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Singulariki

Coaches and Scouts

Occupation · SOC 27-2022.00

Instruct or coach groups or individuals in the fundamentals of sports for the primary purpose of competition. Demonstrate techniques and methods of participation. May evaluate athletes' strengths and weaknesses as possible recruits or to improve the athletes' technique to prepare them for competition. Those required to hold teaching certifications should be reported in the appropriate teaching category.

Also called: Basketball Coach · Coach · Football Coach · Track and Field Coach · Baseball Coach · Cross Country Coach · Gymnastics Coach · Soccer Coach · Softball Coach · Volleyball Coach · Athletic Coach · Athletic Instructor

Job family: Arts, Design, Entertainment, Sports, and Media Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-27-2022-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

Often handed to AI

Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.

  • Teach instructional courses and advise students. · 0.4%
See how AI is used here →

Use as a copilot

Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.

  • 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. · 2.2%
  • Provide training direction, encouragement, motivation, and nutritional advice to prepare athletes for games, competitive events, or tours. · 1.3%
  • Plan and direct physical conditioning programs that will enable athletes to achieve maximum performance. · 1.1%
See collaboration patterns →

Keep a human in the loop

Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.

  • Explain and enforce safety rules and regulations. · 100.0% need a human
  • Explain and demonstrate the use of sports and training equipment, such as trampolines or weights. · 97.9% need a human
  • Teach instructional courses and advise students. · 97.7% need a human
See the boundary tasks →

51st-percentile task overlap — yet about 41,800 openings a year (+6.4% projected, BLS), and observed AI use leans 5519% copilot, not hand-off (AEI) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 51st 0.1
LLM task exposure, γ (OpenAI / Eloundou) Moderate 45th 0.5
AI assistant applicability (Microsoft) Moderate 58th 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.3), and including AI-powered software (γ 0.5). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.0 · 8th percentile among occupations · Low

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Explain and enforce safety rules and regulations. 0.7%
Explain and demonstrate the use of sports and training equipment, such as trampolines or weights. 0.4%
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. 0.3%
Provide training direction, encouragement, motivation, and nutritional advice to prepare athletes for games, competitive events, or tours. 0.3%
Plan and direct physical conditioning programs that will enable athletes to achieve maximum performance. 0.2%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +6.4% by 2034
Projected annual openings 41,800
Employment 2024 → 2034 306,500 → 326,000

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

37% mean task exposure (2025)
71st percentile of 427 placed occupations
+1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Sports Coaches, Instructors and Officials · 3422 37% Minimal

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Working with AI in this job

How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.

Augmentation vs. automation 55.2% working with AI · 28.6% handed to AI
Most common way people use AI here Learning · you ask AI to explain or teach
Typical AI autonomy 4.0 / 5 · higher = AI acts more independently
Used for work (vs. personal / coursework) 5.3%

What people delegate to AI

The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.

Task How Usage
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. Learning 2.2%
Provide training direction, encouragement, motivation, and nutritional advice to prepare athletes for games, competitive events, or tours. Iteration 1.3%
Plan and direct physical conditioning programs that will enable athletes to achieve maximum performance. Iteration 1.1%
Plan, organize, and conduct practice sessions. Iteration 0.5%
Explain and demonstrate the use of sports and training equipment, such as trampolines or weights. Learning 0.5%
Teach instructional courses and advise students. Directive 0.4%
Explain and enforce safety rules and regulations. Learning 0.4%
Evaluate athletes' skills and review performance records to determine their fitness and potential in a particular area of athletics. 0.3%

Where a human is still needed

Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.

Explain and enforce safety rules and regulations. 100.0%
Explain and demonstrate the use of sports and training equipment, such as trampolines or weights. 97.9%
Teach instructional courses and advise students. 97.7%
Plan, organize, and conduct practice sessions. 96.1%
Provide training direction, encouragement, motivation, and nutritional advice to prepare athletes for games, competitive events, or tours. 92.8%
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. 92.6%

What people most often hand AI here

Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.

  • Help me 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.

    From: 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. · 2.2% of measured AI use · learning

  • Help me provide training direction, encouragement, motivation, and nutritional advice to prepare athletes for games, competitive events, or tours.

    From: Provide training direction, encouragement, motivation, and nutritional advice to prepare athletes for games, competitive events, or tours. · 1.3% of measured AI use · task iteration

  • Help me plan and direct physical conditioning programs that will enable athletes to achieve maximum performance.

    From: Plan and direct physical conditioning programs that will enable athletes to achieve maximum performance. · 1.1% of measured AI use · task iteration

  • Help me plan, organize, and conduct practice sessions.

    From: Plan, organize, and conduct practice sessions. · 0.5% of measured AI use · task iteration

Tasks

All 28 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Transferable skills

Instructing 4.8
Social Perceptiveness 4.0
Judgment and Decision Making 4.0
Coordination 3.9
Persuasion 3.9
Complex Problem Solving 3.9
Systems Analysis 3.9
Time Management 3.9
Management of Personnel Resources 3.9
Service Orientation 3.8
Negotiation 3.6
Systems Evaluation 3.6

Abilities

Oral Expression 4.6
Oral Comprehension 4.1
Speech Recognition 4.0
Speech Clarity 4.0
Originality 3.9
Information Ordering 3.9
Written Comprehension 3.8
Fluency of Ideas 3.8
Problem Sensitivity 3.8
Deductive Reasoning 3.8
Inductive Reasoning 3.8
Category Flexibility 3.8
Near Vision 3.6
Written Expression 3.5
Visualization 3.4

Essential skills

Speaking 4.4
Learning Strategies 4.1
Monitoring 4.1
Reading Comprehension 4.0
Active Listening 4.0
Critical Thinking 4.0
Active Learning 3.9
Writing 3.6

Knowledge

Education and Training 3.8
English Language 3.7
Administration and Management 3.6
Psychology 3.6
Customer and Personal Service 3.5

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 46.

Tools & technology

Example Category
C++ Object or component oriented development software Hot technology
Facebook Web page creation and editing software Hot technology
Google Docs Word processing software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
Bloomz Desktop communications software
Edmodo Desktop communications software
Edpuzzle Multi-media educational software
Edulastic Computer based training software
Evernote Word processing software
Flipgrid Video creation and editing software
Google Classroom Project management software
Google Drive Cloud-based data access and sharing software
Google Meet Video conferencing software
Graphics creation software Graphics or photo imaging software
GroupMe Instant messaging software
Microsoft Publisher Desktop publishing software
Motion analysis software Analytical or scientific software
Nearpod Multi-media educational software
Online registration software Data base user interface and query software
ParentSquare Desktop communications software
Pear Deck Presentation software
Performance database software Data base user interface and query software
Scheduling software Calendar and scheduling software
Schoology Computer based training software
Screencast-O-Matic Video creation and editing software
Screencastify Video creation and editing software
Seesaw Multi-media educational software
Statistical software Analytical or scientific software
Twitter Instant messaging software
Video analysis software Analytical or scientific software
Video editing software Video creation and editing software
Video file conversion software Data conversion software
Web browser software Internet browser software
Website creation software Web page creation and editing software
YouTube Video creation and editing software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Contact With Others 4.8
E-Mail 4.7
Work With or Contribute to a Work Group or Team 4.4
Indoors, Environmentally Controlled 4.3
Face-to-Face Discussions with Individuals and Within Teams 4.2
Determine Tasks, Priorities and Goals 4.2
Frequency of Decision Making 4.1
Freedom to Make Decisions 4.0
Public Speaking 4.0
Physical Proximity 3.9
Level of Competition 3.9
Spend Time Standing 3.8
Conflict Situations 3.7
Time Pressure 3.7
Telephone Conversations 3.6
Importance of Being Exact or Accurate 3.6
Coordinate or Lead Others in Accomplishing Work Activities 3.6
Health and Safety of Other Workers 3.4
Outdoors, Exposed to All Weather Conditions 3.3
Impact of Decisions on Co-workers or Company Results 3.3
Work Outcomes and Results of Other Workers 3.1
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.0
Deal With External Customers or the Public in General 3.0
Spend Time Walking or Running 3.0
Dealing With Unpleasant, Angry, or Discourteous People 2.9
Exposed to Very Hot or Cold Temperatures 2.8
Spend Time Making Repetitive Motions 2.7
Consequence of Error 2.6
Spend Time Sitting 2.6
Written Letters and Memos 2.6
In an Enclosed Vehicle or Operate Enclosed Equipment 2.5
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.5
Indoors, Not Environmentally Controlled 2.4
Importance of Repeating Same Tasks 2.4
Exposed to Minor Burns, Cuts, Bites, or Stings 2.1
Spend Time Bending or Twisting Your Body 2.0
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.0
Exposed to Contaminants 2.0
Spend Time Kneeling, Crouching, Stooping, or Crawling 1.7
Spend Time Keeping or Regaining Balance 1.6

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
Bachelor's degree · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

What to study: Education , Parks, Recreation, Leisure, Fitness, and Kinesiology , Psychology . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Bachelor's Degree 48.9%
Master's Degree 19.4%
Associate's Degree (or other 2-year degree) 17.4%
High School Diploma 8.9%
Less than a High School Diploma 3.6%
Doctoral Degree 1.8%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Work styles

Dependability 10.0
Cooperation 9.0
Achievement Orientation 8.0
Social Orientation 7.0
Self-Control 6.0
Stress Tolerance 5.0
Perseverance 4.0

Interest areas

Athletics 6.8
Teaching/Education 5.5
Professional Advising 5.1
Public Speaking 5.0
Management/Administration 4.2
Social Service 3.9

Career interests (Holland / RIASEC)

Social 5.3
Enterprising 5.2
Realistic 4.3

Wages & employment

U.S. · annual wages (BLS OEWS)

$27k10th$34k25th$46kMedian$62k75th$94k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
307k2024326k2034 (proj.)+6.4% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $27,490
25th percentile $33,960
Median (50th) $45,920
75th percentile $61,930
90th percentile $93,980
People employed 250,940

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Educational Services · Sector 174,730 $45,810
Arts, Entertainment, and Recreation · Sector 63,720 $46,550
Fitness and Recreational Sports Centers · National industry 23,930 $41,620
Other Services (except Public Administration) · Sector 5,940 $41,780
Administrative and Support and Waste Management and Remediation Services · Sector 800 $62,410
Health Care and Social Assistance · Sector 710 $47,410
Accommodation and Food Services · Sector 710 $52,360
Retail Trade · Sector 70 $37,160
Sporting Goods Retailers · National industry 70 $37,240
Information · Sector $101,210
Real Estate and Rental and Leasing · Sector $49,810
Management of Companies and Enterprises · Sector $37,410

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Fitness and Recreational Sports Centers · National industry 23.32× 23,930
Arts, Entertainment, and Recreation · Sector 14.82× 63,720
Educational Services · Sector 7.87× 174,730
Other Services (except Public Administration) · Sector 0.82× 5,940
Administrative and Support and Waste Management and Remediation Services · Sector 0.05× 800
Accommodation and Food Services · Sector 0.03× 710
Health Care and Social Assistance · Sector 0.02× 710

Part of the Arts, Entertainment, & Design career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Coaches and Scouts sits at the 51st percentile of AI task-overlap and the 22nd percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Coaches and Scouts Exercise Trainers and Group Fitness Instructors Athletes and Sports Competitors Umpires, Referees, and Other Sports Officials Athletic Trainers Recreation Workers Education Administrators, Kindergarten through Secondary Training and Development Managers Instructional Coordinators Training and Development Specialists AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Coaches and Scouts — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 71st percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Coaches and Scouts show 51st-percentile AI task overlap — and about 41,800 annual U.S. openings

  • Coaches and Scouts rank in the 51st percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 41,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+6.4%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $45,920, across about 250,940 U.S. workers.BLS OEWS (May 2024)
  • Of the AI use actually observed for this work, 55% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Coaches and Scouts show 51st-percentile AI task overlap — and about 41,800 annual U.S. openings

• Coaches and Scouts rank in the 51st percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 41,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+6.4%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $45,920, across about 250,940 U.S. workers. (BLS OEWS (May 2024))
• Of the AI use actually observed for this work, 55% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2)

Source: Singulariki — "Coaches and Scouts". https://singulariki.com/roles/role-27-2022-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Coaches and Scouts." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-27-2022-00

APA

Singulariki. (2026). Coaches and Scouts. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-27-2022-00

BibTeX
@misc{singulariki-role-27-2022-00,
  title  = {Coaches and Scouts},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-27-2022-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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