Microsoft President Brad Smith, on a BBC podcast, called for urgent AI regulation, saying AI is both a "weapon and a tool" and the moment for global safety rulemaking "has arrived." He argued that the UK, rather than the US or EU, is best placed to lead global safety rules because the UK AI Security Institute, established in 2023, can access primary models from leading US frontier labs for safety testing before deployment.
The Verge editor Terrence O'Brien analyzes that after Trump announced renaming artificial intelligence to "super intelligence," a White House executive order requires government agencies to use the term and calls those sticking with the old name "enemies."
Amazon, following Microsoft's earlier move, announced it will no longer use non-disclosure agreements (NDAs) in negotiations with local governments over data centers, in a statement made in a blog post arguing that data centers benefit communities.
Microsoft CEO Satya Nadella adopted Trump's preferred Super Intelligence framing in a blog post and suggested enterprises treat AI models as insider security threats.
Microsoft CEO Satya Nadella posted on X arguing that AI should no longer be treated as a "nested black box" whose advice is simply accepted or rejected, and that transparent systems should be built that are containable, observable, and leave tamper-proof human-readable evidence. He suggested timely incident disclosure, independent audits, and verifiable data, and went further to propose assuming from the start that models are compromised and isolating them accordingly—like an emergency brake, authorized personnel should be able to pause or shut down a model mid-run at any time; he believes more advanced models require standardized, more advanced containment techniques.
In a post on X, Microsoft CEO Satya Nadella proposed rethinking AI's trust architecture, arguing that models should be separated from the harness that orchestrates them, with controls and guardrails externalized.
Microsoft has published, on its corporate blog The Humanist Review of AI, a cautious AI forecast from Nobel laureate economist Daron Acemoglu: AI will drive only about 1.5% GDP growth over ten years and displace at most 5% of jobs, far below some AI labs' projections.
In a Microsoft Research podcast, partner research manager Jennifer Neville speaks with applied scientist Chad Atalla about how evaluation drives AI systems past performance limits to meet user needs, and about the "unexpected failures" models show when tested beyond standard benchmarks. She shares practical advice on using existing AI systems and stresses the importance of carefully checking data when results don't match expectations.