Only 29% of corporate transformations consistently deliver the value they were designed to produce, according to Kearney's Transformation Study 2026. The finding lands as HR leaders are being asked to accelerate AI adoption while managing skills gaps, employee workload, and change fatigue.
Resistance to change was the most commonly cited implementation barrier, ranking ahead of budget constraints, timelines, and technology. That suggests organizations are investing heavily in transformation infrastructure without giving equal attention to whether employees are prepared to work differently.
More than 80% of executives surveyed said fewer than half of their AI initiatives delivered measurable financial impact. For HR teams, the results point to a gap between making technology available and building the workforce capability required to use it effectively.
Why adoption lags behind investment
"Companies have become much better at designing and launching transformations, but they haven't made the same progress in getting organizations to adopt them," said Jennifer McGee, Kearney partner and lead author of the report.
"That's the paradox: we have more technology, more sophisticated transformation methods, and more investment than ever, yet consistent value realization is still elusive. The next transformation advantage won't come from better strategy alone; it will come from mastering adoption."
Kearney's findings also show transformation remains largely leadership-driven. Nearly three-quarters of respondents said strategy, priorities, and sequencing were set primarily by senior leadership, while only 12% said leaders intentionally slowed transformation to protect organizational readiness.
That creates a challenge for HR leaders who must manage how much change employees can absorb while maintaining performance expectations. Kearney argues that adoption should be considered at the design stage, not treated as an implementation issue after decisions have already been made.
The consultancy identified four areas to address from the start: employee motivation, opportunities for people to help shape change, workforce capacity to absorb it, and the capabilities employees will need.
"Adoption isn't what happens after a transformation is designed. It has to shape the transformation from the beginning," McGee said. "That means designing around what motivates people, giving the organization a meaningful role in shaping change, creating capacity to absorb it, and building capabilities before they are needed. When those elements come too late, organizations spend the rest of the transformation trying to overcome resistance they helped create."
Capability-building changes outcomes
Organizations that embedded capability-building from the start of a transformation were nearly three times more likely to realize their expected value, according to the study. That finding is particularly relevant to AI implementation, where gaps in training can constrain productivity gains.
For HR leaders, the results suggest that workforce preparation should be part of the initial design of AI initiatives, not a follow-up. A structured approach to building those skills is available through the AI Learning Path for HR Managers, which focuses on AI-driven talent management and workforce analytics.
Bryan Arcati, Kearney partner and co-author of the report, said workforce preparation will become more important as organizations expand their use of AI.
"AI is making human-shaped transformation more urgent, not less. At a time when most leaders aren't seeing measurable financial impact from the majority of their AI initiatives, it's clear that digital capability alone isn't enough. The organizations that close that gap will be the ones that build capabilities before implementation: equipping leaders to redesign work, helping employees build confidence and judgment in using AI, and reinforcing new ways of working every day," Arcati said.
Why this matters for HR leaders
The 29% success rate is not a technology problem. It is a people problem, and it sits in HR's lane. The evidence that early capability-building triples the odds of success gives HR leaders a concrete argument for being at the planning table when AI initiatives are designed, not just when training is rolled out. For CHROs, the same logic applies at strategy level: the AI Learning Path for CHROs covers the workforce analytics and AI strategy skills needed to make that case. The window for influence is early, and the cost of missing it is another transformation that fails to deliver.
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