For the average tennis player, watching a Grand Slam can be as much about learning from the professionals as it is about enjoying the competition. At the 2026 US Open, IBM and the United States Tennis Association (USTA) are using artificial intelligence to make that experience more personal, easier to follow and more informative.
The biggest change is a new Live Updates homepage on USOpen.org and the US Open app. Instead of scrolling through a huge amount of tournament information, fans can prioritize their favourite players and quickly find the matches, stories and insights that interest them. For a recreational player following a favourite star, it means less searching and more time watching tennis.
AI is also offering a closer look at one of the most important shots in the game: the serve. The new Serve Quality metric analyses every serve in all 254 singles matches using limb-tracking technology. It follows 21 points on the player’s body and racquet 50 times per second, turning complex movement data into an easier-to-understand measure of serve quality.
That could be particularly useful for club players. Rather than simply seeing that a professional hit a fast serve, fans can get more insight into the mechanics and quality behind it—potentially giving them ideas to take onto their own practice court.
AI is also helping fans understand momentum. Key Moments identify important turning points, while Likelihood to Win uses match statistics, historical data, expert opinion and momentum to show how the contest is changing. An upgraded Match Chat assistant lets fans ask questions and receive answers using live data, analysis, photos and video.