[carlmcqueen]

A lot of the discussions of how AI is coming for your jobs follows the same reasoning of how automation is/was, even before it was called machine learning.

The data science team at a major bank I used to work for historically had a team that sourced and cleaned the data, then a team who would explore and build the models and then a team who would learn and run the models going forward. In my opinion the final team was the most important and the most tragic for being condensed, they noticed when the models needed to return to the model builders to be adjusted when missing the mark.

The "lost jobs" in this case is that when I was on the team we had to learn the entire bank database structure and source our own data, build the models and then automate them in such ways to "catch" when they were missing the mark.

The team will be further shrunk as the software tools provided have better auto-sql for sourcing the data, automated model building functions, and automated visualizations thus removing even that as a special skills.

[moneil971]

Like automation, the ideal is that workers who are no longer doing the jobs “AI” (aka automated systems) can now do move on to doing higher level or more interesting work. But I agree that there’s often far too much trust that a system can now run itself with little to no checks or humans to tune the system.