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

The AI gap in analytics engineering is a 48-percentage-point difference between how many data teams use AI to write code (72%) and how many use AI to monitor, test, or observe their pipelines (24%). It is the single most important structural finding in dbt's 2026 State of Analytics Engineering report, and it describes a reliability problem that will get worse before it gets better. The short version: teams are building data pipelines faster than ever because AI writes the code, but nobody is pay