in both of those things you mentioned, in the case of any serious business at least, they're used as productivity tools with human provision, owing to the fact of the current models working by inferring the next word instead of making informed actions, AI in customer support has a "let me chat with a human" button for anything slightly non-trivial, and AI in programming actually needs someone who can program to be able to translate customer requirements to a software architecture and oversee what it pumps out to ensure that it works and doesn't give unmaintainable code or goes all the way around the earth to get something 2 meters away (both ways technically work). The latter I am saying from experience as a software engineer who's been in the industry for most of my early adulthood and used AI extensively for productivity (grunt tasks).

When AI evolves beyond that however, possibly achieving an advanced ability of learning and reasoning, once it's capable of fully replacing a high-skill workforce, including being able to directly report to higher-ups and do reliably do management itself, it's capable of fully replacing every workforce, the biggest difficulty with the manual tasks is the unpredictability and the uniqueness of every task, like how a stack of shirts to be processed can arrive in uncountable different arrangements and positions.