I would say the biggest thing that keeps me from worrying about AI in reasonably-complex domains is the requirement for mapping a workable UX to the domain (i.e

I would say the biggest thing that keeps me from worrying about AI in reasonably-complex domains is the requirement for mapping a workable UX to the domain (i.e. for machine-human interactions in insurance, banking, health care, et. al.). Additionally, the higher-order complexity that emerges when complex domains interact with each other seems to be even more impossible to train for. Sure, a sufficiently advanced AI can craft a UI that looks like something incredible (e.g. McMaster.com), but it won't necessarily be able to replicate the quality of their customer service, consistency of offerings, or reliability of delivery (the UX). Small nuances in some domain can cause vast changes in how you would be expected to interact with it. AI typically fails to extrapolate and manage all of these possibilities. A good human developer can play devil's advocate for 30 minutes and come up with edges that would decimate any AI on the horizon. But, take that same pile of edges and hand them to a product wizard, and that person will give you all kinds of workarounds that would be acceptable to the end customer. Kick it back over the wall to the developers and you have happy customers. I don't think it will last forever, but the most complex domains seem to be the safest ones for a human developer's career prospects.