Nvidia Turns to Insurers to Spread the Risk of AI Build-Out Beyond Big Tech

Nvidia Explores Insurance Partnerships to Mitigate Financing Risks

Nvidia has initiated talks with insurance companies about shouldering the financial risks associated with lending against its chips, marking a strategic push by CEO Jensen Huang to unlock demand for semiconductors beyond Big Tech groups1

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. The chipmaker is exploring various structures that could shift some risk of capital-intensive semiconductor financing to insurers and other investors2

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. One structure under discussion involves insurance against losses on loans to smaller cloud computing companies, or neoclouds, if they default and the Nvidia chips pledged as collateral cannot be resold for enough to repay lenders1

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. While these conversations remain at an early stage and may not lead to any deals, they illustrate how the world's most valuable listed company is experimenting with structures across Wall Street, private capital, and now the insurance sector to expand its customer base.

Treating AI Chips as an Investable Asset Class

Huang has consistently argued that chips should be treated like an investable asset class akin to other pieces of expensive, long-lasting technology, such as aeroplanes, which support complex financial structures to shift risks and costs between users and investors1

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. According to one person familiar with Nvidia's efforts, "Nvidia is trying to will the market to participate, to show other capital providers that these are investable assets"1

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. This approach aims to encourage more capital to flow to a group of Nvidia customers that lack the substantial balance sheets of Big Tech groups. Nvidia has shared data on chip depreciation and the expected future price of computing power with at least one insurance firm1

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. The company stated that its "AI infrastructure is an investable asset class because it is uniquely productive, durable and fungible"1

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Expanding Access Through Residual Value Insurance

The structures Nvidia has examined are similar to residual value insurance, which protects against the decline in the value of tech equipment1

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. Companies including Forward Compute and American Compute have emerged to offer these niche products. Quentin Saleur, chief executive of Forward Compute, explained that insurance products could level the playing field for smaller cloud providers by removing the risk that they go bust before fulfilling a contract1

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. "Large compute buyers don't want the counterparty risk of a neocloud," Saleur said. "But when they use insurance, smaller neoclouds are able to compete with an Amazon or a Google, because all of a sudden, the counterparty risk is the same"1

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. Forward Compute is examining using forward-looking chip valuations from research providers such as Barkr AI and Silicon Data, which have emerged as key data sources for the nascent market1

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Syndicating Risk Beyond Traditional Insurers

The effort to develop insurance partnerships is being led by Ingemar Lanevi, Nvidia's head of financial solutions1

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. Nvidia has explored using insurance groups to syndicate risk to hedge funds and other alternative investors, recognizing that the potential scale of the deals could overwhelm the balance sheets of even large insurance carriers2

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. The company has also considered being part of a consortium backing such agreements alongside insurers, hedge funds and asset managers1

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. Nvidia was working with broker Howden Re on developing a structure involving insurers, though Howden declined to comment1

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. The insurance discussions represent a new front in Nvidia's broader strategy, which became clearer last month when the company offered to backstop a portion of financing deals intended to unlock $500bn of capital from Wall Street firms such as Goldman Sachs and Apollo1

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Implications for AI Infrastructure Adoption

The talks come as insurers launch a flurry of products aimed at the AI build-out, including coverage for credit risk and falls in chip values, as well as contract breaches caused by power outages or cooling failures at AI data centers1

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. Nvidia also guaranteed $105bn of leases to get a massive data centre built for OpenAI, and told investors that it expects a quarter of its revenue next year to come from AI labs that the chipmaker supports with its balance sheet1

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. A forthcoming study from Barkr AI found that Nvidia's eight-GPU H100 system from 2022 is worth roughly $320,000 today, about the same as its initial value1

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. The study projects that if the supply of computing power catches up with demand, the system would retain about two-thirds of its value after one year1

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. This financial innovation could accelerate AI infrastructure adoption by making it economically viable for a broader range of companies to deploy cutting-edge computing resources. The company is also returning capital on a vast scale, announcing plans to launch a record $150bn share buy-back on Monday1

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