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 |
9%
Minimal Risk
|
15%
Minimal Risk
|
15%
Minimal Risk
|
17%
Minimal Risk
|
12%
Minimal Risk
|
| JOB SCORE | 5.8/10 | 6.7/10 | 7.7/10 | 5.8/10 | 6.5/10 |
| POLLING |
17.9%
(Minimal Risk,
Based on 60 votes)
|
27%
(Low Risk,
Based on 416 votes)
|
20%
(Low Risk,
Based on 738 votes)
|
There hasn't been enough votes on this occupation yet
|
20%
(Low Risk,
Based on 467 votes)
|
|
GROWTH
by year 2034
|
-6.0%
|
-0.7%
|
3.1%
|
14.6%
|
1.6%
|
| WAGES |
$68,180
or $32.78 per hour
|
$93,580
or $44.99 per hour
|
$76,290
or $36.67 per hour
|
$52,380
or $25.18 per hour
|
$72,860
or $35.03 per hour
|
|
VOLUME
as of 2024
|
6,420
|
110,790
|
666,990
|
2,780
|
16,920
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Patrol assigned area to prevent fish and game law violations. Investigate reports of damage to crops or property by wildlife. Compile biological data. | Conduct investigations related to suspected violations of federal, state, or local laws to prevent or solve crimes. | Maintain order and protect life and property by enforcing local, tribal, state, or federal laws and ordinances. Perform a combination of the following duties: patrol a specific area; direct traffic; issue traffic summonses; investigate accidents; apprehend and arrest suspects, or serve legal processes of courts. Includes police officers working at educational institutions. | Enforce fire regulations, inspect forest for fire hazards, and recommend forest fire prevention or control measures. May report forest fires and weather conditions. | Study the origins, behavior, diseases, genetics, and life processes of animals and wildlife. May specialize in wildlife research and management. May collect and analyze biological data to determine the environmental effects of present and potential use of land and water habitats. |
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.