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Private equity has become the most consequential distribution channel in enterprise AI, and the three leading labs are attacking it with fundamentally different strategies.

Bloomberg reported on May 5–6 that Alphabet is in talks with Blackstone, KKR, and EQT to give their combined portfolio access to Google’s Gemini models and AI infrastructure under omnibus licensing agreements. The discussions are non-exclusive and no deals have been finalised. Representatives for all four companies declined to comment.

The talks come days after OpenAI announced it had raised over $4 billion from TPG, Brookfield Asset Management, Advent International, and Bain Capital to form a consulting venture that will embed engineers inside portfolio companies helping them adopt its AI software. One day later, Anthropic announced a comparable $1.5 billion joint venture with Blackstone, Hellman and Friedman, and Goldman Sachs with the same implementation-first model.

Google is proposing something structurally different.

Platform vs. Services

The distinction is not cosmetic. OpenAI and Anthropic are building consulting businesses. They hire engineers, enter individual integration contracts typically ranging from $1 million to $10 million each, and generate ongoing revenue tied to deployment success. Each portfolio company goes through its own adoption process, managed by the JV team.

Google’s model skips that. An omnibus licensing agreement places the commercial decision at the GP level — the private equity firm itself signs a portfolio-wide arrangement that gives every operating business access to Gemini under a single commercial wrapper. Implementation is then handled by the consulting ecosystem Google has separately financed: a $750 million partner fund across Accenture, Deloitte, KPMG, PwC, and NTT DATA, which already serve Blackstone and KKR portfolio companies.

Google Cloud head Karthik Narain was direct about the strategic logic after the firm signed an earlier deal with Vista Equity Partners in April: “Honestly speaking, even Google does not have those customers. The bigger technology companies have ignored that customer base.”

The Scale of the Opportunity

The numbers make the urgency legible. Blackstone manages over $1 trillion in assets with stakes in more than 200 companies globally across healthcare, logistics, technology, real estate, and financial services. KKR adds comparable breadth across different verticals. EQT manages approximately €130 billion. A portfolio-wide agreement with all three simultaneously opens more enterprise AI deployments than Google’s direct sales force could replicate through individual account selling in years.

For private equity firms, the driver is defensive. Software companies have been among the hardest-hit categories in the AI disruption era. Sponsors with large technology portfolios are under active pressure from LPs to demonstrate their holdings are AI-ready rather than AI-threatened. Portfolio-wide AI mandates have become a standard operating partner initiative.

The Blackstone Paradox

The competitive dynamics are complicated by the fact that Blackstone sits on both sides. It is a founding investor in Anthropic’s $1.5 billion consulting JV. It is simultaneously in talks with Google over omnibus Gemini licensing. It also has investment stakes in both OpenAI and Anthropic through its Blackstone N1 West Coast division, created earlier this year exclusively for AI and high-growth technology investments.

Blackstone is not choosing one AI provider. It is positioning itself as a distribution channel for all of them — extracting value from inter-lab competition rather than committing to a single platform. Thoma Bravo managing partner Seth Boro described the same posture: “We have great relationships with OpenAI, with Anthropic. We have ongoing discussions all the time.”

The Strategic Bet

Google Cloud crossed $20 billion in quarterly revenue for the first time in Q1 2026, growing 63%, with its cloud backlog nearly doubling to over $460 billion. Revenue from products built on generative AI grew nearly 800% year-on-year. Alphabet is negotiating from the position of a platform with 750 million Gemini users and an established consulting channel.

The omnibus licensing model trades implementation margin for distribution speed. If it works, Google gains simultaneous access to thousands of enterprise companies across every major industry vertical at once. If it does not — if Gemini requires more hand-holding than the platform model allows — OpenAI and Anthropic’s consulting approach may prove the more durable enterprise architecture.

The history of enterprise technology suggests platforms eventually win. That outcome requires the product to be good enough to deploy without hand-holding at scale. Google is betting it is. The deals have not been signed.