Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Sports Officials:
48.4%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forUmpires, Referees, and Other Sports Officials
$40,710 median salary•4,300 annual openings•SOC Code: 27-2023.00
Umpires, Referees, and Other Sports Officials are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Sports officiating is "Somewhat Resilient" because AI is already taking over the most clear-cut, objective calls (like balls and strikes in baseball or offside decisions in soccer), which means the job is genuinely changing in meaningful ways. The good news is that the human parts of officiating, like managing player emotions, reading the flow of a game, making judgment calls on fouls, and keeping everyone safe, are exactly what AI struggles with most.
Learn more about how you can thrive in this position
This role is somewhat resilient
Sports officiating is "Somewhat Resilient" because AI is already taking over the most clear-cut, objective calls (like balls and strikes in baseball or offside decisions in soccer), which means the job is genuinely changing in meaningful ways. The good news is that the human parts of officiating, like managing player emotions, reading the flow of a game, making judgment calls on fouls, and keeping everyone safe, are exactly what AI struggles with most.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Sports Officials
Updated Quarterly

How is AI changing Sports Officials jobs?
AI is already changing sports officiating, but for now it mostly augments referees rather than replacing them. In baseball, Major League Baseball's competition committee voted to implement a challenge system for balls and strikes in the 2026 season, ushering in the era of robot umpiring. The ABS system uses similar technology to the line-calling system in tennis, with 12 cameras in each ballpark tracking the ball with a margin of error around one-sixth of an inch.
The NBA is heading the same direction — as Front Office Sports reported [1], commissioner Adam Silver said "Those calls will be done by an AI, automated system with cameras lined around the court. It will take all those so-called objective calls out of the hands of the referees", while subjective calls like fouls will continue to be done by referees, allowing them to put their "full attention" on calling fouls properly. Soccer is going even further: Advanced Semi-Automated Offside Technology will feature at the FIFA World Cup for the first time, allowing faster offside decisions, and unlike the 2022 system, clear offsides will now be sent directly to the match officials on the pitch.
Still, experts stress limits. As one University of Rochester computer vision professor explained, computer vision won't replace referees at the World Cup [2] — multiple cameras enable the triangulation of the ball, players, and boundaries to create precise 3D reconstructions that are then provided to officials who make the final call. Trade publication Referee has long documented how video and tech tools have drastically altered the way officials do their jobs [3], but human judgment on fouls, safety, and game flow still rules.
Sources

How fast is AI adoption growing for Sports Officials?
Adoption is moving quickly at the top pro leagues because the tech works and the money is huge. During MLB's spring test, teams combined to average around four challenges per game and succeeded 52.2% of the time, proving accuracy gains. Commissioners across leagues are on board — the NHL's Gary Bettman said "embracing technology" is an important way to improve the on-ice experience, adding "We think AI is going to help us fine-tune some of the issues, such as: 'Where exactly is the puck?'".
But full replacement will be slower. Ethical, cultural, and rulebook concerns matter: Hawk-Eye has faced backlash from players due to wrong calls, most recently from tennis star Elena Rybakina, who claimed an AI-ruled call against her was "absolutely wrong". Cost is another brake — installing 12+ synchronized tracking cameras and AI systems is affordable for MLB, the NBA, and FIFA, but not for high schools, youth leagues, or rec sports, where most officiating jobs actually live.
That's important, because amateur sports face a well-documented referee shortage, meaning AI may fill gaps rather than take jobs. For young people curious about this career: the on-field human role — managing players, coaches, safety, and game feel — is exactly the part AI is worst at, so referees who learn to work with the tech will likely be more valuable, not less.

Will AI replace Sports Officials?
Not entirely. We think AI will take over some tasks, but not the whole job.
Sports officiating is already changing fast. MLB is rolling out an automated ball-strike challenge system in 2026, the NBA's commissioner has said objective calls will shift to AI-powered cameras, and soccer's World Cup is using semi-automated offside technology that sends decisions directly to on-pitch officials [1]. These are real shifts, not distant possibilities.
But the job does not disappear. As a University of Rochester computer vision professor points out, AI tools create precise reconstructions that are then handed to officials who make the final call [2]. Subjective decisions, player management, safety, and game flow all still require a human in the moment. Trade publication Referee has documented for years how technology reshapes officiating without eliminating it [3]. The human layer is exactly what AI handles worst.
Our 48.4% AI Resilience Score reflects that tension: real disruption, but not full replacement. The economic picture is the toughest part of this story, with earning potential and adaptability scoring low. Still, amateur and youth leagues face a documented referee shortage, meaning AI is more likely to fill gaps than eliminate positions. Referees who learn to work alongside the technology will be in the strongest position going forward.
Sources

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Latest AI news for Sports Officials
These articles highlight the evolving role of AI in officiating sports, illustrating both opportunities and challenges for aspiring umpires and referees. For instance, the use of AI in cricket's Decision Review System aims to enhance accuracy in calls, while automated systems in Major League Baseball promise to streamline officiating. Understanding these technologies can empower future officials to collaborate with AI, ensuring fairness while maintaining the spirit of the game. By embracing AI, students can enhance their careers in officiating, adapting to advancements while preserving their critical human judgment.

Former Olympic skier, CU Buffs star using AI in sports to prevent missed calls
www.denver7.com • 3/2/2026
Athletes and fans see it all the time: referees, umpires and judges sometimes make the wrong call. Could artificial intelligence make that a...

Are robo-referees making sports more fair or less fun?
www.wbur.org • 10/2/2025
Major League Baseball will add an automated ball-strike system next season. How human judgement is giving way to technology across the...

AI officiating is coming to the NFL. Will it help?
sports.yahoo.com • 8/28/2025
Since the formation of the NFL, officiating games has fallen entirely to stripe-shirted humans. Now, with AI technology leaping forward,...

Can Robot And AI Umpires Improve Cricket & Kabaddi In India?
www.outlookindia.com • 6/20/2025
From cricket's DRS to kabaddi's rapid plays, learn how AI-powered officiating could bring fairness and precision to Indian sports decisions.

AI in sports judging is already here, bringing both advantages and potential pitfalls
www.cbc.ca • 1/24/2025
Of the four judges used to score the boxing match between Oleksandr Usyk and Tyson Fury last December, one was missing a significant trait...
More Career Info
Career: Umpires, Referees, and Other Sports Officials
They ensure fair play in sports by enforcing rules, making calls, and resolving disputes during games.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$40,710
Jobs (2025)
18,200
Growth (2025-35)
+5.2%
Annual Openings
4,300
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Confer with other sporting officials, coaches, players, and facility managers to provide information, coordinate activities, and discuss problems.
2
Officiate at sporting events, games, or competitions, to maintain standards of play and to ensure that game rules are observed.
3
Resolve claims of rule infractions or complaints by participants and assess any necessary penalties, according to regulations.
4
Signal participants or other officials to make them aware of infractions or to otherwise regulate play or competition.
5
Direct participants to assigned areas, such as starting blocks or penalty areas.
6
Judge performances in sporting competitions to award points, impose scoring penalties, and determine results.
7
Inspect game sites for compliance with regulations or safety requirements.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
