Most CEOs say their jobs are at risk if AI investments fail to deliver, survey finds

80% of CEOs say their job is at risk if AI fails this year, per a survey of 900 executives by Dataiku and The Harris Poll. Boards are demanding proof of returns, and 65% now fear over-investing more than falling behind.

Published on: May 07, 2026
Most CEOs say their jobs are at risk if AI investments fail to deliver, survey finds

CEOs Face Board Pressure to Prove AI Returns as Job Security Hinges on Success

Nearly three-quarters of U.S. CEOs feel pressure from their boards to demonstrate concrete AI-driven outcomes and ROI, according to a survey of 900 executives worldwide. The research, conducted by Dataiku and The Harris Poll, reveals that most company leaders now view their organization's survival as directly tied to AI success.

The stakes feel personal. Eighty percent of CEOs said their job is at risk if AI fails this year. Eighty-one percent believe a peer would be removed from their role because of a failed AI strategy or crisis.

This pressure is reshaping executive thinking. Just years ago, CEOs worried primarily about falling behind on AI innovation. Now, 65% feel more stressed about over-investing in AI than being left behind. Yet 87% of global CEOs said their employment depends on AI success.

Autonomous Agents Create New Anxiety

Autonomous AI agents are amplifying executive concern. While companies have already deployed agents for tasks like coding, CEOs expressed less confidence in expanding these systems. Many worry about potential legal risks that agents could create.

The gap between deployment and confidence suggests executives lack clarity on how to manage and govern these tools at scale. This uncertainty is shaping investment decisions across organizations.

For executives and strategy professionals managing these decisions, understanding both the business case and the operational risks has become essential. Resources on AI for Executives & Strategy and AI Agents & Automation can help clarify the practical considerations behind these deployment choices.


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