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 |
14%
Minimal Risk
|
24%
Low Risk
|
19%
Minimal Risk
|
16%
Minimal Risk
|
18%
Minimal Risk
|
| JOB SCORE | 3.8/10 | 4.2/10 | 7.3/10 | 6.2/10 | 4.8/10 |
| POLLING |
43%
(Moderate Risk,
Based on 174 votes)
|
There hasn't been enough votes on this occupation yet
|
38%
(Low Risk,
Based on 146 votes)
|
21%
(Low Risk,
Based on 127 votes)
|
18.7%
(Minimal Risk,
Based on 127 votes)
|
|
GROWTH
by year 2034
|
-1.5%
|
3.1%
|
10.8%
|
4.1%
|
-2.9%
|
| WAGES |
$35,240
or $16.94 per hour
|
$44,930
or $21.60 per hour
|
$65,850
or $31.66 per hour
|
$37,120
or $17.84 per hour
|
$32,050
or $15.41 per hour
|
|
VOLUME
as of 2024
|
1,375,300
|
155,010
|
436,610
|
445,080
|
520,180
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Assist a preschool, elementary, middle, or secondary school teacher with instructional duties. Serve in a position for which a teacher has primary responsibility for the design and implementation of educational programs and services. | Assist faculty or other instructional staff in postsecondary institutions by performing instructional support activities, such as developing teaching materials, leading discussion groups, preparing and giving examinations, and grading examinations or papers. | 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. | Instruct preschool-aged students, following curricula or lesson plans, in activities designed to promote social, physical, and intellectual growth. | Attend to children at schools, businesses, private households, and childcare institutions. Perform a variety of tasks, such as dressing, feeding, bathing, and overseeing play. |
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.