Across industries, a familiar frustration is taking hold: “AI” seems to be at the root of rising prices, dwindling availability, and a general sense of things falling apart. From computers to consumer electronics, the impact is undeniable. But let’s step away from the digital chaos for a moment and consider a different arena – the baseball diamond.
The 2026 Major League Baseball season recently began, and it too, is experiencing the influence of artificial intelligence. A new system allows players to challenge the home plate umpire’s ball and strike calls, a pivotal aspect of the game that can dramatically alter the course of an at-bat, an inning, or even the entire game.
This Automated Ball-Strike System, or ABS, essentially functions as a robotic umpire. It meticulously tracks each pitch, determining whether it falls within the batter’s strike zone. While tested extensively in the minor leagues and in South Korea, it’s now being implemented on baseball’s biggest stage, though with a unique twist.
Unlike other leagues, ABS doesn’t immediately call balls and strikes. Instead, players – the pitcher, catcher, or batter – can challenge the umpire’s decision. Upon challenge, the system displays precisely where the pitch landed in relation to the strike zone, as defined by the ABS. This has sparked considerable debate, not just because it represents “AI” replacing a human element in a traditionally human-driven environment.
The strike zone itself isn’t a fixed entity. In Major League Baseball, it’s dynamically calculated based on the batter’s physical dimensions – specifically, the midpoint between their shoulders and uniform pants, and a point below the kneecap. This means shorter players, or those with a lower stance, effectively receive a smaller strike zone, giving them a distinct advantage.
Historically, this advantage has been exploited. There were even instances of teams seeking out players of diminutive stature, hoping to create “impossible to strike out” batters, though these were often gimmicks. Now, the introduction of ABS has led to a curious phenomenon: a shrinking league.
Players are actively adjusting their officially recorded heights. A report revealed that over half the league – 225 players – have lowered their stated height, most by an inch, with some reducing it by as much as three inches. Are these corrections of past inaccuracies, or a strategic attempt to gain a more favorable strike zone? The answer likely lies somewhere in between.
The drama surrounding ABS has quickly captured the attention of baseball fans. The phrase “You can’t defeat the robots” has become a popular meme, reflecting the growing reality that a computer now holds some sway over ball and strike calls. Online trackers meticulously record the number of challenges made, and whether they were successful.
Understandably, professional umpires aren’t entirely pleased. The first challenge occurred on opening day, with the first successful challenge following the next day. However, challenges are limited. Unlike the Korean Baseball Organization, where every pitch is called by the system, MLB teams are restricted to just two challenges per game, with a bonus challenge awarded for a successful appeal.
With a typical MLB game requiring over 150 pitches, the timing of these challenges is becoming a crucial strategic decision. It mirrors the challenge system used in the NFL, though final replay decisions there are still made by humans. Even base calls are increasingly subject to human-reviewed replays, gradually transforming umpires into more symbolic figures on the field.
This raises a fundamental question: is the ABS system accurate in its assessment of the strike zone, and ultimately, is it improving the game? The debate continues, but one thing is certain – the intersection of baseball and artificial intelligence is creating a fascinating, and often contentious, new chapter in America’s pastime.
