BETA

Updated: Feb 6

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BETA

Updated: Feb 6

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

66.8%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Coaches and Scouts

They train and guide athletes to improve their skills and find new talent by observing games and evaluating players' abilities.

Summary

A career as a coach or scout is considered "Stable" because, despite the use of AI tools to handle data and routine tasks, the heart of the job relies on human qualities. Coaches are needed for their ability to connect with players, provide motivation, and make personal decisions that technology can't replicate.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info

Summary

A career as a coach or scout is considered "Stable" because, despite the use of AI tools to handle data and routine tasks, the heart of the job relies on human qualities. Coaches are needed for their ability to connect with players, provide motivation, and make personal decisions that technology can't replicate.

Read full analysis

Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Evolving iconEvolving

66.7%

66.7%

Microsoft's Working with AI

AI Applicability

Learn about this score
Evolving iconEvolving

42.1%

42.1%

Anthropic's Economic Index

Evolving iconEvolving

34.9%

34.9%

Will Robots Take My Job

Automation Resilience

Learn about this score
Stable iconStable

97.6%

97.6%

High Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

6.4%

Growth Percentile:

83.4%

Annual Openings:

41.8

Annual Openings Pct:

79.4%

Analysis of Current AI Resilience

Coaches and Scouts

Updated Quarterly • Last Update: 11/21/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

In sports today many teams use smart tools to help coaches. For example, some professional leagues have special AI cameras and trackers that automatically record what athletes do (like shot quality or distance run) [1]. Coaches also use computer programs and video-analysis software to log stats and review game film [2] [3].

This means some routine tasks (like sorting video clips or calculating performance stats) are automated, so coaches spend less time on paperwork. Technology also helps with communicating schedules and plays: cloud-based apps let teams share playbooks and videos quickly [2].

Even with these tools, the human side is still key. Working one-on-one with players, talking through problems or motivating the team – these need a real person. Research notes that “emotional intelligence, trust, and mentorship” remain essential parts of coaching [2].

In other words, apps and AI can give coaches data or send messages (or help arrange schedules), but they cannot replace a coach’s personal advice or encouragement. So while many analytic and record-keeping tasks are being handled by software, coaches keep doing the human parts of the job.

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AI Adoption

AI Adoption

Whether teams adopt AI tools quickly or slowly depends on several factors. Top leagues and schools with big budgets are most likely to buy advanced tech (as with AI tracking cameras in the WNBA [1]). But most coaches work in schools or local clubs [4], which often have tight budgets.

Expensive systems can be hard to afford at that level, so smaller teams might stick to simpler apps or manual methods. On the other hand, there is a strong incentive to use data: studies show that smart analytics (think “Moneyball” in baseball) can give teams a winning edge [2].

In addition, people still value the coach’s judgment. Fans and players generally accept AI support when it helps (say, spotting injuries early or finding talented players), but they also expect coaches to make personal decisions. Socially and ethically, most agree AI should be “tools, not replacements.” In short, teams with money and need will adopt AI to improve performance, but the costs and the importance of human connection mean coaches remain at the center.

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More Career Info

Career: Coaches and Scouts

Employment & Wage Data

Median Wage

$45,920

Jobs (2024)

306,500

Growth (2024-34)

+6.4%

Annual Openings

41,800

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

75% ResilienceCore Task

Hire, supervise, and work with extended coaching staff.

2

75% ResilienceCore Task

Perform activities that support a team or a specific sport, such as participating in community outreach activities, meeting with media representatives, and appearing at fundraising events.

3

65% ResilienceCore Task

Plan and direct physical conditioning programs that will enable athletes to achieve maximum performance.

4

65% ResilienceCore Task

Adjust coaching techniques, based on the strengths and weaknesses of athletes.

5

65% ResilienceCore Task

Instruct individuals or groups in sports rules, game strategies, and performance principles, such as specific ways of moving the body, hands, or feet, to achieve desired results.

6

65% ResilienceCore Task

Keep abreast of changing rules, techniques, technologies, and philosophies relevant to their sport.

7

65% ResilienceCore Task

Explain and enforce safety rules and regulations.

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.

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