Wimbledon is famous for strawberries, tradition, and the kind of suspense that makes you forget your phone exists. But underneath the all-white spectacle, IBM is running a system that turns match chaos into numbers. Across the Championships, Wimbledon’s hidden technology hub, nicknamed “Court 19,” processes 2.7 million data points, including ball speed, shot placement, and momentum swings.

That scale matters because IBM is not using Wimbledon just as a cool logo moment. It is using the tournament as a real-time, high-scrutiny proving ground for how AI and data-driven tech can be deployed without triggering the kind of mistrust that can sink executive AI rollouts. IBM built Wimbledon’s website in 1995 and its app in 2009, introduced AI features in 2017, and this partnership was extended until 2030 to support a new digital transformation plan aimed at engaging “more people in more places, more often, in more meaningful ways,” according to Wimbledon’s marketing and commercial director Usama Al-Qassab.

And the tournament is effectively a funnel that IBM needs to convert. More than half a million visitors attend Wimbledon over the Grand Slam fortnight, but they are a fraction of the audience watching digitally. Wimbledon generated roughly 18 billion impressions across its digital channels, reaching an estimated 730 million people in 2025, according to the All England Lawn Tennis and Croquet Club. Meanwhile, in the past year, visits to the official Wimbledon website and app increased by over 20%, and registrations to myWimbledon grew by 39%. The app operates year-round for ticketing, player services, and member bookings, then traffic surges during the Championships.

So the real stakes here are not just whether Wimbledon has good tech. It is whether IBM can demonstrate that tech works accurately at “maximum scrutiny” under pressure. Kameryn Stanhouse, IBM’s vice president of global sports and entertainment partnerships, tells Fortune there is a “real fear around AI” among executives. Not because leaders doubt they need to adopt it, but because they know their jobs may be on the line if they roll it out badly.

That fear is not just corporate anxiety. The source points to fan sentiment and real-world missteps in the same category of technology. A 2025 study by Capgemini found that 70% of sports fans want real-time match data, but more than half worry that too much technology erodes the authenticity of watching sport live. Wimbledon has also dealt with controversy in adjacent tech: in 2025, the tournament replaced its 300 line judges, a fixture for 147 years, with an automated electronic line-calling system. The debut was rocky, with the system missing three calls during a quarter-final match and, in another incident, calling “fault” mid-rally, forcing an umpire to intervene.

To be clear, that line-calling system runs on Sony’s Hawk-Eye, not IBM. But the episode still hangs over every conversation about handing match-changing decisions to machines. Tennis players have voiced doubts: the current fifth-ranked British player Jack Draper questioned the system’s precision, and Emma Raducanu said she did not fully trust it, calling some rulings “dodgy.” For fans, the vendor name barely matters when an error derails a match.

IBM’s answer is that its own features are “human-led,” with a governance layer that scores confidence and checks for bias before anything reaches a fan in real time. Stanhouse is keen to emphasize the distinction, but the governance claim is only as comforting as the proof behind it. In the traditional Wimbledon model, line judges could be challenged, crowds would hush, and the ball’s flight would be replayed on the big screen. Even IBM’s “Likelihood to Win,” a prediction tool that recalculates player odds after every point, inevitably changes the texture of suspense.

That tension between modernization and authenticity is why sport is such a brutally effective test environment. Wimbledon is the oldest of the four Grand Slam tournaments and steeped in traditions, including its all-white dress code. Al-Qassab argues AI is a productivity tool that helps Wimbledon serve different audiences without changing the experience itself, saying he is “not convinced that it will alienate people.” He notes that most spectators watch matches and only check phones between points, and that the balance is “working very well.”

Beyond Wimbledon, IBM is building a portfolio effect. IBM has helped reshape fan experiences at major events including the U.S. Open Golf Championships and the Masters. The business is increasingly crowded, too. The global sports market is forecast to be worth more than $600bn by 2030, according to consultancy Kearney, and IBM is far from the only technology company using sport to prove its AI works before selling it elsewhere. Stanhouse frames the industry advantage bluntly: sport generates enormous volumes of data under pressure. If a tool works during a match under maximum scrutiny, it has survived a harder test than many enterprise pilots.

IBM’s work on Wimbledon’s digital stack also illustrates the operational side of “AI readiness.” To rebuild the app and website, IBM used a development accelerator it calls Bob, which migrated more than 15,000 digital assets, including articles, photos, videos, and their metadata, to a new platform. Stanhouse says what would traditionally take five specialists months was done by a single engineer in a month, and that the final transfer took just 47 minutes. The subtext for decision-makers is straightforward: execs do not just need models that predict. They need workflows that ship, and governance that doesn’t break when traffic spikes.

Looking forward, Stanhouse expects hyper-personalization and remote experiences to shape sports fan engagement. IBM built a Masters app for Apple Vision Pro, letting golf fans watch the tournament in an immersive format, and she expects tennis to follow. She also flags quantum computing as something IBM is exploring, though it has yet to find a use case within sports.

The final reason Wimbledon matters to everyone outside sports is that it forces executives to wrestle with the irreducible truth of the domain: outcomes are unpredictable. Stanhouse notes, “No one will ever really know who is going to win,” and even a physical issue can change everything mid-tournament. That uncertainty is exactly why technology can’t be treated like magic. It has to be accurate, governed, and resilient, or it becomes another way to lose trust. Wimbledon is IBM’s stage. For boards and leadership teams trying to evaluate AI responsibly, “Court 19” is the live demo they can point to when the question is not whether AI can work, but whether it can work without blowing up on day one.