Hey surfer696, how are you doing?
Well, I work with I.T. and I am a bit familiar with A.I., so let me try to add some key concepts to have in mind.
First, the tradicional approach of computer analysis for any game was brute force: computers are far more powerful than humans in brute force calculation. However, this can be quite expensive, both in terms of resources and time. The human mind, in other hand, is quite powerful in directing attention to most important subjects. Humans evaluate new aspects by previous experience, something that a computer does not do using brute force. While this was a great advance, at some point the results will be limited.
The premise of an AI is try to achieve the best of both worlds, trying to make a machine "learn" new concepts by somehow training it to use previous results, trying to simulate human mind and intelligence. This can increase our comprehension in so many subjects, because now we don't need to many hours of processing to evaluate complex things. But this "AI revolution" is quite similar to the computer revolution many years ago.
Why am I pointing all that stuff? In the same way that computers changed our comprehension of poker, AIs will probably have a huge impact in game theory. But, the same way computers did not kill the game, AIs will not kill the game too: we have to learn how to use it to benefit us in terms of learning and training and better understanding the game. Maybe 90% of the game will still be the same; concepts like position, psychology and many others will always be fundamental.
Of course, this will also raise security and ethics issues, but it is part of the process. I encourage everyone to embrace and use these tools to improve.