AlphaGo had a lot of driver code involved to make it tick, it wasn't just a big network deciding what to do. You would need something similar here, without someone figuring out that driver code you aren't revolutionizing anything with todays neural networks.
Yes, since Go is a very simple game. Making a proper driver for much more complex domains like engineering blueprints is not something we know how to do today.
Edit: Also you are missing the Go engine in that comment, it can't train without a Go engine to train against that evaluates the results of each move. That Go engine is a part of the training algorithm and thus is also a part of the driver code, you would need to produce something similar to train a similar AI for other domains. We don't know how to write similar blueprint engines or text evaluation engines, so we can't expect such AI models to produce similar results.
