As data people, we often trade one problem for another problem.

Data analysts not having access to the data models they need due to complexity in the data --> complexities caused by business processes not being handled, and bugs needing to be fixed every few weeks

Too high a turnaround time for a data analyst to create a stakeholder dashboard --> AI-enabled dashboards created by stakeholders with no data governance

Not enough PRs being pushed due to rigid requirements --> Errors making it into production because of a lack of rigid requirements

Sure, AI can solve some data problems, but with it will only come new ones.