It's ironic that von Neumann said that poker isn't susceptible to computation while a few decades later, the game theory that he invented was used to create poker bots that are provably (within epsilon) unbeatable.
This is what I thought as well. The article highlights some differences in game structure and how that impacts strategies, but the whole cut off between perfect information and imperfect information seems fetched since in both cases it's humans responding to stimuli and computers being able to do that more effectively. And what I took away from poker in the early '00s was that even bluffing is optimization albeit under uncertainty. Counting the outs etc. to make informed bluffs, not random ones. Well it got me a year of tuition but it was boring as hell playing six screen no fold'em holdem. What was more interesting looking back was the building of databases of hands to spot regular fishes at tables and waiting for a seat there.