APOLLO, BLACKSTONE BACK $36B CHIP DEAL FOR ANTHROPIC

Apollo Global Management and Blackstone are structuring a roughly $36 billion debt financing deal designed to help Anthropic purchase Google chips needed for its artificial intelligence operations. The two firms are actively seeking additional investors to participate in the arrangement. The debt package represents a significant capital deployment for AI infrastructure as Anthropic scales its computational capacity. Google chips—likely referring to the company's custom-built TPU (Tensor Processing Unit) accelerators—have become critical components for training and running large language models. The financing announcement follows Anthropic's recent $65 billion Series H funding round, which valued the AI startup at $965 billion post-money. The valuation positions Anthropic among the most valuable private companies globally and signals investor confidence in the company's trajectory ahead of an anticipated IPO. Anthropiс, founded by former OpenAI executives and backed by major investors including Google, has rapidly expanded its infrastructure requirements as demand for its Claude AI assistant grows. The company faces intense competition from OpenAI, which has secured substantial backing from Microsoft, and other AI rivals racing to build advanced large language models. The debt financing structure allows Anthropic to fund infrastructure expansion without further diluting existing shareholders before a potential public offering. By securing debt rather than equity, the company preserves ownership stakes for current investors while accessing the capital needed for computational resources. Industry observers view large-scale infrastructure financing as increasingly necessary for AI companies. The computational demands of training frontier AI models require billions in hardware investment, and debt markets have become a practical avenue for funding these expenditures alongside venture and growth equity. The deal's completion would give Anthropic a substantial portion of the capital required to compete in an AI arms race where computational power directly influences model capability and market position.