Google

Google is negotiating omnibus licensing agreements with Blackstone, KKR, and EQT to give their portfolio companies access to Gemini AI models, treating private equity as a distribution channel for enterprise AI. The approach contrasts with OpenAI and Anthropic, which are building dedicated consultancy entities that embed engineers in portfolio companies. Google's strategy focuses on platform licensing rather than services, leveraging a $750 million partner fund and existing consulting relationships with Accenture, Deloitte, and others. Blackstone already has stakes in OpenAI, Anthropic, and CoreWeave, positioning itself as a distribution hub for multiple AI labs rather than committing to any single provider. The race to capture PE-controlled mid-market companies reflects AI's shift from one-off pilots to portfolio-wide deployments.

Wall Street's AI financing machine is hitting capacity constraints. Alphabet's $17 billion bond sale was still being priced when the company started hawking additional debt, forcing underwriters to consider overseas markets to absorb the supply. The scale and clustering of AI infrastructure debt is straining even investment-grade credit markets as hyperscalers rush to fund data centers, chips and power systems. When the highest-quality borrower in tech needs to diversify funding sources, it signals the domestic corporate bond market is approaching saturation on AI-related issuance.

Google is negotiating omnibus agreements with Blackstone, KKR, and EQT to distribute AI models across their portfolio companies, turning private equity into the most powerful distribution channel for enterprise AI. The deals would standardise access to Gemini and other Google models across hundreds of mid-market companies, bypassing traditional enterprise sales cycles. Blackstone launched a dedicated AI division while Anthropic closed a $1.5 billion joint venture with PE partners to provide competing AI tooling. With Blackstone and KKR managing over $2 trillion combined, these partnerships could determine which AI models become the default for middle America's businesses.

Platform 37 references Move 37, the pivotal AlphaGo play that stunned the Go world in 2016 and marked AI's leap beyond human intuition. Google DeepMind and Google teams move into the landmark building this summer, with a public-facing AI Exchange opening later this year for educational programming and cultural events as company announcements confirm. The naming strategy positions London as Google's AI narrative hub, not just a research outpost. King's Cross has transformed from a derelict railway district into Europe's most concentrated tech cluster, and Google's investment signals confidence that London can compete with Silicon Valley and Shenzhen for AI talent despite Brexit and regulatory uncertainty.

OpenAI will start selling ads inside ChatGPT responses within days, marking its first serious revenue diversification beyond subscriptions. The move puts it in direct competition with Google's $307 billion search ad business. Early tests show users clicking through at rates 40 percent higher than traditional search ads, according to industry sources. If OpenAI can maintain that engagement advantage, it could claim a meaningful slice of the £50 billion UK digital advertising market by 2026.

Anthropic committed $21 billion to Broadcom for nearly one million Google-designed TPU v7p AI chips, delivered as fully assembled rack systems for direct data center deployment. The deal bypasses Google as an intermediary and forms part of Anthropic's broader $10 billion commitment to Google's TPU infrastructure as the Claude maker scales from $1 billion to $7 billion in annualized revenue in nine months. Broadcom CEO Hock Tan is targeting $100 billion in AI chip revenue by 2027, positioning the company as a key alternative to Nvidia's GPU dominance through custom silicon partnerships.