According to a global study, by 2026, CIOs will no longer be judged on AI experimentation, but on their ability to prove, monitor, and defend AI results at scale.
AI is no longer an innovation project for CIOs, but a performance indicator. This is according to Dataiku’s “7 Career-Making AI Decisions for CIOs in 2026” report, based on a survey by The Harris Poll of 600 CIOs at large enterprises worldwide. The study shows that 74% of CIOs regret at least one major AI vendor choice in the past 18 months. Additionally, 85% say that a lack of traceability or explainability has slowed or even halted AI projects in production.
The pressure isn’t just coming from IT departments themselves. 98% of surveyed CIOs indicate that pressure from the board of directors to demonstrate measurable ROI from AI has increased since 2024. Furthermore, seven out of ten expect new audit or explainability requirements within twelve months.
Explainability as a bottleneck
Nearly three out of ten CIOs say they have repeatedly had to defend AI outcomes over the past year that they could not fully explain. In France, that figure even rises to 39%. Explainability also appears to have a direct impact on production: 85% of respondents report that shortcomings in traceability have delayed or stopped AI implementations.
AI agents are also a point of focus. 87% of CIOs say that agents are already embedded in business-critical processes. Yet, only 25% can fully monitor all agents in production in real time. According to the report, this creates a gap between deployment and control.
ROI and governance become decisive
In addition to technical control, financial pressure is growing. 71% of CIOs consider it likely that AI budgets will be frozen or reduced if no measurable results are presented by mid-2026. Moreover, 85% expect their own compensation to be linked to demonstrable AI results.
There are regional differences. In the US, 29% report a sharp increase in pressure regarding AI ROI, compared to 17% worldwide. In Japan, 30% say that explainability issues have never led to delays, although only 15% there can fully monitor all AI agents.