I disagree. Computers have been outplaying the best humans at chess for two decades, but they only recently beat the top players at 2-player NLHE and only with

I disagree. Computers have been outplaying the best humans at chess for two decades, but they only recently beat the top players at 2-player NLHE and only with the aid of massive computational power during training. Furthermore, techniques like monte-carlo tree search used in AlphaGo don't work very well for poker - You can't just try and find the "best move" from the current game state, or you will end up playing a highly-exploitable strategy. You essentially have to solve the entire game every time (or completely in advance) to make sure you are playing a balanced strategy. Only the Counter-Factual Regret Minimization algorithm has been able to achieve this level of play in Heads Up, and right now it looks hard to scale to poker games with more players, like the full-ring games you see at the World Series of Poker, for example. We still have a ways to go in Poker AI.