Kearney Study: AI Investments Fail to Move Transformation Success Past 30%

  • Kearney's 2026 Transformation Study found only 29% of transformations consistently deliver intended value.
  • 80% of executives report less than half of AI initiatives yield measurable financial impact.
  • Resistance to change is the top barrier, cited more often than budget, timelines, or technology.
  • Companies embedding capability-building from day one are nearly 3x more likely to realize expected value.
  • Nearly 75% of leaders say strategy and priorities are set primarily by senior leadership.

Despite record investments in AI and transformation initiatives, Kearney's study reveals a persistent adoption gap, with resistance to change as the primary obstacle. The findings highlight that digital capability alone is insufficient, emphasizing the need for a 'human-shaped' approach to transformation. This trend underscores broader challenges in organizational change management across industries, where strategy and technology often outpace cultural and operational readiness.

Human-Centric Transformation
How companies integrating motivation, human contribution, capacity for change, and capabilities early will outperform peers.
AI Adoption Gaps
Whether AI investments will accelerate or compound existing transformation failure patterns.
Leadership Accountability
The pace at which senior leadership will shift from strategy-setting to embedding capability-building from the start.