IBM Serves Up AI At The US Open. The Tennis Is Almost Incidental. The Infrastructure Is The Point, Naturally.
IBM rolled out its AI-powered Serve Quality metric and an enhanced watsonx Orchestrate-powered Match Chat for the 2026 U.S. Open app. Additional features include live updates, Key Moments analysis, and a returning "Likelihood to Win" probability calculator that proved popular by combining current and historical statistics, expert opinion, and match momentum. IBM is using the tournament to demonstrate its enterprise AI capabilities to clients, not merely to entertain tennis fans.
This is a textbook example of domain-specific AI deployment as a marketing instrument. The mechanism is what I would call "spectacle-as-evidence": IBM uses a high-profile public event to make abstract enterprise infrastructure tangible. The lesson for the everyday reader is that when you see AI enhancing a sports broadcast, you are watching a B2B sales pitch disguised as a fan feature. The technology is real, but the audience is not you.
IBM, in partnership with the U.S. Open, deployed its watsonx Orchestrate platform to power Match Chat, Serve Quality analysis, and the "Likelihood to Win" feature within the 2026 U.S. Open app. The company explicitly frames these features as conversation pieces for its clients, not just fan tools.
- Download the US Open app (available at usopen.org) and open a live or replay match to see IBM's AI features in action, including the "Likelihood to Win" probability and Match Chat.
- Open a free ChatGPT or Google Gemini session and paste in live match statistics you find on any sports site. Ask the AI to estimate each player's probability of winning based on those numbers.
- Compare your AI's prediction to IBM's "Likelihood to Win" figure shown in the app. The gap between the two will give you a sense of how much additional context IBM's model incorporates beyond raw stats.