Sure, LLMs are a useful tool, and fast, but the point is they don't have human level intelligence, can't learn, and are not autonomous outside of an agent that will attempt to complete a narrow task (but with no ownership and guarantee of eventual success).

We'll presumably get there eventually and build "artificial humans", but for now what we've got is LLMs - tools for language task automation.

If you want to ASSIGN a task to something/someone then you need a human or artificial human. For now that means assigning the task to a human, who will in turn use the LLM as a tool. Sure there may be some productivity increase (although some studies have indicated the exact opposite), but ultimately if you want to be able to get more work done in parallel then you need more entities that you can assign tasks do, and for time being that means humans.