TLDR
- IBM shares fell 0.38% to $243.59 as its report flagged AI sovereignty risks.
- IBM found 94% of enterprises faced sovereignty challenges over three years.
- AI issues topped sovereignty concerns, affecting 44% of surveyed enterprises.
- Only 26% of businesses reached IBM’s leading digital sovereignty tier in its index.
- Manual evidence collection challenged 56% of surveyed firms, exposing control gaps.
IBM has released a new report highlighting growing AI sovereignty risks and weaknesses in enterprise technology controls. The findings reveal gaps between corporate confidence and the ability to prove control during major disruptions. Meanwhile, IBM (IBM) shares declined 0.38% to $243.59, losing $0.92 amid early selling pressure.
International Business Machines Corporation, IBM
IBM Report Reveals Major Gaps in Digital Sovereignty
IBM’s Digital Sovereignty Index found that 94% of surveyed enterprises experienced sovereignty challenges over the previous three years. These challenges included technology failures, regulatory conflicts, provider disruptions, government restrictions, and data access problems. Furthermore, 81% of affected organizations faced requests for formal evidence from regulators, customers, auditors, or internal stakeholders.
The report examined enterprise control across artificial intelligence, technology infrastructure, business operations, and data management. It assessed accountability, traceability, operational safeguards, incident response, decision-making, and the ability to change providers. Many organizations lacked sufficient evidence to demonstrate effective control during unexpected disruptions.
Despite widespread confidence, only 26% of surveyed enterprises reached IBM’s highest digital sovereignty category. Meanwhile, 82% of respondents expressed strong confidence in their ability to demonstrate control over critical systems. This difference highlights a significant gap between management expectations and documented operational capabilities.
AI Risks Lead Enterprise Sovereignty Challenges
Artificial intelligence emerged as the most frequently reported individual sovereignty challenge, affecting 44% of respondents. Companies encountered incorrect AI outputs, limited transparency, model failures, and governance problems across their operations. Additionally, these findings highlight growing operational demands as businesses expand AI adoption.
Regulatory reviews affected 38% of respondents, while significant provider changes created challenges for 35%. Data access and transfer problems affected 33%, while government restrictions accounted for 30%. These pressures increased the importance of reliable systems and flexible technology arrangements across international markets.
IBM also identified major differences between enterprises with established controls and those still developing their capabilities. Among leading enterprises, 52% resolved their toughest sovereignty challenges without material disruption, compared with 22% of establishing enterprises. Furthermore, 63% of leading organizations regularly tested their controls, compared with 29% of establishing enterprises.
IBM Highlights Operational Barriers and Research Findings
The report identified manual evidence collection as a major obstacle, affecting 56% of surveyed organizations. Fragmented records, third-party dependencies, and outdated systems each affected 53% of respondents. Meanwhile, 50% reported weaknesses involving untested controls, recovery procedures, or provider exit arrangements.
IBM conducted the research through an international survey of 2,003 senior decision-makers across seven countries. These included the United States, United Kingdom, Germany, France, Saudi Arabia, India, and Japan. Researchers also interviewed policymakers, regulatory officials, industry experts, and corporate leaders to assess digital sovereignty practices.
The findings place digital sovereignty within broader discussions about business continuity, technology independence, and corporate accountability. IBM emphasized practical testing, stronger evidence management, and better understanding of critical technology dependencies. Ultimately, the report connects enterprise AI expansion with growing demands for measurable operational control and resilience.
