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 |
23%
Low Risk
|
28%
Low Risk
|
26%
Low Risk
|
19%
Minimal Risk
|
| JOB SCORE | 6.3/10 | 5.7/10 | 7.5/10 | 8.0/10 |
| POLLING |
38%
(Low Risk,
Based on 80 votes)
|
32%
(Low Risk,
Based on 73 votes)
|
21%
(Low Risk,
Based on 610 votes)
|
33%
(Low Risk,
Based on 69 votes)
|
|
GROWTH
by year 2034
|
8.5%
|
1.6%
|
4.5%
|
12.5%
|
| WAGES |
$61,130
or $29.39 per hour
|
$101,320
or $48.71 per hour
|
$62,970
or $30.27 per hour
|
$83,910
or $40.34 per hour
|
|
VOLUME
as of 2024
|
3,430
|
8,580
|
455,940
|
128,430
|
| SNOWFLAKE |
|
|
|
|
| DESCRIPTION | Work below surface of water, using surface-supplied air or scuba equipment to inspect, repair, remove, or install equipment and structures. May use a variety of power and hand tools, such as drills, sledgehammers, torches, and welding equipment. May conduct tests or experiments, rig explosives, or photograph structures or marine life. | Supervise and coordinate activities of crew engaged in operating and maintaining engines, boilers, deck machinery, and electrical, sanitary, and refrigeration equipment aboard ship. | Assemble, install, alter, and repair pipelines or pipe systems that carry water, steam, air, or other liquids or gases. May install heating and cooling equipment and mechanical control systems. Includes sprinkler fitters. | 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.