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 |
10%
Minimal Risk
|
20%
Minimal Risk
|
10%
Minimal Risk
|
19%
Minimal Risk
|
10%
Minimal Risk
|
| JOB SCORE | 6.2/10 | 5.6/10 | 6.9/10 | 6.1/10 | 5.6/10 |
| POLLING |
39%
(Low Risk,
Based on 18 votes)
|
There hasn't been enough votes on this occupation yet
|
40%
(Moderate Risk,
Based on 18 votes)
|
29%
(Low Risk,
Based on 46 votes)
|
There hasn't been enough votes on this occupation yet
|
|
GROWTH
by year 2034
|
2.6%
|
0.6%
|
3.7%
|
-0.1%
|
2.9%
|
| WAGES |
$101,390
or $48.74 per hour
|
$117,960
or $56.71 per hour
|
$161,180
or $77.48 per hour
|
$92,060
or $44.26 per hour
|
$87,710
or $42.16 per hour
|
|
VOLUME
as of 2024
|
11,480
|
22,580
|
100,870
|
5,720
|
7,130
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Teach courses in the physical sciences, except chemistry and physics. Includes both teachers primarily engaged in teaching, and those who do a combination of teaching and research. | Apply remote sensing principles and methods to analyze data and solve problems in areas such as natural resource management, urban planning, or homeland security. May develop new sensor systems, analytical techniques, or new applications for existing systems. | Plan, direct, or coordinate activities in such fields as life sciences, physical sciences, mathematics, statistics, and research and development in these fields. | Research the distribution, circulation, and physical properties of underground and surface waters; and study the form and intensity of precipitation and its rate of infiltration into the soil, movement through the earth, and return to the ocean and atmosphere. | Teach courses in environmental science. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research. |
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.