IBM Bets Big on AI-Powered Fan Tools for the US Open, Betting Trust Beats Hype

IBM and the United States Tennis Association unveiled a new suite of AI-powered fan features for the 2026 US Open, deepening a technology partnership that dates back to 1992 and now reaches more than 14 million tennis fans globally each year through USOpen.org and the tournament's mobile app.

The centerpiece of this year's rollout is a redesigned Live Updates homepage that lets fans prioritize favorite players and surface the matches, stats and storylines most relevant to them, replacing a more generic feed with a personalized one built on IBM's AI infrastructure. The company frames the shift as a response to fans wanting to cut through information overload rather than simply consume more content.

The more technically ambitious addition is a new Serve Quality metric, available across all 254 singles matches at the tournament. Built on limb-tracking technology developed with IBM Bob, the tool captures 21 data points across a player's body and racquet, sampled 50 times per second, to analyze serve mechanics in granular detail — from wrist flex at contact to how energy transfers from the legs through the torso into the shot. Across the full tournament, IBM says the system will generate roughly 1.2 billion data points.

That kind of biomechanical detail moves well beyond traditional broadcast stats like serve speed or first-serve percentage, giving both fans and, potentially, coaches and broadcasters a far richer dataset on what separates elite serving mechanics from average ones. It also underscores how deeply computer vision and AI have penetrated tennis officiating and analytics in recent years, following the sport's broader shift toward electronic line-calling and data-driven broadcast enhancements.

IBM paired the product announcement with new survey data from Morning Consult, commissioned by IBM, that gives the release a clear commercial rationale: 91% of global tennis fans surveyed said they use sports apps during events, and 64% reported high trust in AI-powered sports content. IBM frames this as evidence that accuracy — not speed — is now what shapes fan expectations for digital sports experiences, a notable data point at a moment when AI-generated content elsewhere has faced skepticism.

For IBM, the US Open has long served as a flagship showcase for its enterprise AI and data capabilities, giving the company a high-visibility proving ground to demonstrate products to potential corporate clients well beyond sports. Each year's tournament effectively doubles as a live marketing event for IBM's broader AI and hybrid cloud business, making the scale of the US Open deployment — 254 matches, over a billion data points — as much a pitch to enterprise buyers as a fan-facing upgrade.

For the USTA, the continued investment keeps the US Open positioned among the most technologically sophisticated events in global sports, a distinction that has commercial value in sponsorship conversations and helps justify premium pricing for tournament media rights and hospitality packages.

The trust figures IBM is publicizing also matter beyond tennis. As more leagues and federations layer AI-generated commentary, personalization and predictive stats onto their apps, the data point that nearly two-thirds of fans trust AI-powered content gives rights holders and technology vendors alike a talking point to justify further investment in AI tools, at a time when other applications of generative AI in media have drawn public wariness.

The 2026 US Open will serve as the live test of whether that fan trust holds up against a system tracking every serve in real time — a bet that granular, verifiable AI analytics can win over skeptics in a way that more opaque generative AI content has struggled to.