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 |
75%
High Risk
|
41%
Moderate Risk
|
50%
Moderate Risk
|
55%
Moderate Risk
|
64%
High Risk
|
57%
Moderate Risk
|
| JOB SCORE | 2.5/10 | 3.9/10 | 3.8/10 | 4.7/10 | 3.1/10 | 4.3/10 |
| POLLING |
91%
(Imminent Risk,
Based on 16 votes)
|
49%
(Moderate Risk,
Based on 52 votes)
|
There hasn't been enough votes on this occupation yet
|
34%
(Low Risk,
Based on 45 votes)
|
60%
(High Risk,
Based on 20 votes)
|
There hasn't been enough votes on this occupation yet
|
|
GROWTH
by year 2035
|
5.8%
|
-5.4%
|
3.6%
|
1.6%
|
3.2%
|
3.9%
|
| WAGES |
$47,460
or $22.82 per hour
|
$51,990
or $24.99 per hour
|
$59,600
or $28.65 per hour
|
$54,660
or $26.28 per hour
|
$63,380
or $30.47 per hour
|
$48,120
or $23.13 per hour
|
|
VOLUME
as of 2024
|
3,080
|
8,750
|
17,410
|
205,230
|
14,340
|
33,530
|
| SNOWFLAKE |
|
|
|
|
|
|
| DESCRIPTION | Separate blocks of rough dimension stone from quarry mass using jackhammers, wedges, or chop saws. | Build stone structures, such as piers, walls, and abutments. Lay walks, curbstones, or special types of masonry for vats, tanks, and floors. | Operate a variety of drills such as rotary, churn, and pneumatic to tap subsurface water and salt deposits, to remove core samples during mineral exploration or soil testing, and to facilitate the use of explosives in mining or construction. Includes horizontal and earth boring machine operators. | Smooth and finish surfaces of poured concrete, such as floors, walks, sidewalks, roads, or curbs using a variety of hand and power tools. Align forms for sidewalks, curbs, or gutters; patch voids; and use saws to cut expansion joints. | Operate self-propelled mining machines that rip coal, metal and nonmetal ores, rock, stone, or sand from the mine face and load it onto conveyors, shuttle cars, or trucks in a continuous operation. | Lay out, cut, and place segmental paving units. Includes installers of bedding and restraining materials for the paving units. |
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.