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 |
19%
Minimal Risk
|
19%
Minimal Risk
|
19%
Minimal Risk
|
18%
Minimal Risk
|
18%
Minimal Risk
|
| JOB SCORE | 7.0/10 | 8.1/10 | 6.1/10 | 7.4/10 | 6.8/10 |
| POLLING |
34%
(Low Risk,
Based on 42 votes)
|
37%
(Low Risk,
Based on 262 votes)
|
28%
(Low Risk,
Based on 15 votes)
|
25%
(Low Risk,
Based on 290 votes)
|
There hasn't been enough votes on this occupation yet
|
|
GROWTH
by year 2034
|
3.0%
|
8.8%
|
4.4%
|
3.4%
|
4.4%
|
| WAGES |
$81,270
or $39.07 per hour
|
$101,190
or $48.65 per hour
|
$80,060
or $38.49 per hour
|
$83,720
or $40.25 per hour
|
$80,060
or $38.49 per hour
|
|
VOLUME
as of 2024
|
1,128,200
|
893,900
|
84,930
|
43,040
|
84,930
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Address organizational sustainability issues, such as waste stream management, green building practices, and green procurement plans. | Conduct organizational studies and evaluations, design systems and procedures, conduct work simplification and measurement studies, and prepare operations and procedures manuals to assist management in operating more efficiently and effectively. Includes program analysts and management consultants. | Research and analyze policy developments related to climate change. Make climate-related recommendations for actions such as legislation, awareness campaigns, or fundraising approaches. | Develop comprehensive plans and programs for use of land and physical facilities of jurisdictions, such as towns, cities, counties, and metropolitan areas. | Collaborate with field and biology staff to oversee the implementation of restoration projects and to develop new products. Process and synthesize complex scientific data into practical strategies for restoration, monitoring or management. |
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.