Many generative AI initiatives fail to move beyond the pilot stage—not because of the AI models themselves, but because of poor data quality, fragmented systems, and weak data governance. This article explores the hidden data challenges that prevent AI projects from delivering business value and explains why a strong data foundation is critical for successful AI implementation and scalability. Research and industry insights consistently show that data readiness is one of the biggest factors determining AI success.