Billions Torched on AI Pilots, But 95% Flop—Enterprises Finally Blame the Data Plumbing, Not the Bots

A significant milestone has been reached in enterprise AI adoption, with a major obstacle hindering progress identified. Despite substantial investments in generative AI, only 5% of integrated pilots yield measurable business value, while nearly half of companies abandon AI initiatives before reaching production. The primary bottleneck lies not in the AI models themselves, but rather in the surrounding infrastructure, including limited data accessibility and rigid systems. This challenge affects enterprises globally, with billions of dollars invested in AI development. The issue is attributed to the lack of composable and sovereign AI infrastructure, which hampers the ability to scale and deploy AI models effectively. As a result, companies are struggling to realize the full potential of AI, highlighting the need for a more robust and adaptable infrastructure to support AI adoption. This development has significant implications for the industry, underscoring the importance of addressing infrastructure limitations to drive meaningful AI implementation.