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 |
22%
Low Risk
|
10%
Minimal Risk
|
9%
Minimal Risk
|
17%
Minimal Risk
|
21%
Low Risk
|
| JOB SCORE | 5.8/10 | 7.3/10 | 6.0/10 | 5.8/10 | 6.4/10 |
| POLLING |
26%
(Low Risk,
Based on 135 votes)
|
13.5%
(Minimal Risk,
Based on 558 votes)
|
31%
(Low Risk,
Based on 29 votes)
|
There hasn't been enough votes on this occupation yet
|
34%
(Low Risk,
Based on 28 votes)
|
|
GROWTH
by year 2034
|
5.8%
|
3.4%
|
4.1%
|
14.6%
|
8.5%
|
| WAGES |
$33,720
or $16.21 per hour
|
$59,530
or $28.62 per hour
|
$35,380
or $17.01 per hour
|
$52,380
or $25.18 per hour
|
$58,440
or $28.09 per hour
|
|
VOLUME
as of 2024
|
143,590
|
332,240
|
309,640
|
2,780
|
31,450
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Monitor recreational areas, such as pools, beaches, or ski slopes, to provide assistance and protection to participants. | Control and extinguish fires or respond to emergency situations where life, property, or the environment is at risk. Duties may include fire prevention, emergency medical service, hazardous material response, search and rescue, and disaster assistance. | Conduct recreation activities with groups in public, private, or volunteer agencies or recreation facilities. Organize and promote activities, such as arts and crafts, sports, games, music, dramatics, social recreation, camping, and hobbies, taking into account the needs and interests of individual members. | Enforce fire regulations, inspect forest for fire hazards, and recommend forest fire prevention or control measures. May report forest fires and weather conditions. | Collect data on work environments for analysis by occupational health and safety specialists. Implement and conduct evaluation of programs designed to limit chemical, physical, biological, and ergonomic risks to workers. |
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.