals involving another 3.5 gigawatts of TPU hardware already agreed upon by Google, Anthropic, and Broadcom. The model resembles the financing strategies used by Boeing and General Electric in the sale of aircraft and engines. In addition to securing funding for TPUs, Google aims to ensure sufficient power supply and data center capacity for its operations. Former cryptocurrency miners have played a role in this effort by providing excess capacity. These partnerships are common, with companies such as CoreWeave transitioning from mining to operating AI data centers. TeraWulf was the first to build a 360-megawatt data center expansion in Upstate New York under a Google guarantee. Google assured the lease payments for Anthropic’s site. Morgan Stanley structured this deal into construction bonds worth $3.2 billion, effectively taking on the financial responsibility if needed. In return, Google received so-called penny warrants allowing it to purchase shares in TeraWulf for symbolic cents. Google expanded this model to other projects, including collaborations with Cipher Digital and Hut 8 in Texas and Louisiana. According to the Financial Times, there are ten such projects totaling 2.4 gigawatts of power capacity secured by Google as a backstop. Google risks up to $44 billion in potential losses if all rental agreements fail, yet its balance sheet only reflects $815 million allocated for this purpose. This intricate web of guarantees fits within the broader context of the current investment race in artificial intelligence. Recently, it was reported that Nvidia is negotiating a $250 billion guarantee for OpenAI. Collectively, major technology companies have already invested over a trillion dollars in expanding their AI capabilities, despite growing doubts about the long-term sustainability of this boom.

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AI bubble: how Google is financed by Wall Street Anthropics chips

Google has created a complex financial structure involving partnerships with chip designer Broadcom, investment firms Apollo and Blackstone, and several banks to sell its Tensor Processing Units (TPUs) without these transactions appearing directly on its balance sheet. Most of these TPUs are sold to Anthropic, with contracts totaling around $200 billion. The Financial Times analyzed this setup, revealing that Google sells TPUs to Broadcom, which then sells them to a special-purpose entity called Compute SPV. Compute SPV borrows money from Apollo and Blackstone and leases the TPUs to Anthropic. If Anthropic fails to pay, Broadcom guarantees up to $30 billion of the $35 billion involved. This model could extend to additional TPU hardware purchases already agreed upon by Google, Anthropic, and Broadcom. Additionally, Google is securing power and data centers for its TPUs through partnerships with former cryptocurrency miners, such as TeraWulf, which built a 360-megawatt facility in Upstate New York with Google’s guarantee. Morgan Stanley helped finance this project with construction bonds worth $3.2 billion, while Google received warrants for a stake in TeraWulf. Similar arrangements,

Bias read (Center): The article provides a detailed explanation of a financial arrangement between Google, Broadcom, and Anthropic, focusing on the technical and economic aspects of the deal. It does not take a clear stance on the implications of the deal, nor does it present any overtly biased language or selective o

Why factuality (85): The article reports on a complex financing structure involving Google, Broadcom, Apollo, Blackstone, and Anthropic, citing the Financial Times as a source. It provides specific figures like $200 billion in contracts and mentions the potential application of this model to future hardware purchases. W

Why objectivity (70): The tone leans slightly towards explaining the complexity of the arrangement, but it does not present conflicting viewpoints or alternative interpretations. The language is informative but carries a somewhat promotional undertone given the context of AI development and corporate partnerships.

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