Enterprise AI spending hit record highs in 2025, but conversion from pilot to production remains stubbornly low. Interviews with two dozen technology executives point to three recurring failure modes: unclear ownership, missing evaluation infrastructure, and costs that scale faster than value.
The pattern behind the stalls
The projects that survive share a trait: they automate a bottleneck the business already measured, rather than searching for a use case to justify the technology.