Very interesting. This is pretty much the opposite of the idea I've had for making Go more beginner-friendly.

I think some beginners could benefit from see the more complex nature of Go, by letting them focus on large scale matters, and ignore the tactics of battle. The way to do this would be to let the player choose which general region of the board they want to play in, but have their stone snap to the locally best intersection as their cursor moves across the board. (The snapping, I suppose, could vary in distance depending on how much stronger the strongest move is. A very strong/important move could snap from across a quarter of the board, but if it's a less important move they'd effectively have to hover on one of its neighbours for it to be suggested.)

So effectively the player would get unassisted practise at spotting which groups of stones are weak, and where influence needs to be strengthened, but simultaneously have AI assist in dealing with local battles and making life.

I suspect this would make Go play more like a traditional RTS video game: at lower levels, the player bosses over more general goals, and individual units make local decisions on when to shoot and how to move places through a primitive AI. At higher levels, the human player takes over more of the local decision making in improving their "micro".