ESPN Is Using AI to Spot Poker Bluffs

ESPN introduced an AI tool during its World Series of Poker broadcast that tracks player behavior to identify potential bluffs. Developed by engineer Luke Geel, the system monitors factors like blink rate, eye movement, posture, and chip handling. For now, the technology is only applied to players who have already been eliminated from the event.

The project aims to add another layer of analysis for viewers, though it remains a topic of debate. Some poker players argue that the tool feels like cheating or an unnecessary invasion of privacy. Others are interested in using the software to analyze their own footage and improve their performance by spotting their own tells.

While this system is currently focused on cards, the underlying technology has broader potential. Similar tools could eventually track human behavior in other high stakes environments, including business negotiations or sales. As AI agents continue to enter sectors like crypto trading, the use of this software on television will serve as a test for how much data audiences are comfortable having analyzed.