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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 regulation is reaching more directly into cloud structure just as enterprise operating layers and physical power systems harden, so control of execution is becoming a market-design question as well as a technical one.

The move

What actors actually did

Microsoft expands datacenter and power infrastructure as Copilot gains finance capabilities

The most significant movement this week came from Microsoft, which announced on June 22 a major capacity expansion with a new datacenter campus in Pecos, Texas, adding approximately 2 GW to its global datacenter capacity. In parallel, Microsoft and Chevron revealed plans for a 2.67-gigawatt natural gas power plant in West Texas, secured under a 20-year power purchase agreement. These steps aim to provide dedicated electricity for Microsoft's growing AI and cloud data centers.

Microsoft also released new AI-powered tools for finance professionals in Copilot in Excel on June 25, enabling complex variance analysis and data reconciliation through natural language prompts. The company completed construction of its first datacenter facility in Mount Pleasant, Wisconsin, which is now fully operational as of June 23.

Elsewhere, OpenAI rolled out improved memory functions for ChatGPT Enterprise and Edu on June 25, introducing memory summaries, source viewing, and correction or deletion controls for Enterprise admins. Cohere demonstrated its North agent platform integrated with Wiz on June 25, automating incident response workflows to reduce response times for security findings.

Sources