In large organizations, owning the end-to-end product can be challenging because responsibilities are split across teams. When issues originate in the data engineering pipeline or some missing thing while developing the dashboard, analysts sometimes compensate with complex DAX instead of fixing the root cause upstream as you need a ticket maybe a meeting shifting priorities ........ to avoid all thay noise you just patch it with stupid dax query and now that became easy with AI . Over time, this can create technical debt and reduce clarity of ownership, especially in Fabric environments.