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
|
9%
Minimal Risk
|
11%
Minimal Risk
|
11%
Minimal Risk
|
10%
Minimal Risk
|
| JOB SCORE | 7.0/10 | 7.8/10 | 7.8/10 | 5.7/10 | 6.6/10 |
| POLLING |
30%
(Low Risk,
Based on 498 votes)
|
26%
(Low Risk,
Based on 1,201 votes)
|
30%
(Low Risk,
Based on 454 votes)
|
39%
(Low Risk,
Based on 183 votes)
|
31%
(Low Risk,
Based on 40 votes)
|
|
GROWTH
by year 2034
|
2.2%
|
4.0%
|
19.7%
|
0.7%
|
2.5%
|
| WAGES |
$132,170
or $63.54 per hour
|
$166,290
or $79.94 per hour
|
$140,910
or $67.74 per hour
|
$97,450
or $46.85 per hour
|
$97,360
or $46.80 per hour
|
|
VOLUME
as of 2024
|
1,560
|
21,340
|
38,480
|
8,780
|
13,590
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Observe, research, and interpret astronomical phenomena to increase basic knowledge or apply such information to practical problems. | Conduct research into physical phenomena, develop theories on the basis of observation and experiments, and devise methods to apply physical laws and theories. | Conduct research into fundamental computer and information science as theorists, designers, or inventors. Develop solutions to problems in the field of computer hardware and software. | Investigate atmospheric phenomena and interpret meteorological data, gathered by surface and air stations, satellites, and radar to prepare reports and forecasts for public and other uses. Includes weather analysts and forecasters whose functions require the detailed knowledge of meteorology. | Teach courses pertaining to the laws of matter and energy. 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.