The Gap Between Pilot and Production: Why 80% of AI Initiatives Fail to Scale

The Transition from Experimentation to Engineering Mission-Critical Systems

In today’s corporate landscape, Artificial Intelligence (AI) has gone from being a futuristic promise to a strategic imperative. However, a paradox persists: while investments in AI are reaching record levels, the project failure rate remains alarming. Recent reports from Gartner and MIT (2025) indicate that between 70% and 85% of AI initiatives fail to generate measurable value or even surpass the Proof of Concept (PoC) phase [1][2].