I'd argue there's a qualitative difference between using machine learning for specific data analysis tasks, and using a generic agentic AI system controlled by some corporate entity. The association of the term 'AI' with the latter is increasing.
Sorry, I meant the subjects (LLMs, ML, AI) are intertwined, not the people. But what I was getting at with my comment is that (IMO) most people see them as distinct things, even on HN where most know that LLMs use ML. As an analogy, it's like physics versus mathematics: separate subjects in most everyone's mind, and even separate academic departments, but physics is still math.