IBM Study: Limited Control and Rising Dependencies Leave Enterprises Exposed in the Age of AI
- A global IBM study finds most enterprises struggle to change embedded AI systems, emphasizing the need for AI sovereignty to ensure business continuity and performance.
- Seventy-One percent of respondents report difficulty switching their primary AI vendor or model due to operational constraints.
- Sixty-Eight percent of executives face challenges meeting data residency and sovereignty requirements across different regions, complicating AI system mobility.
- Ninety-One percent of surveyed organizations lack full understanding of AI vendor, model, and infrastructure dependencies, limiting risk assessment and disruption planning.
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47 Articles
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IBM Study: Limited Control and Rising Dependencies Leave Enterprises Exposed in the Age of AI
68% of surveyed executives say meeting data residency and sovereignty requirements across geographies is challengingNearly all (91%) respondents report not fully understanding their AI dependencies across vendors, models, and infrastructureOrganizations with the most advanced AI control capabilities protect more than…
IBM drops after Accenture outlook, AI control worries hit IT services stocks
IBM plunged 6.9% to $244.20 after Accenture’s weak sales outlook and IBM’s own AI study raised fresh concerns that customers lack control over AI systems, fueling fears that worries over vendor lock-in and business disruption could slow enterprise AI spending and pressure IBM’s consulting revenues. The post IBM drops after Accenture outlook, AI control worries hit IT services stocks appeared first on TechStock².
IBM Study Reveals AI Risks: Enterprises Face Control and Dependency Issues
IBM Study Highlights Challenges of AI Sovereignty for Enterprises On June 17, 2026, IBM released a significant report revealing that many organizations struggle with the complexities of AI sovereignty as they integrate artificial intelligence into their core business operations. The study, which surveyed 1,000 senior executives, indicates that a majority of companies face difficulties in […]
New study finds enterprises struggle with AI as demand for sovereignty grows
Most enterprises are deeply tied to their AI vendors, with 71 per cent saying switching would be difficult and many facing data residency challenges across regions Organizations lack visibility into their AI dependencies, leading to frequent disruptions and high risk of severe operational impact during vendor outages A small group with stronger AI control and adaptability performs significantly better, but most companies remain constrained despi…
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