Browsing Tag

AI Sovereignty

7 posts

Coverage of national and regional efforts to control AI infrastructure, models, cloud capacity, data governance, and strategic technology dependencies.

Thomson Reuters logo used for coverage of its Thomson AI model launch

Thomson Reuters’ Own AI Model Tests the Economics of Specialized Models

Thomson Reuters launched Thomson, a proprietary AI model built from open-weight foundations and trained for legal, tax, accounting, and professional work. The launch is a useful test of whether companies with deep data and expert reviewers can own the parts of AI that matter most instead of renting every frontier capability from a general model provider.
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Rows of server racks inside a modern data center, used to illustrate AI infrastructure capacity

SoftBank SB Neo Turns AI Cloud Capacity Into a 10-Gigawatt Race

SoftBank has formed SB Neo, a U.S.-based neocloud company meant to supply AI chips and cloud services to model developers and large enterprises. The plan, tied to SoftBank's 10-gigawatt AI infrastructure target by 2030, shows how AI compute is shifting from scarce GPU rental toward vertically managed infrastructure businesses built around power, chips, networking, and operations.
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