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 |
11%
Minimal Risk
|
12%
Minimal Risk
|
19%
Minimal Risk
|
14%
Minimal Risk
|
19%
Minimal Risk
|
| JOB SCORE | 6.6/10 | 7.7/10 | 7.3/10 | 5.7/10 | 6.1/10 |
| POLLING |
32%
(Low Risk,
Based on 17 votes)
|
38%
(Low Risk,
Based on 6,937 votes)
|
38%
(Low Risk,
Based on 146 votes)
|
29%
(Low Risk,
Based on 31 votes)
|
38%
(Low Risk,
Based on 26 votes)
|
|
GROWTH
by year 2034
|
2.2%
|
4.1%
|
10.8%
|
4.3%
|
1.3%
|
| WAGES |
$126,650
or $60.88 per hour
|
$151,160
or $72.67 per hour
|
$65,850
or $31.66 per hour
|
$67,710
or $32.55 per hour
|
$74,720
or $35.92 per hour
|
|
VOLUME
as of 2024
|
22,800
|
747,750
|
436,610
|
7,860
|
210,850
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Teach courses in law. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research. | Represent clients in criminal and civil litigation and other legal proceedings, draw up legal documents, or manage or advise clients on legal transactions. May specialize in a single area or may practice broadly in many areas of law. | 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. | Facilitate negotiation and conflict resolution through dialogue. Resolve conflicts outside of the court system by mutual consent of parties involved. | Develop instructional material, coordinate educational content, and incorporate current technology into instruction in order to provide guidelines to educators and instructors for developing curricula and conducting courses. May train and coach teachers. Includes educational consultants and specialists, and instructional material directors. |
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.