What do you think are the short comings and gaps of AI?

The lack of transparency around the resources used to use and build AI. This is a general problem in tech but we have the opportunity to be better with a new technology like this, but the problem is perpetuated and it's creating huge misinformation. We are back to using Excel to build lists instead of using it's true potential and that's simply because of the lack of training on what AI should really be used for.

AI uses predictions, which can lead to projections, that might not resemble factual truth. So although it's very helpful in many ways it lacks reliability.

AI still misses the things that matter most. It can read the words, but it can’t read the room or sense the small cues people pick up on. It follows patterns, not lived experience, so it won’t challenge your assumptions or spark a new way of thinking. Also, most problems in teams live in the quiet gaps- handoffs, unspoken expectations, early misalignment, and decisions that drift without anyone noticing. These are the places where AI could help, but right now it doesn’t see them the way humans do.