Broadcom has agreed to provide up to $42 billion in financing to Anthropic as the artificial intelligence company prepares for a major expansion of its computing infrastructure, according to documents filed as part of Anthropic’s planned initial public offering.
The arrangement highlights the increasingly complex financial relationships developing around the AI industry. Broadcom is not only supplying technology to Anthropic but is also involved in equipment leasing and financing, giving the semiconductor company a significant role in supporting the AI developer’s infrastructure requirements.
Under the agreement, Broadcom can lend Anthropic as much as $42 billion to help fund infrastructure-related expenses. In return, Anthropic is expected to become Broadcom’s largest customer in its core chip-design business next year.
The arrangement is part of Anthropic’s broader commitment to securing computing capacity. The company has agreed to spend about $125.2 billion over five years to lease computing resources based on tensor processing units, or TPUs. The convertible notes associated with Broadcom’s financing could cover roughly one-third of that commitment.
Broadcom may also nominate a financing partner under the agreement, while the debt instruments issued by Anthropic could potentially be converted into shares of the AI company. Anthropic said in its filing that it does not expect any of the notes to be sold before its IPO is completed.
Anthropic has also expanded its relationship with Google and Broadcom around next-generation TPU technology. The company announced in April that it would gain access to multiple gigawatts of TPU computing capacity beginning in 2027. Google and Broadcom have worked together on several generations of the chips.
The financing arrangement illustrates how chipmakers are increasingly supporting the AI companies that purchase their technology. Broadcom’s approach follows a strategy also pursued by Nvidia, which has used its financial resources in recent years to support demand for its chips.
The scale of the commitments has also drawn scrutiny from investors concerned about whether future AI revenues will be sufficient to support the industry’s rapidly expanding financing obligations.
