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 |
53%
Moderate Risk
|
28%
Low Risk
|
38%
Low Risk
|
45%
Moderate Risk
|
| JOB SCORE | 4.4/10 | 3.8/10 | 6.1/10 | 3.7/10 |
| POLLING |
44%
(Moderate Risk,
Based on 26 votes)
|
58%
(Moderate Risk,
Based on 16 votes)
|
33%
(Low Risk,
Based on 103 votes)
|
69%
(High Risk,
Based on 18 votes)
|
|
GROWTH
by year 2034
|
3.0%
|
1.0%
|
3.8%
|
3.7%
|
| WAGES |
$49,070
or $23.59 per hour
|
$48,490
or $23.31 per hour
|
$48,620
or $23.37 per hour
|
$58,480
or $28.11 per hour
|
|
VOLUME
as of 2024
|
151,750
|
50,570
|
1,531,700
|
7,580
|
| SNOWFLAKE |
|
|
|
|
| DESCRIPTION | Maintain highways, municipal and rural roads, airport runways, and rights-of-way. Duties include patching broken or eroded pavement and repairing guard rails, highway markers, and snow fences. May also mow or clear brush from along road, or plow snow from roadway. | Identify, remove, pack, transport, or dispose of hazardous materials, including asbestos, lead-based paint, waste oil, fuel, transmission fluid, radioactive materials, or contaminated soil. Specialized training and certification in hazardous materials handling or a confined entry permit are generally required. May operate earth-moving equipment or trucks. | Perform work involving the skills of two or more maintenance or craft occupations to keep machines, mechanical equipment, or the structure of a building in repair. Duties may involve pipe fitting; HVAC maintenance; insulating; welding; machining; carpentry; repairing electrical or mechanical equipment; installing, aligning, and balancing new equipment; and repairing buildings, floors, or stairs. | Conduct field studies to determine traffic volume, speed, effectiveness of signals, adequacy of lighting, and other factors influencing traffic conditions, under direction of traffic engineer. |
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.