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 |
52%
Moderate Risk
|
21%
Low Risk
|
41%
Moderate Risk
|
41%
Moderate Risk
|
46%
Moderate Risk
|
42%
Moderate Risk
|
| JOB SCORE | 3.2/10 | 6.5/10 | 4.2/10 | 6.4/10 | 6.8/10 | 5.4/10 |
| POLLING |
50%
(Moderate Risk,
Based on 18 votes)
|
36%
(Low Risk,
Based on 30 votes)
|
48%
(Moderate Risk,
Based on 22 votes)
|
36%
(Low Risk,
Based on 66 votes)
|
29%
(Low Risk,
Based on 49 votes)
|
30%
(Low Risk,
Based on 134 votes)
|
|
GROWTH
by year 2034
|
2.5%
|
3.1%
|
3.4%
|
16.1%
|
5.8%
|
2.4%
|
| WAGES |
$46,560
or $22.38 per hour
|
$78,300
or $37.64 per hour
|
$53,990
or $25.95 per hour
|
$63,760
or $30.65 per hour
|
$63,980
or $30.76 per hour
|
$60,640
or $29.15 per hour
|
|
VOLUME
as of 2024
|
34,240
|
600,680
|
16,570
|
421,940
|
180,270
|
287,230
|
| SNOWFLAKE |
|
|
|
|
|
|
| DESCRIPTION | Diagnose, adjust, repair, or overhaul small engines used to power lawn mowers, chain saws, recreational sporting equipment, and related equipment. | Directly supervise and coordinate the activities of mechanics, installers, and repairers. May also advise customers on recommended services. Excludes team or work leaders. | Repair, maintain, or install electric motors, wiring, or switches. | Repair, install, adjust, or maintain industrial production and processing machinery or refinery and pipeline distribution systems. May also install, dismantle, or move machinery and heavy equipment according to plans. | Diagnose, adjust, repair, or overhaul mobile mechanical, hydraulic, and pneumatic equipment, such as cranes, bulldozers, graders, and conveyors, used in construction, logging, and mining. | Diagnose, adjust, repair, or overhaul buses and trucks, or maintain and repair any type of diesel engines. Includes mechanics working primarily with automobile or marine diesel engines. |
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.