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
|
10%
Minimal Risk
|
10%
Minimal Risk
|
19%
Minimal Risk
|
10%
Minimal Risk
|
| JOB SCORE | 6.7/10 | 6.3/10 | 6.8/10 | 5.6/10 | 7.1/10 |
| POLLING |
26%
(Low Risk,
Based on 37 votes)
|
30%
(Low Risk,
Based on 46 votes)
|
26%
(Low Risk,
Based on 77 votes)
|
47%
(Moderate Risk,
Based on 142 votes)
|
32%
(Low Risk,
Based on 17 votes)
|
|
GROWTH
by year 2034
|
5.8%
|
1.2%
|
1.2%
|
1.2%
|
4.1%
|
| WAGES |
$79,120
or $38.04 per hour
|
$93,330
or $44.87 per hour
|
$93,330
or $44.87 per hour
|
$93,330
or $44.87 per hour
|
$86,350
or $41.51 per hour
|
|
VOLUME
as of 2024
|
2,470
|
59,710
|
59,710
|
59,710
|
8,700
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Conduct research in the genetics, nutrition, reproduction, growth, and development of domestic farm animals. | Research and study the inheritance of traits at the molecular, organism or population level. May evaluate or treat patients with genetic disorders. | Research and study cellular molecules and organelles to understand cell function and organization. | Conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. May design databases and develop algorithms for processing and analyzing genomic information, or other biological information. | Teach courses in the agricultural sciences. Includes teachers of agronomy, dairy sciences, fisheries management, horticultural sciences, poultry sciences, range management, and agricultural soil conservation. 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.