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 |
10%
Minimal Risk
|
13%
Minimal Risk
|
19%
Minimal Risk
|
6%
Minimal Risk
|
19%
Minimal Risk
|
| JOB SCORE | 7.5/10 | 7.5/10 | 7.3/10 | 5.6/10 | 5.7/10 |
| POLLING |
23%
(Low Risk,
Based on 210 votes)
|
26%
(Low Risk,
Based on 104 votes)
|
38%
(Low Risk,
Based on 146 votes)
|
There hasn't been enough votes on this occupation yet
|
There hasn't been enough votes on this occupation yet
|
|
GROWTH
by year 2034
|
6.4%
|
11.1%
|
10.8%
|
1.1%
|
2.4%
|
| WAGES |
$45,920
or $22.08 per hour
|
$60,250
or $28.96 per hour
|
$65,850
or $31.66 per hour
|
$67,430
or $32.42 per hour
|
$75,890
or $36.48 per hour
|
|
VOLUME
as of 2024
|
250,940
|
28,950
|
436,610
|
39,350
|
12,680
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | 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. | Evaluate and treat musculoskeletal injuries or illnesses. Provide preventive, therapeutic, emergency, and rehabilitative care. | Design or conduct work-related training and development programs to improve individual skills or organizational performance. May analyze organizational training needs or evaluate training effectiveness. | Provide individualized physical education instruction or services to children, youth, or adults with exceptional physical needs due to gross motor developmental delays or other impairments. | Teach courses pertaining to recreation, leisure, and fitness studies, including exercise physiology and facilities management. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research. |
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.