Before AI, we were trying to save money, but through a different technique: Prompting (overseas) humans.
After over a decade of trying that, we learned that had... flaws. So round 2: Prompting (smart) robots.
The job losses? This is just Offshoring 2.0; complete with everyone getting to re-learn the lessons of Offshoring 1.0.
The conclusion I reached was different, though. We learnt how to do outsourcing "properly" pretty quickly after some initial high-profile failures, which is why it has only continued to grow into such a huge industry. This also involved local talent refocusing on higher-value tasks, which is why job losses were limited. Those same lessons and outcomes of outsourcing are very relevant to "bot-sourcing'.
However, I do feel concerned that AI is gaining skill-levels much faster than the rate at which people can upskill themselves.