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 |
3%
Minimal Risk
|
13%
Minimal Risk
|
12%
Minimal Risk
|
12%
Minimal Risk
|
10%
Minimal Risk
|
| JOB SCORE | 8.0/10 | 5.4/10 | 6.6/10 | 7.5/10 | 7.7/10 |
| POLLING |
27%
(Low Risk,
Based on 37 votes)
|
32%
(Low Risk,
Based on 18 votes)
|
41%
(Moderate Risk,
Based on 25 votes)
|
31%
(Low Risk,
Based on 40 votes)
|
43%
(Moderate Risk,
Based on 15 votes)
|
|
GROWTH
by year 2034
|
2.5%
|
1.4%
|
9.5%
|
13.3%
|
17.3%
|
| WAGES |
The median wage for this occupation is currently unknown
|
$46,110
or $22.17 per hour
|
$58,160
or $27.96 per hour
|
$78,310
or $37.65 per hour
|
$105,620
or $50.77 per hour
|
|
VOLUME
as of 2024
|
315,360
|
88,930
|
8,110
|
9,930
|
229,720
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Diagnose and treat disorders requiring physiotherapy to provide physical, mental, and occupational rehabilitation. | Counsel individuals to maximize the independence and employability of persons coping with personal, social, and vocational difficulties that result from birth defects, illness, disease, accidents, aging, or the stress of daily life. Coordinate activities for residents of care and treatment facilities. Assess client needs and design and implement rehabilitation programs that may include personal and vocational counseling, training, and job placement. | 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. | Design, measure, fit, and adapt orthopedic braces, appliances or prostheses, such as limbs or facial parts for patients with disabling conditions. | 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.