The one thing I've always been wary about is trusting technology with my numbers.
When I was younger, it was a fancy Excel formula that could do a lot of magical things, but if that formula was wrong, it would mess up a lot of cells at once. Then I discovered Power Query and Power BI. I could do the math at scale, hundreds of thousands of lines instead of a handful of cells. The risk was the same shape, just bigger: if I made a mistake centrally, in the model itself, it would mess up everything downstream.
But with that older technology, you could search through and figure out exactly where the mistake was, fix one formula or one measure, and everything downstream would correct itself in one fell swoop. That magic doesn't exist with AI. It's non-deterministic, and it doesn't necessarily keep a clean audit trail unless you specifically instruct it to. There's no single fix that ripples back and cleans everything up.
Traditional technology excels at the mathematical work itself. What I think AI does well is the first cut, maybe the second cut, of analysis. But I don't feel comfortable with it crunching my numbers yet.
How do you all feel about AI actually doing the math? Preparing a P&L? Preparing a footnote?
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Daniel Harley CMA,CSCA
Director/Manager
Newtown PA
https://www.linkedin.com/in/danieljharley/------------------------------