Apollo and Blackstone pursue $36 billion debt financing for Anthropic

Apollo Global Management and Blackstone are reported to be looking for financing partners to underwrite a $36 billion debt arrangement that would be used to purchase artificial‑intelligence chips for Anthropic, the AI research startup backed by Microsoft [2].

Key takeaways

• Apollo and Blackstone are structuring a multi‑billion‑dollar debt facility for Anthropic’s chip procurement [2].
• The total size of the proposed debt package is $36 billion [2].
• The financing is intended to support Anthropic’s development of advanced AI models that rely on specialized hardware [2].

Deal structure and participants

The report indicates that Apollo is seeking external partners to share in the $36 billion debt issuance, while Blackstone is also involved in the financing effort. Details on the specific terms, interest rates, or the identity of the prospective lenders have not been disclosed. The arrangement is aimed at securing the capital needed for Anthropic to acquire the high‑performance chips required for its next‑generation AI workloads.

Context for Anthropic’s chip needs

Anthropic, a fast‑growing AI research firm, has been expanding its compute capacity to train large language models. The company’s reliance on specialized AI processors has created a substantial capital requirement, prompting the pursuit of a large‑scale debt solution. By tapping the deep‑pocketed resources of Apollo and Blackstone, Anthropic hopes to lock in the hardware needed to stay competitive in the rapidly evolving AI market.

Why it matters

Securing a $36 billion debt facility would represent one of the largest financing deals focused on AI infrastructure, underscoring the escalating capital intensity of advanced AI development. If successful, the funding could accelerate Anthropic’s ability to deploy more powerful models, potentially reshaping competitive dynamics among AI firms. The involvement of major private‑equity investors also signals growing confidence in the long‑term profitability of AI‑focused hardware investments.