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 |
9%
Minimal Risk
|
18%
Minimal Risk
|
19%
Minimal Risk
|
11%
Minimal Risk
|
5%
Minimal Risk
|
| JOB SCORE | 6.6/10 | 7.2/10 | 7.3/10 | 7.0/10 | 8.0/10 |
| POLLING |
24%
(Low Risk,
Based on 23 votes)
|
22%
(Low Risk,
Based on 189 votes)
|
38%
(Low Risk,
Based on 146 votes)
|
31%
(Low Risk,
Based on 77 votes)
|
11.2%
(Minimal Risk,
Based on 107 votes)
|
|
GROWTH
by year 2034
|
2.3%
|
3.6%
|
10.8%
|
1.7%
|
9.7%
|
| WAGES |
$76,210
or $36.64 per hour
|
$101,690
or $48.89 per hour
|
$65,850
or $31.66 per hour
|
$103,960
or $49.98 per hour
|
$60,060
or $28.87 per hour
|
|
VOLUME
as of 2024
|
13,350
|
2,950
|
436,610
|
176,420
|
125,910
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Teach courses in social work. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research. | Study human society and social behavior by examining the groups and social institutions that people form, as well as various social, religious, political, and business organizations. May study the behavior and interaction of groups, trace their origin and growth, and analyze the influence of group activities on individual members. | 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. | Plan, direct, or coordinate student instruction, administration, and services, as well as other research and educational activities, at postsecondary institutions, including universities, colleges, and junior and community colleges. | Assess and treat individuals with mental, emotional, or substance abuse problems, including abuse of alcohol, tobacco, and/or other drugs. Activities may include individual and group therapy, crisis intervention, case management, client advocacy, prevention, and education. |
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.