To me, one of the best uses of this generation of AI would be as an aid to decision making. Your personal Skynet learns representations of data that help you make decisions, and watches out for worrying signs that you may be missing (perhaps based on your known mistake patterns, adapting as those change).

Meanwhile, human domain experts still look at the details and are able to add their own understanding of broader context, human nature, etc.

In this world, AI/ML primarily increases quality by augmenting human abilities rather than decreasing cost by automating humans out of the system. It's a smaller market maybe, but there are areas where better work can fetch a premium.

I think part of this is the lack of well understood patterns for the plumbing and UI of a system like this that makes it easy and useful and non-threatening to users. It's nothing that someone couldn't figure out, but not as well paved a road as integrating a caching, search, or image processing subsystem.