The Real AI Bottleneck Is Business-Consumable Data
AITHORITY, Tuesday, February 17th, 2026
Enterprises are investing heavily in AI. Models continue to improve, experimentation budgets are growing, and executive attention has shifted toward AI-first strategies.
Yet despite this momentum, many organizations still struggle with a familiar problem: integrating AI into everyday business workflows in a way that consistently delivers outcomes.
This disconnect is often described as an AI execution gap or a last-mile problem. Pilots succeed, demos impress, and proofs of concept circulate widely. Yet tangible business impact remains limited. The prevailing assumption is that the gap stems from AI systems not being accurate, reliable, or predictable enough. As a result, investment flows toward better models, more tuning, richer prompts, and additional orchestration layers.