Anthropic announced on May 4 that it is forming a roughly $1.5 billion joint venture with Blackstone, Hellman & Friedman, and Goldman Sachs to launch a new enterprise AI services firm. Anthropic, Blackstone, and Hellman & Friedman are anchoring the deal at about $300 million each, with Goldman Sachs putting in around $150 million. General Atlantic, Apollo, Leonard Green, Singapore's GIC, and Sequoia Capital are also backing the venture. The target customer is the portfolio company — the thousands of mid-market businesses owned by these firms' private-equity arms.
The structure is the news, not the dollar figure. Instead of selling Claude API seats, the venture will embed Anthropic engineers directly inside customer operations to redesign workflows, build internal agents, and run the change-management work that consultants have historically owned. PE backers bring distribution at scale; Anthropic brings the model and the engineers. The economics — which neither side has disclosed in detail — appear designed to share AI-driven margin expansion at the portfolio-company level, not to charge a flat services fee.
This is the second of two near-identical announcements in 24 hours. OpenAI also confirmed a $4 billion raise for its own venture, The Deployment Company, backed by TPG, Bain, Brookfield, and Advent at a $10 billion valuation. Both deals signal that the frontier labs view consulting — a roughly $1 trillion global market — as the next layer to capture, and that PE is the fastest path to thousands of installed customers without long enterprise sales cycles. McKinsey, BCG, Accenture, and the Big Four now have AI-native competitors with direct lines to the chief investor at every one of their target accounts.
Takeaway for learners: the consulting industry has been one of the most-discussed targets for AI disruption since 2023, but the disruption is not arriving as a chatbot replacing a slide deck. It is arriving as a joint venture with the people who own the customer. If you are early in your career and considering consulting, the question is no longer whether AI changes the job — it is whether you'd rather work for a frontier lab's deployment arm or a firm that is now competing with one.