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 |
21%
Low Risk
|
22%
Low Risk
|
19%
Minimal Risk
|
19%
Minimal Risk
|
19%
Minimal Risk
|
| JOB SCORE | 5.7/10 | 6.2/10 | 7.3/10 | 4.9/10 | 4.9/10 |
| POLLING |
38%
(Low Risk,
Based on 21 votes)
|
44%
(Moderate Risk,
Based on 533 votes)
|
38%
(Low Risk,
Based on 146 votes)
|
46%
(Moderate Risk,
Based on 1,271 votes)
|
40%
(Moderate Risk,
Based on 15 votes)
|
|
GROWTH
by year 2034
|
2.1%
|
8.5%
|
10.8%
|
1.2%
|
1.2%
|
| WAGES |
$119,980
or $57.68 per hour
|
$103,300
or $49.66 per hour
|
$65,850
or $31.66 per hour
|
$115,440
or $55.50 per hour
|
$115,440
or $55.50 per hour
|
|
VOLUME
as of 2024
|
12,420
|
29,800
|
436,610
|
15,880
|
15,880
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Teach courses in economics. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research. | Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians. | 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. | Conduct research, prepare reports, or formulate plans to address economic problems related to the production and distribution of goods and services or monetary and fiscal policy. May collect and process economic and statistical data using sampling techniques and econometric methods. | Conduct economic analysis related to environmental protection and use of the natural environment, such as water, air, land, and renewable energy resources. Evaluate and quantify benefits, costs, incentives, and impacts of alternative options using economic principles and statistical techniques. |
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.