Automation Risk
Each occupation shows a probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.
| SUMMARY |
4%
Minimal Risk
|
12%
Minimal Risk
|
9%
Minimal Risk
|
13%
Minimal Risk
|
10%
Minimal Risk
|
| JOB SCORE | 8.2/10 | 6.6/10 | 7.5/10 | 7.5/10 | 7.7/10 |
| POLLING |
16.7%
(Minimal Risk,
Based on 45 votes)
|
41%
(Moderate Risk,
Based on 25 votes)
|
38%
(Low Risk,
Based on 18 votes)
|
26%
(Low Risk,
Based on 104 votes)
|
43%
(Moderate Risk,
Based on 15 votes)
|
|
GROWTH
by year 2034
|
2.5%
|
9.5%
|
2.5%
|
11.1%
|
17.3%
|
| WAGES |
The median wage for this occupation is currently unknown
|
$58,160
or $27.96 per hour
|
The median wage for this occupation is currently unknown
|
$60,250
or $28.96 per hour
|
$105,620
or $50.77 per hour
|
|
VOLUME
as of 2024
|
315,360
|
8,110
|
315,360
|
28,950
|
229,720
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Diagnose, treat, and help prevent injuries that occur during sporting events, athletic training, and physical activities. | Assess, plan, or implement fitness programs that include exercise or physical activities such as those designed to improve cardiorespiratory function, body composition, muscular strength, muscular endurance, or flexibility. | Apply knowledge of general preventive medicine and public health issues to promote health care to groups or individuals, and aid in the prevention or reduction of risk of disease, injury, disability, or death. May practice population-based medicine or diagnose and treat patients in the context of clinical health promotion and disease prevention. | Evaluate and treat musculoskeletal injuries or illnesses. Provide preventive, therapeutic, emergency, and rehabilitative care. | Teach courses in health specialties, in fields such as dentistry, laboratory technology, medicine, pharmacy, public health, therapy, and veterinary medicine. |
Curious how automation and AI could affect your career? Our comparison tool lets you view two or more jobs side by side, helping you quickly spot differences in risk level, pay, growth, and popularity. All of this is based on a mix of academic research, user polling, and official labour data.
Each occupation shows a probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.
A quick summary of how a job performs overall — factoring in wages, growth, volume, and automation risk. It’s a handy way to see the bigger picture at a glance.
Thousands of visitors cast their votes on how “automatable” each job feels. These community insights are shown alongside the calculated probabilities.
See how fast each occupation is projected to grow and what people earn on average. High wages don’t always mean high security — automation risk still matters.
Explore how many people currently work in each occupation and in which year the data was recorded. Popularity can affect how disruptive automation will be for the wider economy.
Each snowflake visualises the balance between automation risk, wages, growth, and job volume. Bigger and greener areas mean stronger performance in that dimension.
Use this comparison page to research careers, guide students, or simply explore the future of work. All data is regularly updated to keep the results relevant.