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AI readiness is slipping, not growing. Kyndryl’s 2026 survey of enterprise leaders finds only 23% believe their workforce is fully ready for AI, down from 29% a year ago, and just 11% have hit both of their top two AI goals. The data suggests organizations are getting closer to the actual work of AI adoption and discovering it’s harder than the original pitch. Workforce readiness confidence is falling precisely as investment and expectations rise.
What this means for your business
The readiness gap is sharpest at companies where AI adoption has been treated as a technology project rather than a workforce redesign. If your organization is in the 68% that hasn’t achieved even one of its top AI goals, the honest question isn’t which tools to buy next. It’s whether the people expected to use those tools have been given the conditions, skills, and time to actually change how they work. Those are different problems with different owners, and most of the budget has gone to the wrong one.
The pattern worth naming here is what happens to top performers during AI transitions. They get pulled into implementation, asked to coach peers, and loaded with oversight responsibilities on top of their existing roles. Carolee Gearhart at Wellhub flags this directly, and it’s a real retention risk that rarely shows up in AI ROI calculations. The employee most capable of helping the organization adapt is also the one most likely to burn out or leave if HR treats them as a free internal consultant rather than a finite resource.
Confidence declining as organizations get deeper into adoption isn’t a sign that AI is failing. It’s a sign that early benchmarks were set before anyone understood what the mountain actually looked like. The CHRO who treats this data as an alarm should weigh what “readiness” was measuring a year ago against what it measures now. If the definition got harder and more honest, falling scores are progress. If the definition stayed the same and confidence still dropped, that’s the version of this story that demands a different response to the next budget cycle.
Based on reporting from The majority of leaders have not achieved their top AI goals, originally published 2026-08-12 09:52:00.
