Dataiku

76% of CIOs believe their role will be at risk if their company fails to deliver measurable business gains from AI by the end of 2027.

72% of CIOs say their AI budget is likely to be cut or frozen if performance targets are not met by the end of 2026.

82% of US CIOs regret at least one major AI vendor or platform selection made in the past 18 months.

54% of CIOs say they have discovered unsanctioned 'shadow AI' in use inside their organizations.

70% of CIOs expect new AI audit or explainability requirements within the next 12 months.

87% of CIOs say AI agents are already embedded in critical operations.

83% of CIOs lack standardized agent lifecycle management across the organization.

47% of CIOs have already decommissioned more than 20 agents this year.

84% of CIOs agree that employees are creating AI agents and applications faster than IT can govern them.

88% of CIOs say their professional reputation or career trajectory will be shaped by their success with AI.

67% of CIOs estimate that 51 or more AI agents are actively running in production.

90% of CIOs say they are confident they have complete tracking of all running AI agents.

60% of CIOs say they lack a central AI governance layer spanning their enterprise apps, tools, and IT environments.

81% of CIOs lack complete oversight of agents created entirely outside approved systems or formal channels.

75% of CIOs plan to use more or different models to improve AI continuity.

74% of CIOs are considering open-source or open-weight models as a hedge against future model unavailability.

80% of CIOs have conducted or plan to conduct AI dependency risk assessments.

91% of CIOs agree that the most effective AI strategy is to let business teams build within a governed environment rather than centralize every application and agent.

28% of CIOs consistently measure both operational performance and business outcomes across all of their AI agents.

76% of CIOs say their organization lacks mature, highly capable ROI measurement across all or most AI initiatives.

When AI agents go awry, CIOs identify primary responsibility as shared teams (23%), central IT (21%), the data or AI team (20%), or security, risk, and compliance (18%).

87% of CIOs say their CEO has expressed that their job security depends on AI outcomes.

80% of CEOs say their role would be at risk if their company fails to deliver measurable AI gains.

97% of CIOs report at least some increase in board pressure to demonstrate measurable AI ROI.

77% of CIOs describe the increase in board pressure to demonstrate measurable AI ROI as significant or moderate.

94% of US CIOs say employees are creating AI agents and applications faster than IT can govern them.

88% of US CIOs believe their role will be at risk if their organization fails to deliver measurable AI gains by the end of 2027.

87% of US CIOs say their AI budget is likely to be frozen or cut if performance targets are not met by the end of 2026.

92% of US CIOs would currently stake their job on delivering measurable AI results.

72% of CIOs cannot consistently measure whether their AI agents are delivering intended business outcomes.

85% of CIOs expect their compensation to be directly tied to measurable AI outcomes.

29% of CIOs say they have repeatedly been asked to justify AI outcomes they could not fully explain.

57% of CIOs believe their company’s survival could be at stake if the AI market contracts or an AI bubble bursts.

74% of CIOs regret at least one major AI vendor or platform selection made in the past 18 months.

81% of CIOs say CEOs will have their compensation directly tied to measurable AI outcomes.

81% of CIOs are concerned that citizen-built AI could expose sensitive company data.

82% of CIOs say employees are creating AI agents and applications faster than IT can govern them.

89% of CIOs believe uncontrolled AI access will create significant technical debt.

62% of CIOs say their CEO has directly questioned or challenged AI vendor or platform decisions they made at least once in the past year.

85% of CIOs say gaps in traceability or explainability have already delayed or stopped AI projects from reaching production.

71% of CIOs say it is likely their AI budget will be cut or frozen if targets aren’t met by the end of the first half of 2026.

25% of CIOs report having full real-time visibility into all AI agents running in production.

60% of CIOs say their own job would be at high risk if the AI market contracts or an AI bubble bursts.