How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Track attendance, participation, or performance data related to wellness events.75
- Develop or coordinate fitness and wellness programs or services.74
- Recommend or approve new program or service offerings to promote wellness and fitness, produce revenues, or minimize costs.74
- Develop marketing campaigns to promote a healthy lifestyle or participation in fitness or wellness programs.74
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Manage or oversee fitness or recreation facilities, ensuring safe and clean facilities and equipment.01
- Maintain wellness- and fitness-related schedules, records, or reports.02
- Supervise fitness or wellness specialists, such as fitness instructors, nutritionists, or health educators.03
- Track attendance, participation, or performance data related to wellness events.04
- Develop or coordinate fitness and wellness programs or services.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Health Education Specialists
Closely related work
Compare these careers →Community Health Workers
Closely related work
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Closely related work
Compare these careers →Recreational Therapists
Closely related work
Compare these careers →Training and Development Managers
Related work
Compare these careers →Social and Community Service Managers
Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
