As someone who was working really hard trying to get my company to be able use some classical ML (with very limited amounts of data), with some knowledge on how AI works, and just generally want to do some cool math stuff at work, being asked incessantly to shove AI into any problem that our execs think are “good sells” and be pressured to think about how we can “use AI” was a terrible feel. They now think my work is insufficient and has been tightening the noose on my team.
I remember reading somewhere that they have a subsidiary that was made to implement the software needed to run EVs, and another something to do with batteries. Both of these subsidiaries have appeared to be massive failures, though the reasons weren’t stated in the article I read. Were they just badly funded? Or were the people hired there resistant to switching to EVs?