AI Is in 57% of Enterprises, But Only 11% Hit Both Top Objectives

Enterprise AI deployment has nearly doubled in a year, but success at scale remains rare. That is the central finding of Kyndryl's 2026 People Readiness Report, which surveyed 1,100 senior leaders across eight countries. The headline number: AI is now present in 57% of enterprises, up from 35% in 2025. The problem: only 11% of those organizations achieved both of their top AI objectives.

The gap between deployment and results is not primarily a technology problem. It is a workforce and change management problem.

Key Takeaways

• Workforce readiness is declining even as deployment grows: Only 23% of leaders say their workforce is fully prepared for AI-driven change, down six percentage points from the prior year. As AI moves faster, organizations' ability to keep people ready is falling behind.
• A small group of "Pacesetters" shows what works: 9% of surveyed organizations, labeled Pacesetters, consistently outperform peers on AI outcomes. Their distinguishing behaviors: redesigning roles rather than retrofitting AI onto existing job descriptions, running structured change management programs, and making workforce readiness a prerequisite rather than an afterthought. Pacesetters report 1.5x revenue growth and 1.6x innovation output versus their peers.
• Autonomous AI is arriving faster than trust is building: 81% of leaders expect AI agents to be making independent decisions within a year. Only 25% say they trust autonomous AI to do so. That 56-point gap between expectation and trust is the next governance challenge enterprises will need to solve, along with a talent market where 52% of leaders say hiring AI-skilled workers has become harder.

For enterprise leaders, the Kyndryl data reinforces a consistent finding: the organizations getting results from AI are the ones treating workforce readiness as a strategic input, not an implementation footnote.

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