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Anthropic and OpenAI Turn to Wall Street to Scale Enterprise AI Services

New AI services ventures point to a more hands-on phase of enterprise adoption, where capital, integration teams and portfolio access matter as much as models.

Two of the most watched AI labs are moving beyond the usual software-sales playbook. According to TechCrunch, Anthropic announced a new enterprise AI services joint venture with Blackstone, Hellman & Friedman and Goldman Sachs as founding partners, while OpenAI is reportedly preparing a similar vehicle called The Development Company.

The structure is notable because it pairs frontier-model vendors with investors that already have deep relationships across corporate America. TechCrunch reported that Anthropic’s venture was valued at about $1.5 billion, including major commitments from Anthropic, Blackstone and Hellman & Friedman. OpenAI’s planned vehicle is described as larger, with reported fundraising of $4 billion against a $10 billion valuation and participation from asset managers including TPG, Brookfield, Advent and Bain.

For customers, the pitch is not simply “buy access to a better chatbot.” These ventures appear designed to provide implementation capacity: engineers and operators who can sit with companies, understand messy workflows and turn model capability into production systems. That resembles the forward-deployed engineering model popularized by Palantir, but aimed at the new class of AI agents, internal copilots and workflow automation tools.

Why it matters

Enterprise AI has been slowed less by model demos than by integration reality. Data access, compliance reviews, identity controls, employee training and change management all sit between a promising pilot and a useful deployment. By aligning with private-equity and asset-management networks, AI labs may get faster routes into portfolio companies and more leverage to standardize repeatable use cases.

The strategy also raises competitive questions. If the biggest AI labs build privileged service channels with powerful investors, smaller AI vendors and traditional systems integrators may face a tighter market for large transformation deals. The next phase of enterprise AI could be won not only by the best model, but by whoever can package models, capital and implementation into one credible operating plan.

Source: TechCrunch, published May 4, 2026.

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