Power BI and AI: what actually helps

Four jobs AI does well in Power BI work

• Translating a business definition into a DAX measure with the right filter context
• Explaining an inherited measure line by line so you can trust or replace it
• Profiling a source file before modelling: types, blanks, duplicates, cardinality
• Drafting the narrative under a chart, which you then check against the numbers

Where to be careful

AI does not know your model. It cannot tell whether your date table is marked, whether a relationship is bidirectional, or whether a column is stored as text. Always state those facts in your request, and always validate a generated measure against a number you already trust.

Never accept a generated figure as a result. Generated code is a draft; generated numbers are a guess unless they were computed from data you supplied.

A safe workflow

• Write the definition in one sentence, including the grain and the filters that should apply
• Generate the measure and read the explanation before pasting it
• Test on a single known row or period, then on a total you can reconcile
• Rename and document the measure so the next person does not regenerate it