Why AI-Generated Financial Analysis Must Be Verified
AI-generated financial analysis can sound convincing even when it is wrong. The risk is not limited to an obvious arithmetic error; it also includes missing context, invented explanations and a failure to distinguish an assumption from a verified fact.
Where errors enter
A system may misunderstand a column, use an outdated record or infer a causal relationship from a coincidence. It may also produce a confident explanation when the source data does not support one.
A practical review
Verification means checking calculations, tracing claims to source records and testing whether the explanation fits the business context. It also means reviewing what the system did not mention.
Accountability remains human
An AI tool can assist with organisation or drafting, but responsibility for a published analysis remains with the person and organisation using it. That principle should shape both workflow design and professional education.