Nearly half of AI projects are stalling due to data problems, new study finds - IBM

Nearly half of AI projects fail to get off the ground because companies struggle with data quality and management, not with the AI technology itself. This shows that for businesses trying to adopt AI, the real bottleneck is often messy, incomplete, or poorly organized data—a problem money and engineering alone can't fix.