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Anthropic, Blackstone back $1.5b AI venture
Anthropic is finalizing a roughly US$1.5 billion joint venture with Blackstone, Goldman Sachs, and other Wall Street firms to sell AI tools to private-equity-backed companies.
Anthropic, Blackstone, and Hellman & Friedman, a US private equity firm, would anchor the venture and invest about US$300 million each.
Goldman Sachs is also expected to join as a founding investor with about US$150 million.
🔗 Source: Reuters
🧠 Food for thought
Implications, context, and why it matters.
Anthropic’s size helps explain its private equity joint venture talks
- The proposed joint venture would give Anthropic a sales and rollout arm for private-equity-backed companies at scale. Its annualized revenue recently passed US$3 billion 1.
- In 2025, Anthropic’s run-rate revenue climbed from about US$1 billion to more than US$5 billion within eight months 2.
- Anthropic already sells to big companies. More than 500 customers now spend over US$1 million a year, and eight of the Fortune 10, the 10 biggest companies in the Fortune rankings, use Claude, Anthropic’s AI assistant 3.
- That pace is putting pressure on Anthropic’s infrastructure. The company plans to spend more than US$100 billion on Amazon Web Services, Amazon’s cloud computing platform, over the next decade to meet demand 1.
Private equity could speed up change in enterprise software
- The venture could create tension for diversified private equity firms because portfolio companies, the businesses they own or control, may end up competing with each other 4.
- Blackstone, for instance, could use Anthropic’s AI to build custom tools at its manufacturing or healthcare companies. That could cut costs while replacing software licenses from software as a service (SaaS) vendors that Blackstone or other private equity firms may own 4.
- Private equity firms tend to look at returns across the whole fund rather than one portfolio company. They may accept losing a software customer when the savings across the wider portfolio are larger 4.
- These firms can require technology adoption. A replacement cycle that often takes five years at a typical company could shrink to about 18 months, which would shake up enterprise software faster 4.




