Why Do Data Teams Use AI to Write Code but Not to Monitor Pipelines?

An AI gap exists in analytics engineering, with 72% of data teams using AI for code writing but only 24% for pipeline monitoring. This 48-percentage-point difference highlights a reliability problem, as pipelines are built faster with AI, but data quality is not proportionally monitored.