[tomlue]

One very common task we have is writing and maintaining ETL scripts. This was never a particularly difficult task, just time consuming and normalized enough that I could outsource it.

It's not that chatgpt can do the whole task, it's just that I can do it myself much faster now. Paying somebody to set up a new source that is consistent with our protocol is just too expensive relative to the 1-2 hours it takes me to do it myself now.

I don't think ETL is special at all in this way.

It is also just much, much, easier to learn today. Previously, I might have hired a developer to handle the UI side of a new project. I have about 15 years of experience building ML apps and while I have spent a good amount of time building UI, it just didn't make sense for me to do it myself after factoring in the relearning time.

With chatgpt I can create a really nice, functional, deployed UI very quickly even factoring in learning time, with much less of the frustration, miscommunication and Cost involved in working with other people.

[iJohnDoe]

I don’t know much about the ETL industry. Are these ETL jobs for all sort of data? Accounting data? Log data? Getting the data from point A to point B? You mentioned UI. Is the UI so the customer can now move the data around or to visualize the data.?

[tomlue]

I would not get overly focused on this use-case. It is more difficult to think of use-cases that won't get disrupted than those that will.