That works because computer game playing was totally different than how humans play. Humans can recognize common patterns, and computers can brute force many possible positions and evaluate them. The two complement each other.

But now AlphaGo beat humans using neural networks that can learn to recognize common patterns similar to humans. And it was combined with tree search to evaluate many more possible positions than a human could.

So I doubt human and AlphaGo would have any advantage over just AlphaGo. In the future the same will become true in many other domains.