Snapshot from Jun 25, 2026 at 22:38 UTC. For live data and tracking: View Live
Tech study release

IBM Study: AI Control Gap

Analysis based on 16 articles · First reported Jun 08, 2026 · Last updated Jun 08, 2026

Sentiment
20
Attention
4
Articles
16
Market Impact
Direct
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The study by IBM highlights significant challenges in AI governance and control for CIOs and CTOs, suggesting potential demand for solutions that embed control and visibility into AI systems. This could positively impact IBM's consulting and AI solution offerings, as companies seek to mitigate operational and security risks associated with scaling AI.

Technology Consulting Financial Services

A new study by the IBM — Institute for Business Value, in cooperation with Oxford Economics, reveals that two-thirds of surveyed CIOs and CTOs are accountable for AI systems they do not fully control as AI deployment scales. The study, based on a survey of 2,000 C-level technology executives, indicates that governance is struggling to keep pace with AI adoption, leading to increased operational and security risks. Only 11% of respondents feel fully prepared for the anticipated scale of AI agent deployment by 2027. The research suggests that organizations embedding control into their AI systems experience fewer incidents and achieve stronger performance outcomes. IBM's CIO, Matt Lyteson, emphasized the need for redesigning how organizations control, govern, and invest in AI to scale with confidence. The study also projects a 71% increase in AI spend as a percentage of IT budgets by 2027.

90 IBM published study
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IBM released a study highlighting challenges in AI governance and control, positioning itself as a thought leader in the AI and consulting space. This could enhance its reputation and potentially drive demand for its AI and consulting services.
Importance 100 Sentiment 20
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The IBM — Institute for Business Value conducted and released the study, reinforcing its role as IBM's thought leadership think tank.
Importance 80 Sentiment 20
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Matt Lyteson, CIO of IBM, provided commentary on the study's findings, emphasizing the need for redesigning AI control and investment.
Importance 40 Sentiment 10
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Oxford Economics cooperated with the IBM — Institute for Business Value on the study, lending credibility to the research.
Importance 30 Sentiment 10
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Victoria Medina from Allianz provided an executive perspective on the dual nature of AI, highlighting both opportunities and vulnerabilities.
Importance 10 Sentiment 0
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Boris Alexandre from Airbus shared insights on designing modular architectures for AI, demonstrating a practical approach to AI scaling.
Importance 10 Sentiment 0
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Afonso Eca from Banco BPI offered a metaphor illustrating the complexity and challenges faced by companies scaling AI.
Importance 10 Sentiment 0
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Chad Jones from Baylor Scott & White Health discussed his role in building foundational structures for AI innovation.
Importance 10 Sentiment 0
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Chris Pesola from RFK Racing commented on creating visibility and partnerships to manage shadow IT in AI deployment.
Importance 10 Sentiment 0
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Dalton Gouws from Volkswagen (VWG UK Ltd is a subsidiary) emphasized keeping AI models adaptable for future shifts in the landscape.
Importance 10 Sentiment 0
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