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
|
6%
Minimal Risk
|
14%
Minimal Risk
|
17%
Minimal Risk
|
19%
Minimal Risk
|
| JOB SCORE | 7.3/10 | 7.5/10 | 6.8/10 | 5.8/10 | 8.0/10 |
| POLLING |
13.5%
(Minimal Risk,
Based on 558 votes)
|
24%
(Low Risk,
Based on 22 votes)
|
31%
(Low Risk,
Based on 28 votes)
|
There hasn't been enough votes on this occupation yet
|
33%
(Low Risk,
Based on 69 votes)
|
|
GROWTH
by year 2034
|
3.4%
|
3.4%
|
3.8%
|
14.6%
|
12.5%
|
| WAGES |
$59,530
or $28.62 per hour
|
$92,430
or $44.43 per hour
|
$78,060
or $37.53 per hour
|
$52,380
or $25.18 per hour
|
$83,910
or $40.34 per hour
|
|
VOLUME
as of 2024
|
332,240
|
93,680
|
14,050
|
2,780
|
128,430
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | 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. | Directly supervise and coordinate activities of workers engaged in firefighting and fire prevention and control. | Inspect buildings to detect fire hazards and enforce local ordinances and state laws, or investigate and gather facts to determine cause of fires and explosions. | Enforce fire regulations, inspect forest for fire hazards, and recommend forest fire prevention or control measures. May report forest fires and weather conditions. | Review, evaluate, and analyze work environments and design programs and procedures to control, eliminate, and prevent disease or injury caused by chemical, physical, and biological agents or ergonomic factors. May conduct inspections and enforce adherence to laws and regulations governing the health and safety of individuals. May be employed in the public or private sector. |
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.