2 Sources
[1]
Inside Google's $200bn Wall Street finance machine for Anthropic
Google has assembled one of the largest infrastructure financing programmes in history to sell more than $150bn of AI chips destined for Anthropic. The effort brings together Google, Broadcom, Apollo, Blackstone, Morgan Stanley and a slew of crypto miners in a web of transactions that stretches from chip manufacturing to data centre development, according to people involved in the project and corporate filings reviewed by the FT. The arrangements, which tie together contracts worth about $200bn, have not previously been reported in full. They reveal how Big Tech is creating funding models for AI that reach far beyond traditional corporate spending and tie more of the financial system to the industry's growth. At the centre of the project are Google's tensor processing units, or TPUs -- AI chips it has co-developed with Broadcom since 2016. Once used largely inside Google's own data centres, the chips have begun to be sold externally, challenging Nvidia's dominance of the AI processor market. Google sells them in "pods" -- server racks taller than a person that connect thousands of chips into a single computing system. "AI chips are some of the most valuable goods ever produced," said a senior banker close to the deals. "It's a scale like we've never seen before because it's a product we've never seen before." Surging demand from Anthropic has required a sprawling financing operation to support sales to a start-up without a credit rating. To support that expansion, Google, Broadcom and Wall Street investors have each taken on different pieces of the financial risk. Google, which is also an investor in Anthropic, guarantees the data centres. Broadcom commits to buying the chips and helps finance them. Apollo and Blackstone provide much of the private-credit capital that purchases the hardware before leasing it to Anthropic. "This is each of us putting our balance sheet to work," said a Google executive involved in the effort. "We're doing it on the data centre side, [Broadcom's] doing it on the chip side." The web of contracts underpinning these arrangements adds up to about $200bn, with roughly four-fifths tied to the chips themselves, making it one of the largest infrastructure financings ever assembled. A programme of that size posed a problem: none of the companies involved wanted to carry tens of billions of dollars of AI chips on their balance sheets. Google, which is already funding record capital spending, would prefer not to add them. So Broadcom agreed to buy the AI hardware from it. But Broadcom, too, would rather deploy its capital elsewhere. "Broadcom is the financing provider, but they don't want to be in the financing business," said one person familiar with the effort. That challenge produced an unusual solution. Morgan Stanley helped arrange a private-credit vehicle, funded by outside investors, that buys the chips and leases them to Anthropic in an adaptation of the vendor-financing model Boeing and GE built to sell aircraft and engines. In June, the first tranche of TPU hardware passed from Google through Broadcom into this financing blender. A special-purpose vehicle known as Compute SPV paid $35bn for roughly 1GW of the AI hardware, representing around 1mn TPUs, according to people familiar with the matter. The SPV's cash came from three tranches of debt anchored by Apollo and Blackstone. Broadcom, in effect, guaranteed the two senior tranches by agreeing to cover any shortfall if Anthropic stopped paying and the SPV could not sell the hardware for enough to make the senior investors whole. The arrangement, known as residual value support, covers about $30bn of the $35bn financing, with Broadcom's exposure declining as Anthropic makes its lease payments. That structure is the template that is expected to finance TPUs worth hundreds of billions more. The largest deal yet came together in April when Google agreed to sell another 3.5GW of TPU hardware to Broadcom for deployment by Anthropic. Broadcom's filings disclose $128bn of purchase commitments, with $55.2bn of deliveries scheduled for its 2027 fiscal year and $72.9bn for 2028. People familiar with the arrangements said those commitments relate almost entirely to its agreed purchase of 3.5GW of TPU hardware from Google. Financing the chips solved only half of Google's problem. The company also needed enough powered data centres to house them. "We have a schedule and we're looking for capacity that will fit the schedule," the Google executive said. "Crypto miners with excess capacity were helpful." It has helped transform several crypto miners with secured power into a new breed of AI infrastructure developers, with a small outfit called TeraWulf the first to land a Google backstop to add a 360MW data centre on its campus in upstate New York. Google guaranteed the lease payments on the Anthropic-bound site, which Morgan Stanley packaged into a construction bond that in October raised $3.2bn to get it built. In return for the backstop, Google took penny warrants that gave it a stake in TeraWulf. Google's team rapidly replicated this approach in the following months, helping crypto miners like Cipher Digital and Hut 8 build data centres in Texas and Louisiana. The FT identified five projects with 1.4GW of power, which have raised $15bn of debt with the support of Google's backstop. People familiar with the matter said the Big Tech company had so far backstopped 10 developments with 2.4GW of power for TPUs. Google's guarantees put it on the hook for as much as $44bn if all the leases go bad, though it marks the liability at $815mn on its balance sheet. It could also step into the leases itself. The Google team is now racing to put together additional data centre projects with enough power to ultimately house all of the 4.5GW of TPU hardware they've agreed to sell. "We're spending a lot of time on [power] right now -- all of our time," said the Google executive. By this spring, Google's financial heft had already begun to reshape the economics of AI infrastructure. Data centre projects backed by Google borrowed at a median rate of 7.1 per cent, compared with 9.3 per cent for the neocloud operators building around Nvidia's chips. Jefferies analysts called this gap "a structural cost-of-capital disadvantage" for those in Nvidia's orbit. For Google's project, the risk is big if concentrated: $200bn of contracts tied to Anthropic's ability to pay its chip and data centre leases. It is one piece of a larger dilemma, with demand across the industry resting on a handful of large hyperscalers and frontier AI labs. "There's a whole world that's been built underneath those companies, and if their appetite to invest decreases, all of it sees a slowdown," said Jefferies analyst Jonathan Petersen. "That's the big macro risk."
[2]
Google Trails NVIDIA in AI Chip Sales, yet a Broadcom-Backed Pivot Could Unlock $252 Billion
In a fresh report, Bank of America claims that Google can earn as much as $252 billion in sales of its tensor processing units (TPUs) by shifting its business model. Google's TPUs are among the most widely used custom AI chips in the industry, and BofA believes that the firm can further expand its platform by entering into joint ventures with asset managers Blackstone and Apollo Global, as well as chip designer Broadcom. BofA Estimates Healthy Revenues But Limited Profit From Google's TPU Off-Platform Merchant Model Google's TPUs are among the oldest AI chips in the market, and unlike NVIDIA, which sells its products to data center firms such as CoreWeave, the firm offers the TPUs through its Google Cloud business. Google's second-quarter earnings saw revenue from the Cloud business grow by a whopping 82% annually to touch $24.8 billion. The firm had made inroads into the AI computing infrastructure race before ChatGPT's public release. Google started using its in-house AI processors in 2015 to beat Amazon to the punch by three years. It made the TPUs available to external customers in 2018, with analysts from D.A. Davidson outlining in September last year that the business could be worth $900 billion. Now, a report from Bank of America claims that Google can generate as much as $252 billion from shifting its TPU business from Google Cloud to an off-platform merchant model. This model should likely see Google create joint ventures with asset managers Apollo Global and Blackstone, along with custom AI chip designer Broadcom, to outsource TPU capacity and enable the combined entity to offer the chips for computing capacity. Such a move could lead to Google operating 11.5 gigawatts of TPU capacity, says the report, to generate the aforementioned revenue. The figures are estimates of 2028, and the report considers Google's joint ventures with Blackstone and others. The Blackstone deal was announced in May this year, through which the TPUs will be used to offer compute-as-a-service, or CaaS. However, the heavy lifting will be done by Google's joint venture with Apollo and Blackstone, says the report. In June, Apollo and Blackstone led a $35 billion AI infrastructure funding platform with Broadcom to deploy the TPUs. As per BofA's estimates, the deal could contribute $20 billion to Google's revenue by the year's end and grow the contribution to $67 billion in 2027 courtesy of 3.2 gigawatts of deployed TPU capacity. Follow Wccftech on Google to get more of our news coverage in your feeds.
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Google has assembled one of the largest infrastructure financing programmes in history—worth roughly $200 billion—to sell Tensor Processing Units to Anthropic. The effort brings together Broadcom, Apollo, Blackstone, and Morgan Stanley in a web of transactions spanning chip manufacturing to data centre development, potentially unlocking $252 billion in TPU revenue by 2028.
Google has built one of the largest infrastructure financing programmes ever assembled, worth approximately $200 billion, to sell more than $150 billion of AI chips destined for Anthropic
1
. The sprawling effort brings together Google, Broadcom, Apollo, Blackstone, Morgan Stanley, and even crypto miners in a complex web of transactions that stretches from AI chip production to AI data centers development. These arrangements reveal how Big Tech is creating funding models for AI infrastructure that reach far beyond traditional corporate spending and tie more of the financial system to the industry's growth.At the centre of this infrastructure financing sits Google's Tensor Processing Units, or TPUs—AI chips the company has co-developed with Broadcom since 2016. Once used largely inside Google's own AI data centers, these AI chips have begun to be sold externally, challenging Nvidia's dominance of the AI processor market
1
. Google sells them in "pods"—server racks taller than a person that connect thousands of chips into a single computing system. "AI chips are some of the most valuable goods ever produced," said a senior banker close to the deals. "It's a scale like we've never seen before because it's a product we've never seen before."
Source: Wccftech
Surging demand from Anthropic required a sprawling financing operation to support sales to a start-up without a credit rating. To support that expansion, Google, Broadcom, and Wall Street investors each took on different pieces of the financial risk. Google, which is also an investor in Anthropic, guarantees the AI data centers. Broadcom commits to buying the AI chips and helps finance them. Apollo and Blackstone provide much of the private-credit capital that purchases the hardware before leasing it to Anthropic
1
."This is each of us putting our balance sheet to work," said a Google executive involved in the effort. "We're doing it on the data centre side, [Broadcom's] doing it on the chip side." The web of contracts underpinning these arrangements adds up to about $200 billion, with roughly four-fifths tied to the chips themselves, making it one of the largest infrastructure financings ever assembled.
None of the companies involved wanted to carry tens of billions of dollars of AI chips on their balance sheets. Google, which is already funding record capital spending, would prefer not to add them. So Broadcom agreed to buy the AI hardware from it. But Broadcom, too, would rather deploy its capital elsewhere. "Broadcom is the financing provider, but they don't want to be in the financing business," said one person familiar with the effort
1
.That challenge produced an unusual solution. Morgan Stanley helped arrange a private-credit vehicle, funded by outside investors, that buys the chips and leases them to Anthropic in an adaptation of the vendor-financing model Boeing and GE built to sell aircraft and engines. In June, the first tranche of TPU hardware passed from Google through Broadcom into this financing blender. A special-purpose vehicle known as Compute SPV paid $35 billion for roughly 1GW of the AI hardware, representing around 1 million TPUs
1
.The SPV's cash came from three tranches of debt anchored by Apollo and Blackstone. Broadcom, in effect, guaranteed the two senior tranches by agreeing to cover any shortfall if Anthropic stopped paying and the SPV could not sell the hardware for enough to make the senior investors whole. The arrangement, known as residual value support, covers about $30 billion of the $35 billion financing, with Broadcom's exposure declining as Anthropic makes its lease payments.
That structure is the template expected to finance Tensor Processing Units worth hundreds of billions more. The largest deal yet came together in April when Google agreed to sell another 3.5GW of TPU hardware to Broadcom for deployment by Anthropic. Broadcom's filings disclose $128 billion of purchase commitments, with $55.2 billion of deliveries scheduled for its 2027 fiscal year and $72.9 billion for 2028. People familiar with the arrangements said those commitments relate almost entirely to its agreed purchase of 3.5GW of TPU hardware from Google
1
.Financing the chips solved only half of Google's problem. The company also needed enough powered AI data centers to house them. "We have a schedule and we're looking for capacity that will fit the schedule," the Google executive said. "Crypto miners with excess capacity were helpful." This has helped transform several crypto miners with secured power into a new breed of AI infrastructure developers, with a small outfit called TeraWulf the first to land a Google backstop to add a 360MW data centre on its campus in upstate New York. Google guaranteed the lease payments on the Anthropic-bound site, which Morgan Stanley packaged into a construction bond that in October raised $3.2 billion to get it built
1
.Related Stories
Bank of America claims that Google can earn as much as $252 billion in sales of its Tensor Processing Units by shifting its business model
2
. Google's TPUs are among the most widely used custom AI chips in the industry, and BofA believes the firm can further expand its platform by entering into joint ventures with asset managers Blackstone and Apollo Global, as well as chip designer Broadcom.Google's TPUs are among the oldest AI chips in the market, and unlike Nvidia, which sells its products to data center firms such as CoreWeave, the firm offers the TPUs through its Google Cloud business. Google's second-quarter earnings saw revenue from the Cloud business grow by a whopping 82% annually to touch $24.8 billion
2
. The firm had made inroads into the AI computing infrastructure race before ChatGPT's public release. Google started using its in-house AI processors in 2015 to beat Amazon to the punch by three years. It made the TPUs available to external customers in 2018.A report from Bank of America claims that Google can generate as much as $252 billion from shifting its TPU business from Google Cloud to an off-platform merchant model. This model should likely see Google create joint ventures with asset managers Apollo Global and Blackstone, along with custom AI chip designer Broadcom, to outsource TPU capacity and enable the combined entity to offer the chips for computing capacity. Such a move could lead to Google operating 11.5 gigawatts of TPU capacity by 2028 to generate the aforementioned revenue
2
.The heavy lifting will be done by Google's joint venture with Apollo and Blackstone, says the report. In June, Apollo and Blackstone led a $35 billion AI infrastructure funding platform with Broadcom to deploy the TPUs. As per BofA's estimates, the deal could contribute $20 billion to Google's revenue by the year's end and grow the contribution to $67 billion in 2027 courtesy of 3.2 gigawatts of deployed TPU capacity
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. This shift positions Google to compete more directly in the AI processor market while leveraging financial partners to manage balance sheet risk and accelerate deployment at unprecedented scale.Summarized by
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