> The strength of computers has always been the ability to analyze literally incomprehensible (to humans) amounts of data and derive unique insights from them

AI actually gets into trouble due to the amount of data before humans do. Humans are quicker learners and only need a few iterations of analysis, while current AI needs a plethora of iterations over possible combinations.

For example the OpenAI Dota 2 AI was doing pretty well, but it had to play a restricted version of the game where only about a dozen heroes are allowed out of ~120. Basically only 10% of the complexity. OpenAI never even attempted to compete at the full game before they quit and shut down the project.