Google is in discussions with Blackstone, KKR, and EQT regarding an omnibus licensing agreement for its Gemini AI, while OpenAI and Anthropic are developing consulting services.

      **Summary**: Alphabet is negotiating with Blackstone, KKR, and EQT to provide their portfolio companies access to Gemini models through omnibus licensing agreements. This strategy differs significantly from OpenAI's ten billion dollar Deployment Company and Anthropic's 1.5 billion dollar joint venture with Blackstone, both of which involve sending engineers into client organizations. Google believes that enterprise AI presents a platform challenge rather than a service one.

      OpenAI established a ten billion dollar consulting entity, while Anthropic created a 1.5 billion dollar consulting firm. In contrast, Google is pursuing a licensing agreement approach. This strategic difference may influence which AI lab successfully seizes the emerging enterprise distribution channel, which is comparable to the shift brought about by cloud computing.

      According to a Bloomberg report, Alphabet is in discussions with Blackstone, KKR, and the European private equity firm EQT to provide access to Google's Gemini AI models for their portfolio companies through omnibus licensing agreements. These discussions are preliminary, and no agreements have been finalized. However, the structure Google proposes is a stark departure from the initiatives of its main competitors, illustrating a distinct strategic perspective on the deployment of enterprise AI.

      The competition for AI in the private equity sector picked up pace recently, indicating that the leading AI laboratories see buyout firms more as distribution channels than as clients. OpenAI recently finalized the Deployment Company, a ten billion dollar joint venture backed by TPG and 19 other investors, offering a guaranteed 17.5% annual return over five years. OpenAI is investing up to 1.5 billion dollars of its own funds and maintaining control through super-voting shares. Its model follows Palantir's approach—deploying engineers directly within client organizations to optimize workflows in various sectors such as healthcare, logistics, manufacturing, and finance.

      On the same day, Anthropic disclosed plans for its own 1.5 billion dollar enterprise services firm in partnership with Blackstone, Hellman and Friedman, and Goldman Sachs, each contributing around 300 million dollars, alongside investment from General Atlantic, Leonard Green, Apollo, GIC, and Sequoia. This model will similarly involve integrating engineers into portfolio companies to incorporate Claude into essential business functions, essentially acting as a mix of consulting branch and deployment factory.

      Google's strategy diverges from these models. Instead of forming a joint venture and deploying a large workforce to client sites, Alphabet is working on licensing agreements that allow an entire private equity firm's portfolio access to Gemini models and Google Cloud AI under one commercial contract. This is not just a structural difference but reflects a fundamentally different belief regarding what enterprise AI clients genuinely require.

      OpenAI and Anthropic are focused on implementation as the main hurdle for enterprise AI adoption. Their initiatives assume that organizations need not just access to advanced models but also specialized engineering teams committed to process redesign, custom integrations, and managing the move from pilot projects to full-scale production. This approach is labor-intensive, high-margin, and slow to scale but can lead to long-term client retention through high switching costs.

      Conversely, Google sees procurement as the key obstacle. The company has already allocated $750 million to a partner fund facilitating AI deployments through consulting firms like Accenture, Deloitte, KPMG, PwC, and NTT DATA, which currently support the portfolio companies of Blackstone and KKR. The omnibus licensing model builds on this established network: instead of creating its own consulting operation, Google aims to provide a commercial framework enabling private equity firms' entire portfolios access to Gemini while relying on existing consulting partnerships for implementation. This method sacrifices consulting revenue for faster distribution, emphasizing broad access over deep integration.

      The potential of this opportunity is driving urgency. Blackstone and KKR collectively oversee assets exceeding two trillion dollars across a multitude of companies in various sectors, including healthcare, logistics, technology, real estate, and finance. EQT manages roughly 130 billion euros. If Google manages to secure omnibus agreements with all three firms, it would unlock the biggest new customer channel in Alphabet's history since the inception of Google Cloud.

      In context, Alphabet’s market capitalization surpassed 4.6 trillion dollars following Q1 2026 earnings that exceeded expectations across all sectors. Google Cloud achieved over 20 billion dollars in quarterly revenue for the first time, with a 63% growth rate and a backlog that nearly doubled to over 460 billion dollars. Revenue from products utilizing generative AI models surged by almost 800% year-over-year. The company is not negotiating from a disadvantage; it is doing so from a robust position, bolstered by 750 million Gemini users and a network of consulting partners that capture up to $7.05 for every dollar spent on Google Cloud.

      The competitive landscape is further complicated by Blackstone's dual role—it is both a founding investor in Anthropic's joint venture and a potential client of Google's licensing program. Moreover, Blackstone recently established Blackstone N1, a new division on the West Coast focused exclusively on AI and high-growth technology investments,