Artificial Intelligence Is Changing How We Watch The World Series

The World Series remains the pinnacle of professional baseball, where the sport’s most critical moments unfold under the brightest lights. Every pitch, swing, and managerial decision is subject to intense scrutiny, both on the field and in the broadcast booth. This year, another player is making its presence felt: artificial intelligence.

AI is playing an increasingly influential role across the sports industry, and Major League Baseball has emerged as a key area of innovation. From player development and injury prevention to opponent scouting and in-game decision-making, AI has already transformed the internal operations of teams. Now, its impact is extending to the viewer experience. In the 2025 World Series, AI technologies are being used to enhance live broadcasting, streamline production workflows, and deliver faster and more insightful commentary to audiences worldwide.

2025 World Series

This year’s World Series, often referred to as the “October Classic,” features a cross-border showdown between the Los Angeles Dodgers, representing the National League, and the Toronto Blue Jays, representing the American League. As of this writing, the Blue Jays hold a 3–2 series lead in the best-of-seven championship and are just one win away from securing their first title since 1993.

The series has delivered a number of memorable moments, none more dramatic than Game 3 which was a grueling 18-inning contest that ended with a walk-off home run by Dodgers first baseman Freddie Freeman. The game tied the record for the longest in World Series history, in terms of number of innings. With Game 6 shifting back to Toronto, the Blue Jays have a chance to clinch the championship on home soil, while the Dodgers will look to force a decisive Game 7 and keep their title hopes alive.

AI In The World Series Broadcast Booth

This year’s 2025 World Series is notable not only for the teams on the field but also for the major technological upgrade behind the scenes. Broadcasters and production teams are leaning heavily on artificial intelligence to enrich live commentary and ensure the broadcast runs seamlessly.

At the center of this technological shift is FOX Foresight, an artificial intelligence platform developed by FOX Sports in collaboration with Google Cloud, leveraging the latter’s Vertex AI infrastructure. Vertex AI allows developers to build and deploy custom models trained on vast datasets which can then be queried in real time. Trained on multiple seasons of Major League Baseball data, the system enables broadcasters to generate highly specific statistical queries and receive contextual insights in real time. Rather than spending valuable minutes searching for historical data during critical moments, producers and analysts can access relevant information in seconds. This efficiency allows commentators to deliver deeper, more timely analysis, enhancing the broadcast for a modern audience that expects more than traditional play-by-play.

Beyond commentary, AI is also working hard to keep the broadcast itself stable. The Connie system (officially the Connectivity Agent) monitors the myriad of data feeds, connectivity links, live camera networks and streaming pipelines that deliver the games to fans across multiple platforms and countries. Connie can detect anomalies in real time and take pre‑emptive corrective action to avoid disruptions. Given the complexity of a World Series broadcast, with multiple cameras, trucks, international feeds, simultaneous streaming platforms, having an AI that helps prevent technical glitches is no longer optional. It is now part of the production architecture.

AI Umpires Post World Series

Beginning in 2026, Major League Baseball will introduce an Automated Ball-Strike (ABS) challenge system, marking a major step in the sport’s adoption of artificial intelligence. Teams will receive two challenges per game (with extras in extra innings) to contest balls and strikes, using a system powered by 12 cameras. Challenges can be initiated by the pitcher, catcher, or hitter with a simple head tap, and successful challenges are retained. In testing, the ABS challenge system saw a 52% success rate, with catchers proving most accurate. The move aims to increase accuracy and reduce ejections, more than 60% of which stem from ball-strike disputes. It also signals MLB’s broader push to integrate AI on the field in a way that balances precision with tradition.

The World Series as a Case Study in AI-Driven Innovation

The 2025 World Series highlights more than just championship-caliber baseball. It showcases how artificial intelligence is becoming integral to the sport’s future. From real-time broadcast enhancements to the upcoming rollout of AI-assisted umpiring, MLB is steadily embracing technology to improve accuracy, insight, and fan experience.