Wimbledon brings AI-generated commentary to tennis highlights
Wimbledon is teaming up with IBM to roll out AI-generated audio commentary and captions for match highlights on its official app and website. The watsonx platform analyzes court and player tracking data to produce natural tennis commentary in near-real-time. While it is limited to video clips for now, IBM views it as an early step toward AI commentary for full matches.

Wimbledon is officially stepping into the AI era.
The All England Club has partnered with IBM to roll out AI-generated audio commentary and captions for its official online match highlights this year.
The new feature will live natively inside the official Wimbledon app and website, completely separate from the BBC's traditional live television broadcast for the upcoming tournament running July 3 to July 16.
Teaching Watson the language of tennis
Sports commentary is notoriously hard to automate because it relies heavily on nuance, timing, and domain jargon. To tackle this, IBM trained its watsonx AI platform directly on the unique vocabulary of tennis alongside the All England Club.
The system pulls tracking data from multiple sensors scattered across the courts. It tracks the exact trajectory of the ball, player positioning, and specific shot types executed from different spots on the grass.
That data gets crunched by IBM's AI models, passed to a chatbot-style engine that drafts natural language game recaps, and is then piped into a near-real-time text-to-speech engine to generate voiceover commentary and captions.
Alongside the commentary, Wimbledon is also introducing an AI draw analysis tool. IBM says it evaluates how favorable a player's path to the final looks, surfacing potential bracket upsets that regular ATP and WTA rankings miss.
Why it matters
For tennis fans, this basically solves the long-tail problem of sports broadcasting.
During the early rounds of a Grand Slam, dozens of matches happen simultaneously across outer courts. Broadcasters simply do not have the staff or budget to station human commentators on every court, leaving secondary match highlights feeling dry and clinical.
We think starting with short highlight packages is a very smart tactical move. It minimizes the risk of live hallucinations while automating a labor-intensive production workflow that human teams never had time to cover anyway.
It also highlights how fast sports media is moving toward synthetic talent. Just this month, the European Broadcasting Union revealed it would use an AI voice clone of commentator Hannah England for its European Athletics Championships coverage.
That said, pure data can only take you so far. Tennis lives on psychological tension, crowd reactions, and momentum shifts. An AI can tell you a shot landed two inches inside the baseline at 125 mph, but it cannot authentically capture the emotional weight of a break point.
Sources (1)
- theguardian.com(opens in a new tab)Originaltheguardian.com