How AI is reshaping the U.S. Open for players and fans

At this year's U.S. Open tennis tournament, IBM's AI platform Watsonx is processing data from cameras around Arthur Ashe Stadium to generate real-time insights for players and fans via the U.S. Open app, including a new 'serve quality' metric scored out of 100. The system tracks ball, racket, and player body movements — such as elbow flexion and wrist flex velocity — and is expected to produce over one billion data points by tournament's end, according to IBM's technical program director Tyler Sidell. During Coco Gauff's match against Turkey's Zeynep Sönmez on Tuesday, AI-generated analysis tracked key moments and each player's win probability in real time.