Dataiku: trust and distrust in agentic AI deployments

Nearly all data leaders (95%) admit they lack full visibility into AI decision-making, according to the Global AI Confessions Report: Data Leaders Edition from Dataiku, the universal AI platform.

Source: Dataiku landing page. Percentages. More than seven in 10 believe a competitor has a stronger AI strategy.
Source: Dataiku landing page. The current state of agentic AI.

A study* conducted by The Harris Poll for Dataiku surveyed 800+ senior data executives worldwide, including in Japan, Singapore, South Korea and the UAE. The report revealed that while 86% of respondents estimate AI has become embedded into their daily operations, concerns about governance gaps, lack of explainability, and misplaced confidence remain. As an example, 19% of data leaders always require AI agents to “show their work” before approval, and 52% have delayed or completely blocked agent deployments specifically due to explainability concerns.

CIOs and chief data officers (CDOs) carry the weight of responsibility. Under half (46%) are most likely to be credited for AI gains, but over half, 56%, are most likely to be blamed for business losses due to failed AI. With 60% fearing their own jobs are at risk if AI doesn’t deliver measurable results within two years, the stakes for data leaders have never been higher.

Despite optimism about potential, AI is already causing headaches for global enterprises:

- Roughly six in 10 (59%) report that AI hallucinations or inaccuracies have already caused business issues in the past year.

- About eight in 10 (82%) believe AI can outperform their boss in business analysis, but 74% would revert to human-managed processes if AI error exceeds just 6%.

- Approximately nine in 10 (89%) say there is at least one business function they would never delegate to AI.

Earlier this year, Dataiku’s Global AI Confessions Report: CEO Edition showed how bullish CEOs are on AI. Data leaders, however, are more skeptical, resulting in a CEO disconnect and AI stuck at the proof of concept (PoC) stage. Only 39% say their C-suite truly understands AI, while 68% believe executives overestimate its accuracy, and 73% say the C-suite underestimates the difficulty of achieving AI reliability prior to production.

The stakes are high, with 56% of data leaders expecting a CEO will be ousted by 2026 due to a failed AI strategy. This CEO optimism versus data leader caution in pushing unfit AI into production, could explain why so many projects remain stuck in PoC.

“An alarming revelation of the report is that enterprises worldwide are betting on AI they don’t fully trust. The good news is that most failed AI initiatives suffer from common blockers that can be overcome with more explainability, traceability, and governance. That’s how AI moves from hype to real business impact,” explained Florian Douetteau, Co-founder and CEO of Dataiku.

In mid-October the company launched Agent Hub as part of its platform. The centralised workspace allows employees to discover, use, and create approved AI agents, while IT retains full control over access to models, data, and the agent lifecycle. By eliminating fragmentation caused by isolated, ungoverned agent experiments, Agent Hub helps enterprises unlock agent business value and better determine ROI with clear visibility into agent adoption, usage, and impact, the company said.

Explore

Read the Global AI Confessions Report: Data Leaders Edition at https://pages.dataiku.com/global-ai-confessions-report-data-leaders-edition

*The research was conducted online by The Harris Poll on behalf of Dataiku from August 20 –29, 2025. The survey was conducted among professionals considered “data leaders” in the US, the UK, France, Germany, the UAE, Japan, Singapore, and South Korea. A total of 812 interviews were conducted: US = 203, UK = 102, France = 101, Germany = 103, UAE = 100, Japan = 103, South Korea = 50, and Singapore = 50. Data leaders are defined in the study as those who work for large companies with an annual revenue of or more than US$1 B or regional equivalents, and are defined by professional titles ranging from VP, director, MD, or C-suite level.

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