The Trump administration is tightening procurement rules for generative AI: vendors will need to measure and report political “bias” in large language models to be eligible for U.S. federal sales (with national security systems carved out). The move operationalizes earlier direction to avoid buying AI systems the administration frames as ideologically “woke,” and it effectively turns bias measurement into a gatekeeping compliance requirement for major government contracts. Practically, this raises the bar for model evaluation tooling and documentation, and could nudge vendors toward more standardized test suites (or at least defensible methodologies) for neutrality, factuality, and “truth-seeking.” The bigger impact is market-shaping: the U.S. government is a huge customer, so procurement checklists often become de facto industry standards—especially for enterprise deployments that mirror federal requirements. Expect a second-order fight over definitions (what counts as bias, which benchmarks, and how to prevent the metric from becoming performative).
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.

