Broadcom lines up $60 billion financing package to fund AI chips for Anthropic

### Broadcom Reportedly Assembles $60 Billion Financing Package for Anthropic AI Infrastructure

Broadcom is reportedly putting together a $60 billion financing package to support artificial intelligence chips and computing infrastructure for Anthropic and other AI companies, as demand for large-scale computing capacity continues to accelerate.

According to a Bloomberg report citing people familiar with the matter, Broadcom’s banking syndicate is arranging the financing. The proposed package would include $42 billion in Class A senior secured debt and an additional $18 billion Class B junior debt tranche led by Blackstone.

Blackstone is expected to contribute $9 billion of its own capital and arrange the remaining portion of the junior debt with other investors, according to the report.

The financing has not been formally announced, and Broadcom and Anthropic have declined to comment on the reported transaction.

The potential deal comes as AI companies commit enormous sums to secure the computing power needed to train and operate increasingly sophisticated models. Anthropic, the developer of the Claude AI platform, has become one of the largest customers seeking advanced chips, data-center capacity and other computing infrastructure.

Broadcom is an important supplier in this ecosystem, providing technology used to build specialized AI computing systems. The company has also been working to expand its position in the market for custom AI accelerators as it competes with Nvidia and other semiconductor companies.

Anthropic’s recent IPO filing indicates that Broadcom has agreed to provide up to $42 billion in financing to support the AI company’s infrastructure expansion.

The arrangement would allow Anthropic to lease computing capacity based on tensor processing units, or TPUs, which are specialized processors designed for AI workloads.

Anthropic has committed to spending approximately $125.2 billion over five years on computing capacity, highlighting the enormous infrastructure requirements associated with developing and operating its AI models.

Under the reported financing structure, Broadcom could designate a financing partner, while certain debt instruments could potentially be converted into shares of Anthropic.

The scale of the proposed financing has raised questions about how much debt the rapidly expanding AI infrastructure sector can support as companies continue investing ahead of anticipated demand.

Robert Leitao, managing partner at Rothschild & Co., said the financing environment reflects a concentrated bet on a small number of AI companies being able to generate sufficient revenue to support the large amounts of capital being committed to infrastructure.

The latest financing would also build on a $35 billion partnership involving Broadcom, Blackstone and Apollo announced earlier this year to expand Anthropic’s access to computing capacity.

Broadcom, meanwhile, is seeking to strengthen its position in the AI semiconductor market as it challenges Nvidia’s leadership in supplying chips and networking technology for AI data centers.

The semiconductor company has projected $115 billion in AI semiconductor revenue for fiscal 2027 and $230 billion for fiscal 2028, reflecting its expectations for continued rapid growth in AI-related demand.

The proposed $60 billion financing package has reportedly been in development for several weeks and is being closely watched by investors because of its size and its connection to the broader expansion of AI infrastructure.

Large financing arrangements have become increasingly important as AI developers, cloud providers and infrastructure companies race to build data centers and secure specialized computing hardware.

At the same time, the rapid expansion of AI data centers has faced growing scrutiny over electricity consumption, water use, construction costs and local opposition to new facilities.

If completed, the Broadcom-led financing could become another major test of investor appetite for funding the infrastructure required to support the next phase of AI development.

It would also further link semiconductor suppliers, private-equity firms, banks and AI model developers in a capital-intensive ecosystem that is becoming increasingly central to the technology industry.