That's an interesting example because spreadsheets are commonly and famously riddled with data errors and mistakes in their calculations. Despite this, many businesses are run successfully on the backs of them. Maybe a spreadsheet which acknowledges openly that it could contain errors would disincline a business user from trusting it; ignorance is bliss.
But these are different errors. A sum of a column is always correct. Maybe it's not the answer you're looking for, maybe it misses an entry, but the sum is correct.
That's not the case with AI.