Umpires, referees, and other sports officials

What AI will never replace

Managing two coaches screaming at each other after a contested call in a high school basketball game—physically stepping between them and restoring order—is a human authority task no camera system performs. Officials make real-time judgment calls on intent, like whether a slide tackle was reckless or a player flopped, requiring interpretation of body language and competitive context. A Little League umpire adjusts the strike zone for eight-year-olds, manages crying players, and keeps the game fun—a role that's fundamentally about human presence and discretion.

AI exposure: 5/10

The occupation is a hybrid of physical presence and objective data processing. While computer vision and AI can already automate 'calls' (like strike zones or out-of-bounds) with higher accuracy than humans, the role still requires physical presence to manage player conduct, ensure safety, and handle real-time interpersonal disputes on the field.

AI advantage: 3/10

While AI and computer vision are increasingly used for automated officiating (like ball-tracking or VAR), the core work remains a physical, on-site presence requiring human management of player behavior and split-second field judgment. AI tools primarily serve as high-level aids for review or training rather than daily productivity boosters for the average official working at the youth or high school level.

Job growth outlook: 1/10

AI and computer vision systems (like automated strike zones and VAR) are increasingly capable of making objective calls more accurately and faster than humans, directly threatening the core duties of this role. While human officials may remain for social, safety, and dispute-resolution reasons, the total number of officials required per event is likely to decrease as technology automates officiating tasks.

Career details

• Typical education: High school diploma or equivalent
• Median annual pay: $38,820
• 10-year outlook: Faster than average