I'm interested by the first pull quote:

> "...analyzing customer data, which has become too large and complex for Excel. It helps me sift through massive datasets..."

The emphasis here is on the size of the data, but I think that's a red herring. Excel can certainly handle way more data than you're going to want to repeatedly pipe through an LLM. I'm betting it's the diversity of---or even lack of---schemas. Big piles of tables and unstructured data you'd normally have to normalize and join.

I spent years doing data analysis slowly with Python (pandas), and it took me a long time to accept that getting better at Excel was just more efficient. Hard to accept that code isn't always a task's best interface. Automating some Excel work sounds even better.