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The Push for AI Sovereignty

The Push for AI Sovereignty

Summary

Businesses are paying more attention to who controls their AI systems, data and infrastructure as they increase investment in the technology. AI sovereignty means managing those systems and their governance rather than relying entirely on outside providers; approaches include on-premises and private-cloud systems.

Key Facts

  • A McKinsey survey in August 2026 of 1,719 respondents across 97 countries found that 60 percent expected their organizations to increase AI investment over the next year.
  • The article identifies data security, ownership, infrastructure and reliance on outside technology providers as concerns driving interest in AI sovereignty.
  • IBM’s 2026 Cost of a Data Breach Report found that one in four malicious breaches were AI-enabled.
  • More than 20 percent of organizations in the IBM report said they had experienced breaches targeting AI models or applications.
  • The report put the global average cost of a data breach at $4.99 million.
  • Some businesses use AI systems hosted on their premises or in private or sovereign clouds to gain more control over data storage, access and model choice.
  • Language Intelligence Corporation’s Fluent platform is designed to operate on-premises or in private and sovereign cloud environments, and can work with different underlying language models.
  • KPMG UK and Switzerland’s Paul Henninger said businesses are seeking more control over where their models, data and intellectual property are hosted, rather than broadly abandoning commercial providers. The article ends before his remarks are complete.
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