Some of the more interesting AI research is being done in the area of developing very accurate models of the real world. This way the many varied iterations needed to develop the AI model can be done without the same physical limitations of aggregating human data. Games are definitely in this same realm, although it's not always practical to make a human playable simulation-game and an AI playable simulation game given development constraints.

What I find fascinating is what AR might do for training AI models. To execute on AR we'll need to digitize a model of our physical surroundings so the software can interact. At that point we'll have a compelling pipeline of actionable data in regards to machine learning - especially for robotics.