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The direction

Where the AI race is heading

AI competition is moving away from frontier models alone toward control of the stack that turns models into governed execution. That shift is being carried by agent environments tied to enterprise identity, data, workflow, security, and everyday work surfaces, and by model access that is increasingly routed through managed clouds, compatibility layers, owned product surfaces, and access controls. The infrastructure race underneath is widening into financing, datacenter capacity, packaging, custom silicon, and power. What is particular now is that controlled model access, cloud gatekeeper pressure in Europe, and gigawatt-scale buildout are tightening together, making control of execution a market-structure question as much as a technical one.

The move

What actors actually did

Claude becomes generally available in Microsoft Foundry as Google limits Meta’s Gemini access

Microsoft’s clearest new step came on June 29, when it made Anthropic’s Claude generally available in Microsoft Foundry on Azure. That gives Azure customers another major model to use in agent experimentation and production, not just Microsoft’s own stack.

Google, on June 28, imposed limits on Meta’s access to Gemini because of computing capacity constraints and signed a deal to rent additional cloud resources from SpaceX’s Starlink network. OpenAI on June 26 previewed GPT-5.6 Sol, a new flagship model, alongside Terra and Luna variants, with access limited to a small group of trusted partners.

Also on June 29, AWS Web Application Firewall became generally available for Amazon Bedrock AgentCore Gateway. On June 29, Google Cloud Spanner introduced a unified multi-model database supporting relational, vector, graph, key-value, and search capabilities for AI agent workflows. Microsoft, on June 25, released new AI-powered capabilities for finance professionals in Copilot in Excel.

Sources