Report by Dataiku

Global AI Confessions Report: CIO Edition 2026

27 FINDINGSPublished Sep 24, 2026
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Key Findings

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.

Job RiskAI Outcomes

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.

BudgetingAI ROI

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

Vendor ManagementProcurementAI Vendor

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

Lifecycle ManagementAI Governance

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

Agent ManagementOperational Churn

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

IT GovernanceAI Adoption

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

Career RiskAI Strategy

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

Production AI

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

AI Agent Tracking

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

AI GovernanceEnterprise Architecture

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

Shadow IT

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

AI Continuity

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

AI ModelsAI Model Risk

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

AI Risk Assessment

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.

AI Strategy

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

AI Agents

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

AI ROIAI 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%).

AI Risk AccountabilityIncident Response

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

Job Security

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

AI Outcomes

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

Board OversightAI ROI

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

Board PressureAI ROI

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

USAgent SprawlShadow AI

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.

USJob RiskAI ROI

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.

USBudget

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

USAI ROI

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

AI ROIAI Governance