Financing for AI data centers is increasingly shifting from “cash-rich hyperscalers just spend” to a broader credit story, with data center/project financing volumes sharply higher and more issuance expected. Reuters flags rising investor attention on credit risk signals (like CDS moves) and the growing role of private credit and securitized products to fund buildouts. This matters because the AI buildout’s bottleneck isn’t only GPUs—it’s power, real estate, and capital structure, and debt markets can tighten faster than tech demand cools. The deep dive question investors are now asking: if utilization or pricing disappoints, who eats the downside—hyperscalers, data center owners, or the credit wrappers holding the risk?
Microsoft and Wipro signed a three-year partnership to deliver AI transformation tools to enterprise customers.
Microsoft will invest $17.5 billion between 2026 and 2029 to build AI-ready cloud infrastructure, data centers and workforce skilling programs across India.
OpenAI, Anthropic, Block and major cloud providers are co-founding the Agentic AI Foundation under the Linux Foundation to steward open, interoperable standards for AI agents.
Founding members created the Agentic AI Foundation under the Linux Foundation to fund and govern open standards like MCP, goose and AGENTS.md for interoperable agentic AI.
Microsoft pledged $23 billion in new AI investments, led by a $17.5 billion India program and a $5.4 billion Canada program to build data centers, hyperscale cloud and AI skills.
