Great examples. The most valuable use for me has been writing SQL queries. SQL is not a part of my job description, but data informs choices I make. I used to have to ask a developer on my team all the questions I had and pull them off their core work to get answers for me, then I had to guess at interpreting the data and inevitably bug them again with all my follow-up questions.
I convinced the manager to get me read access to the databases. I can now do that stuff myself. I had very basic understanding of SQL before, enough to navigate the tables and make some sense of reading queries, but writing queries would have taken HOURS of learning.
As it is, I type in basics about the table structure and ask my questions. It spits out queries, and I run them and tweak as needed. Without AI, I probably would have used my SQL access twice in the past year and been annoyed at how little I was able to get, but as it is I’ve used it dozens of times and been able to make better informed decisions because of it.
