- 87% of CEOs stake their jobs on AI success, but they face pressure from all angles
- About three-quarters face pressure from the board to deliver meaningful ROI
- Impatient workers use unapproved, risky AI tools
A new Dataiku survey has revealed how much business leaders are betting on AI, with four in five worried that their jobs could be at risk by the end of 2026 if their AI plans fail.
At the same time, more than half (56%) of the 900 global CEOs surveyed admit that their competitors have stronger AI strategies, suggesting there is a growing sense of uncertainty and uncertainty about what constitutes a strong AI plan.
“CEOs stake their jobs on AI, but still question its output and struggle to control the systems they say they own,” explained CEO Florian Douetteau.
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Is CEO success determined by AI strategy?
With roughly three in four US CEOs saying the board pushes them to deliver measurable results (72%) and ranking AI as one of their top priorities (78%), nearly nine in 10 (87%) now bet their jobs on AI success.
Although the data suggests that investment in artificial intelligence continues to grow, confidence is not so high. Half of critical business decisions still require human approval, and as many as four-fifths continue to question AI’s output. AI agent trust is also trending in the wrong direction, down to 31% in 2026 compared to 41% in 2025.
Regulatory uncertainty also plays a bigger role this year (51% compared to 37%), and many are concerned that poor explanation could trigger trust issues among customers.
Dataiku’s report also serves to illustrate where some of the challenges are going forward, and it’s clear that endless choices may not be as good as they seem. Two in three (65%) worry about overinvesting in the wrong AI platforms rather than underinvesting.
Looking ahead, CEOs will come under more pressure as the risks surrounding shadow AI increase. Almost all (96%) believe that employees are using unapproved GenAI tools, potentially putting sensitive company information at risk. The answer is a fine balance between investing in the right tools to deliver strong ROI and investing in the right tools to meet employees where they are and eradicate shadow AI.
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