by Paul Gillin
Artificial intelligence sovereignty is a growing topic of discussion as governments and enterprises increasingly see AI as strategic infrastructure with economic, security, intellectual property and operational resilience implications. Regulations are also tightening globally, creating pressure on organizations to document where data resides, where models are trained, who can access operational telemetry and how sensitive data is treated.
Red Hat responded earlier this week by expanding its support for sovereign clouds, which store and process data within specific national or regional borders. It’s a market that Gartner Inc. estimates is growing 36% annually.
Executives also used the company’s summit this week to position sovereignty as one of the defining challenges of the AI era, arguing that enterprises and governments increasingly want control over their infrastructure, data, models and operations.
Executives described sovereign AI not as a niche compliance issue but a broad architectural shift that is reshaping enterprise infrastructure strategies.
