AI training is currently a process of making the AI remember the dataset. It doesn't involve the AI thinking about the dataset and drawing (and remembering) conclusions.
It can probably remember more facts about a topic than a PhD in that topic, but the PhD will be better at thinking about that topic.
Its a bit more complex than that. Its more about baking out the dataset into heuristics that a machine can use to match a satisfying result to an input. Sometimes these heuristics are surprising to a human and can solve a problem in a novel way.
"Thinking" is too broad a term to apply usefully but I would say its pretty clear we are not close to AGI.
It can probably remember more facts about a topic than a PhD in that topic, but the PhD will be better at thinking about that topic.