Type of Job:

Blue collar
Generative AI will change white-collar jobs by automating tasks or enhancing work, especially for high-paying roles. Blue-collar jobs will likely grow as demand for premium goods rises.

What Constitutes Artificial intelligence (AI)?

Artificial Intelligence (AI) is a technology that allows systems, whether software or machine-based, to autonomously make predictions, recommendations, or decisions that impact both real and virtual environments without the need for constant human guidance or intervention.

Sources

Author:

aitakingoverjobs.com

aitakingoverjobs.com

Will Umpires, Referees, and Other Sports Officials be replaced by AI & Robots?

Umpires, Referees, and Other Sports Officials risk of being automated:

High

This job is highly likely to be substantially automated within the next 20 years, placing it in the upper quartile for automation probability among occupations.

Current Degree of Automation:

11
(1-100)

Source

Key findings

GenAI is set to revolutionize the role of Umpires, Referees, and Other Sports Officials by automating tasks like ticket collection, guiding patrons to seats, and assisting with lost items.

This technology will streamline operations, enhance efficiency, and improve overall spectator experience.

The future of this work will likely involve AI systems handling routine tasks, allowing professionals to focus on critical decision-making and ensuring fair play in sports events.

How could AI or automation replace or complement job activities?

AI and automation could automate tasks such as information ordering, digital data processing, and memorization for Sports Officials.

These technologies could assist in compiling scores, verifying credentials, and tracking event times.

For example, AI could streamline the process of verifying participants’ credentials before sporting events.

Job description

Officiates at competitive athletic or sporting events, detecting rule infractions and deciding penalties based on established regulations. Includes all sporting officials, referees, and competition judges.

Consequence of Making Errors

30

(1-100)

Not serious at all Source
In hospitality, the low consequence of errors for umpires and referees makes it less relevant for predicting automation trends.

How Repetitive is the Job?

41

(1-100)

Fairly important Source
Automation in officiating sports allows umpires to focus on complex decisions and context, reducing time on repetitive tasks. If it replaces safe duties, job quality may decline; if it removes hazards, it improves.
Average Anual salary USD$
$49,030
Number of profesionals in USA
25,000

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