Anthropic is on the verge of sealing a roughly $1.5 billion joint venture with major financial players, bringing enterprise-grade artificial intelligence into private equity-backed companies. The deal, involving firms such as Blackstone and Goldman Sachs, reflects a growing push to commercialise AI at scale across traditional industries.
Anthropic is closing in on a $1.5 BILLION AI joint venture with major Wall Street firms (WSJ). The deal signals Big Finance doubling down on enterprise-grade AI beyond Big Tech.
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Wall Street backs enterprise AI expansion
According to a report by The Wall Street Journal, the platform will focus on integrating AI tools into key business functions such as finance, customer service, analytics, and operations. Anthropic, alongside Blackstone and Hellman & Friedman, is expected to contribute about $300 million each, while Goldman Sachs will reportedly join with a $150 million stake.
The collaboration shows a strategic alignment between AI developers and financial institutions eager to modernize their portfolio companies. By embedding AI into enterprise workflows, the venture aims to boost efficiency, cut costs, and unlock new growth opportunities across sectors.
Rising competition and infrastructure push
Anthropic’s momentum comes amid intensifying competition in the AI space. Rival OpenAI is reportedly exploring similar partnerships with private equity firms. The firm is finalizing a new business venture, internally named DeployCo, which is targeting a $10 billion valuation upon its expected closure in early May, with plans to invest up to $1.5 billion.
Investor interest in Anthropic has surged, influenced by strong demand for its enterprise-focused solutions. The company is said to be considering a new funding round that could push its valuation beyond $300 billion, with some estimates reaching as high as $900 billion. This has drawn attention from investors seeking early exposure to AI infrastructure and software.
Beyond software, Anthropic is also strengthening its hardware strategy. The company is in early discussions with Fractile to secure access to specialized inference chips. These chips are designed to run AI models more efficiently, reducing costs and improving performance as demand for compute power continues to rise.
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