95% of Generative AI Pilots Still Fail to Reach Production, Despite Record Adoption

New enterprise AI research surfaces a genuinely stark gap: 65% of organizations now use generative AI in at least one business function — double the rate from 10 months earlier — yet 95% of generative AI pilots still fail to move beyond the experimental phase, and 56% of surveyed CEOs report getting "nothing" measurable from their AI investments.

Adoption and Value Are Being Measured, and They Disagree

• 79% of organizations report facing significant challenges adopting AI — a double-digit increase from 2025, meaning the difficulty of AI adoption is getting worse even as raw usage climbs, not improving with experience
• 54% of C-suite executives admit AI adoption is "tearing their company apart" internally — organizational friction, not technology capability, is a real and commonly acknowledged obstacle
• 97% of executives say their company deployed AI agents in the past year, with 52% of employees already using them — deployment has clearly outpaced value realization at most organizations

The Minority Doing It Right

One-third of organizations (34%) are using AI to deeply transform — creating new products or reinventing core processes — while another third (30%) are redesigning key processes around AI specifically. That combined two-thirds represents genuine, structural change, not surface-level tool adoption — and the research implies the gap between this group and the 95%-pilot-failure majority isn't about which AI tools they use, but about whether AI adoption is treated as a process and organizational redesign effort or a bolt-on feature.