OpenAI and Anthropic are moving in parallel to build new enterprise AI distribution engines, teaming up with some of the world's largest asset managers to accelerate adoption of their models and unlock commercial returns ahead of potential IPOs.
Within hours of each other, the two rivals unveiled similarly structured joint ventures designed to embed artificial intelligence deeper into corporate operations. The timing underscores a shift in strategy: after years of heavy spending on model development, leading AI labs are now focused on converting demand into scalable revenue streams. According to Bloomberg, OpenAI has raised more than US$4 billion for a new venture focused on helping businesses deploy its AI software, while Anthropic is forming a comparable entity with major financial partners.
OpenAI's initiative, referred to as "The Deployment Company," has attracted investors including TPG, Brookfield Asset Management, Advent, and Bain Capital. The venture is valued at about US$10 billion, with OpenAI retaining majority control. Additional partners include Dragoneer Investment Group and SoftBank, alongside consulting firms expected to support enterprise rollout.
Anthropic, meanwhile, is forming a competing venture with Blackstone, Hellman & Friedman, and Goldman Sachs as founding partners, alongside backing from Apollo Global Management, General Atlantic, GIC, Leonard Green, and Sequoia Capital. TechCrunch reported that the new entity carries a valuation of around US$1.5 billion, supported in part by US$300 million commitments from each of its core partners.
Enterprise AI distribution model
Despite differences in scale, the underlying model is nearly identical. Both ventures are designed to channel AI tools into the portfolio companies of their financial backers, giving the AI providers preferential access to thousands of corporate clients while enabling investors to capture upside from deployment-driven revenue.
OpenAI's partners alone are said to have relationships spanning more than 2,000 companies, creating a ready-made pipeline for adoption. Anthropic is targeting a similarly broad base of mid-sized enterprises, aiming to integrate its Claude models into operational workflows across industries.
The approach reflects a growing recognition that technical capability alone is no longer the bottleneck. Adoption — particularly outside the tech sector — has become the critical challenge.
Forward-deployed engineer model
Central to both strategies is the expansion of so-called forward-deployed engineers (FDEs), a model popularised by Palantir. These engineers work directly with clients, embedding alongside internal teams to customise AI tools and align them with existing processes.
Anthropic has framed this as a hands-on engagement model, where engineering teams collaborate with frontline staff — from clinicians to IT departments — to build applications tailored to real-world workflows. The goal is to fit AI tools into existing enterprise processes rather than forcing operational change.
OpenAI is pursuing a similar path, with internal restructuring to support the effort. COO Brad Lightcap has shifted into a role overseeing special projects, including enterprise sales initiatives tied to the new venture.
AI monetisation shift
The twin launches highlight a broader transition in the AI sector. After a period defined by rapid model scaling and record fundraising, the competitive focus is shifting toward monetisation and enterprise penetration.
Both companies are raising capital at unprecedented levels. OpenAI recently secured US$122 billion in funding. Anthropic, meanwhile, is seeking up to US$50 billion at a potential US$900 billion valuation. Against that backdrop, demonstrating sustainable revenue growth has become increasingly urgent.
Strong demand for AI-powered coding tools has provided an early foothold, but both companies are now pushing into sectors such as financial services and healthcare — areas with larger budgets but more complex integration requirements.
By aligning with private equity and asset managers, OpenAI and Anthropic are effectively outsourcing part of that integration challenge. They are leveraging existing corporate networks to scale deployment faster than traditional sales models allow.
The result is a new phase in the AI race: less about who builds the most powerful model, and more about who can embed it most deeply — and profitably — across the global economy.
Article edited by Jerry Chen