EQT Corporation

New York Stock Exchange
Bullish +75

Google is not building a consultancy. It is writing a licensing agreement. That may be the smarter play.

🤔 Alphabet is negotiating with Blackstone, KKR, and EQT to provide portfolio companies access to Gemini models via omnibus licensing agreements.

🔄 This strategy differs significantly from OpenAI's $10 billion Deployment Company and Anthropic's $1.5 billion joint venture which embed engineers directly into clients.

🎯 Google believes enterprise AI is a platform problem rather than a services problem, aiming for distribution speed over deep implementation control.

💼 OpenAI's model guarantees investors 17.5% annual returns with embedded teams to redesign workflows, creating high switching costs once integrated.

🏭 Anthropic is building an enterprise services firm that acts as both consulting arm and deployment factory to integrate Claude into core operations.

💰 Google has already committed $750 million to a partner fund financing deployments through existing consulting partners like Accenture and Deloitte.

📉 The licensing approach trades direct consulting revenue for broader distribution, prioritizing breadth over depth compared to competitors.

📈 Blackstone manages over $2 trillion in assets across thousands of companies, making it one of the largest potential new channels for Alphabet.

⚡ Google Cloud recently crossed $20 billion in quarterly revenue with a backlog doubling to $460 billion after beating Q1 estimates.

📉 Revenue from generative AI models grew nearly 800% year over year, positioning Alphabet as a strong platform player in negotiations.

🤝 The Blackstone situation is complex as they are an investor in Anthropic's joint venture while also being a potential customer for Google.

🔍 Deals with these firms are not exclusive and have not been finalised as of the Bloomberg report published on Monday.

⚖️ OpenAI and Anthropic bet on implementation bottlenecks requiring specialist engineers, whereas Google bets on procurement bottlenecks solvable by partners.

💹 EQT manages approximately 130 billion euros in assets, expanding the potential customer base for Google's licensing model.

🛠️ The omnibus licensing model allows an entire private equity firm's portfolio access to Gemini and Google Cloud infrastructure under one arrangement.

🏃‍♂️ Google is relying on an ecosystem of consulting partners it has already financed rather than building its own consulting operation directly.

Bullish Signals
  • Alphabet's market capitalisation surged past 4.6 trillion dollars following strong Q1 2026 earnings that beat estimates across every division.
  • Google Cloud achieved a major milestone by crossing 20 billion dollars in quarterly revenue for the first time, with growth of 63 per cent.
  • The cloud backlog nearly doubled to more than 460 billion dollars, indicating robust demand and expansion opportunities.
  • Revenue from products built on generative AI models grew nearly 800 per cent year on year, demonstrating explosive adoption.
  • Google has already committed 750 million dollars to a partner fund, securing relationships with top consulting firms like Accenture, Deloitte, KPMG, PwC, and NTT DATA to handle implementation.
  • Securing omnibus deals with Blackstone, KKR, and EQT would open the largest single new customer channel in Alphabet's history since Google Cloud launched.
  • Google holds a significant market position with 750 million Gemini users already in its ecosystem.
  • The company possesses a strong negotiating position as a platform that generated an average of 7.05 dollars for every dollar spent on Google Cloud by partners.
Risk Factors
  • Google's proposed omnibus licensing agreements with Blackstone, KKR, and EQT are non-exclusive discussions, meaning there is no guarantee these deals will be finalized.
  • Unlike OpenAI and Anthropic, Google is not embedding its own engineers or building a joint venture, which could limit implementation depth and make it harder to build high switching costs compared to competitors.
  • Google trades potential consulting revenue for distribution speed by relying on external partners like Accenture and Deloitte rather than an internal deployment team.
  • The model prioritizes breadth over depth, potentially resulting in lower margins per customer compared to the labor-intensive, high-margin joint venture approach taken by competitors.
  • OpenAI has committed up to 1.5 billion dollars of its own capital with a guaranteed 17.5% annual return structure, creating a significant financial advantage that Google may not match.
  • Blackstone is simultaneously an investor in Anthropic's venture and a potential customer for Google, creating direct competition within the same ecosystem.
  • Google Cloud's backlog has nearly doubled to 460 billion dollars, but this rapid growth could lead to revenue recognition pressures or implementation challenges if the supply of engineers cannot scale fast enough.
Full Analysis
Alphabet is currently in advanced talks with major private equity firms including Blackstone, KKR, and EQT to establish omnibus licensing agreements that would grant their vast portfolios of portfolio companies access to Google's Gemini AI models and Google Cloud infrastructure. This strategic move distinguishes Google from its primary competitors, OpenAI and Anthropic, who have opted to build massive joint venture consulting services—valued at ten billion dollars for OpenAI and 1.5 billion dollars for Anthropic—to embed their engineering teams directly inside client organizations. While the private equity land grab accelerates with Blackstone anchoring OpenAI’s joint venture and also participating in Anthropic's fund, Alphabet appears to be betting that enterprise AI adoption faces a procurement bottleneck rather than an implementation one, preferring to leverage its existing ecosystem of consulting partners like Accenture and Deloitte to handle integration rather than deploying its own engineers. The strategic implications of this approach center on scale versus depth; OpenAI and Anthropic model a labour-intensive, high-margin strategy focused on deep workflow redesign that creates significant switching costs once customers are onboarded, whereas Google aims to trade some consulting revenue for rapid distribution speed by layering its licensing offers over commercial wrappers already present in the financial sector. Blackstone notably occupies a dual role as an investor in Anthropic’s venture while simultaneously being a potential customer for Google’s omnibus model, highlighting the complex competitive dynamics where EQT, managing approximately 130 billion euros, joins Blackstone and KKR, which manage combined assets exceeding two trillion dollars, representing one of the largest potential new customer channels in Alphabet's history. The urgency and confidence behind this push are underscored by recent financial strength reported for Alphabet, with market capitalisation surpassing 4.6 trillion dollars following Q1 2026 earnings that beat estimates across all divisions. Google Cloud itself has demonstrated robust growth, crossing 20 billion dollars in quarterly revenue with a 63 per cent increase and a backlog that has nearly doubled to over 460 billion dollars, while revenue from generative AI products grew nearly 800 per cent year on year. This financial position allows Alphabet to negotiate from strength, offering 750 million dollars in committed capital through its partner fund to support agentic AI deployments, effectively positioning itself as a dominant platform rather than just another vendor seeking entry into the enterprise market.