I thought there was a name for this(cant find it), but its not just devs, its most people with a deep technical expertise.
I remember watching a youtube video about this, where they used Neil deGrasse Tyson as a case study. Showing cases of him confidently saying wrong things in fields he's not very knowledgeable in.
I think k8s has a learning curve, absolutely, and there are absolutely cases where it can be unnecessary overhead. But I actually think those cases are pretty small. If you're running multiple apps, k8s is valuable. There is initial investment in learning the system, but its v-extensible, flexible, & portable. (Yes, every hyperscaler's implementation of k8s has its own nuance in certain places, but the core concept of k8s translates very well)