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 participants in maintaining exertion levels to maximize benefits from exercise routines. · 0.6%
Occupation · SOC 39-9031.00
Instruct or coach groups or individuals in exercise activities for the primary purpose of personal fitness. Demonstrate techniques and form, observe participants, and explain to them corrective measures necessary to improve their skills. Develop and implement individualized approaches to exercise.
Also called: Aerobics Instructor · Fitness Instructor · Group Fitness Instructor · Personal Trainer · Fitness Specialist · Fitness Trainer · Group Exercise Instructor · Private Trainer · Strength and Conditioning Coach · Yoga Instructor · Aerobics Teacher · Aquatics Specialist
Job family: Personal Care and Service Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-39-9031-00/context.md directly.
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.
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
10th-percentile task overlap — yet about 74,200 openings a year (+11.9% projected, BLS), and observed AI use leans 7705% copilot, not hand-off (AEI) . What exposure means →
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.
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.) Low | 0th | -2.1 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 6th | 0.0 | |
| AI assistant applicability (Microsoft) Moderate | 36th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
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 0.1 · 28th percentile among occupations · Low
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.
| Teach proper breathing techniques used during physical exertion. | 0.4% | |
| Advise participants in use of heat or ultraviolet treatments and hot baths. | 0.4% | |
| Advise clients about proper clothing and shoes. | 0.2% | |
| Instruct participants in maintaining exertion levels to maximize benefits from exercise routines. | 0.2% | |
| Plan physical education programs to promote development of participants' physical attributes and social skills. | 0.2% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +11.9% by 2034 |
| Projected annual openings | 74,200 |
| Employment 2024 → 2034 | 370,100 → 414,200 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
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.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Fitness and Recreation Instructors and Programme Leaders · 3423 | 25% | Not exposed |
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.
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 | 77.0% working with AI · — 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 |
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 participants in maintaining exertion levels to maximize benefits from exercise routines. | Learning | 0.6% |
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Instruct participants in maintaining exertion levels to maximize benefits from exercise routines. | 98.4% |
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 participants in maintaining exertion levels to maximize benefits from exercise routines. From: Instruct participants in maintaining exertion levels to maximize benefits from exercise routines. · 0.6% of measured AI use · learning
All 22 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Customer and Personal Service | 4.3 | |
| Education and Training | 3.8 | |
| English Language | 3.7 | |
| Psychology | 3.6 |
| Instructing | 4.0 | |
| Service Orientation | 3.8 | |
| Social Perceptiveness | 3.1 | |
| Coordination | 3.0 | |
| Judgment and Decision Making | 3.0 | |
| Time Management | 3.0 |
| Oral Expression | 3.9 | |
| Stamina | 3.9 | |
| Extent Flexibility | 3.9 | |
| Gross Body Coordination | 3.9 | |
| Trunk Strength | 3.6 | |
| Speech Clarity | 3.6 | |
| Static Strength | 3.1 | |
| Dynamic Strength | 3.1 | |
| Oral Comprehension | 3.0 | |
| Written Comprehension | 3.0 | |
| Fluency of Ideas | 3.0 | |
| Originality | 3.0 | |
| Problem Sensitivity | 3.0 | |
| Deductive Reasoning | 3.0 | |
| Inductive Reasoning | 3.0 | |
| Information Ordering | 3.0 | |
| Category Flexibility | 3.0 | |
| Selective Attention | 3.0 | |
| Manual Dexterity | 3.0 | |
| Multilimb Coordination | 3.0 | |
| Explosive Strength | 3.0 | |
| Dynamic Flexibility | 3.0 | |
| Gross Body Equilibrium | 3.0 |
| Speaking | 3.6 | |
| Active Listening | 3.3 | |
| Learning Strategies | 3.1 | |
| Reading Comprehension | 3.0 | |
| Critical Thinking | 3.0 | |
| Active Learning | 3.0 | |
| Monitoring | 3.0 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
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.
What to study: Education , Health Professions and Related Programs , Parks, Recreation, Leisure, Fitness, and Kinesiology . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Post-Secondary Certificate | 38.1% | |
| Post-Baccalaureate Certificate | 19.1% | |
| Less than a High School Diploma | 14.3% | |
| High School Diploma | 9.5% | |
| Bachelor's Degree | 9.5% | |
| Master's Degree | 9.5% |
The interests and personal qualities O*NET associates with people who do this work.
| Athletics | 6.2 | |
| Teaching/Education | 5.6 | |
| Personal Service | 5.1 | |
| Public Speaking | 4.0 | |
| Professional Advising | 4.0 | |
| Social Service | 3.3 | |
| Health Care Service | 3.1 | |
| Physical/Manual Labor | 2.8 |
| Social | 5.6 | |
| Realistic | 5.2 | |
| Enterprising | 3.5 | |
| Conventional | 3.0 | |
| Investigative | 2.7 |
| Dependability | 4.0 | |
| Cooperation | 3.0 | |
| Optimism | 2.5 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $27,580 |
| 25th percentile | $34,090 |
| Median (50th) | $46,180 |
| 75th percentile | $60,920 |
| 90th percentile | $82,050 |
| People employed | 303,620 |
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 |
|---|---|---|
| Arts, Entertainment, and Recreation · Sector | 206,110 | $47,050 |
| Fitness and Recreational Sports Centers · National industry | 199,210 | $47,180 |
| Other Services (except Public Administration) · Sector | 41,000 | $39,450 |
| Educational Services · Sector | 26,670 | $42,460 |
| Health Care and Social Assistance · Sector | 10,810 | $46,680 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 2,730 | $43,400 |
| Accommodation and Food Services · Sector | 2,490 | $45,930 |
| Management of Companies and Enterprises · Sector | 920 | $60,060 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 360 | $62,600 |
| Services for the Elderly and Persons with Disabilities · National industry | 340 | $45,650 |
| Real Estate and Rental and Leasing · Sector | 290 | $44,780 |
| Offices of Chiropractors · National industry | 200 | $44,110 |
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 | 160.48× | 199,210 |
| Arts, Entertainment, and Recreation · Sector | 39.61× | 206,110 |
| Other Services (except Public Administration) · Sector | 4.7× | 41,000 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 2.91× | 2,730 |
| Educational Services · Sector | 0.99× | 26,670 |
| Offices of Chiropractors · National industry | 0.7× | 200 |
| Health Care and Social Assistance · Sector | 0.24× | 10,810 |
| Management of Companies and Enterprises · Sector | 0.17× | 920 |
Part of the Healthcare & Human Services career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Exercise Trainers and Group Fitness Instructors — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 45th percentile of 427 international occupations.
Exercise Trainers and Group Fitness Instructors show 10th-percentile AI task overlap — and about 74,200 annual U.S. openings
Exercise Trainers and Group Fitness Instructors show 10th-percentile AI task overlap — and about 74,200 annual U.S. openings • Exercise Trainers and Group Fitness Instructors rank in the 10th percentile (Low 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 74,200 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 growing fast (+11.9%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $46,180, across about 303,620 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 77% 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 — "Exercise Trainers and Group Fitness Instructors". https://singulariki.com/roles/role-39-9031-00 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.
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.
Singulariki. "Exercise Trainers and Group Fitness Instructors." 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-39-9031-00
Singulariki. (2026). Exercise Trainers and Group Fitness Instructors. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-39-9031-00
@misc{singulariki-role-39-9031-00,
title = {Exercise Trainers and Group Fitness Instructors},
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-39-9031-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.