If you want to talk about ML, using the term "AI" instead is so vague that it is misleading.
Machine learning is basically a series of tasks (clustering, classification, reinforcement learning, etc) unified only by the fact that they are types of statistical inference.
In contrast, artificial intelligence encompasses much larger swath of problems -- robotics, natural language processing, computer vision, combinatorial search, and so on.
So while AI uses ML techniques heavily, it is wrong to say that it is given or even likely that AI entails ML. Sometimes it does, sometimes it doesn't.
We should pick exactly one thing we want to do well, and then go do it well.