Compare Occupations

SUMMARY
75%
High Risk
41%
Moderate Risk
50%
Moderate Risk
51%
Moderate Risk
55%
Moderate Risk
64%
High Risk
JOB SCORE 2.5/10 3.9/10 3.8/10 5.2/10 4.7/10 3.1/10
POLLING
91%
(Imminent Risk, Based on 16 votes)
50%
(Moderate Risk, Based on 51 votes)
There hasn't been enough votes on this occupation yet
50%
(Moderate Risk, Based on 286 votes)
35%
(Low Risk, Based on 43 votes)
60%
(High Risk, Based on 20 votes)
GROWTH
by year 2034
4.4%
-3.0%
2.9%
7.3%
1.8%
0.6%
WAGES
$47,460
or $22.82 per hour
$51,990
or $24.99 per hour
$59,600
or $28.65 per hour
$46,730
or $22.46 per hour
$54,660
or $26.28 per hour
$63,380
or $30.47 per hour
VOLUME
as of 2024
3,080
8,750
17,410
1,057,660
205,230
14,340
SNOWFLAKE [?] The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes. Snowflake diagram for Rock Splitters, Quarry Snowflake diagram for Stonemasons Snowflake diagram for Earth Drillers, Except Oil and Gas Snowflake diagram for Construction Laborers Snowflake diagram for Cement Masons and Concrete Finishers Snowflake diagram for Continuous Mining Machine Operators
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. Perform tasks involving physical labor at construction sites. May operate hand and power tools of all types: air hammers, earth tampers, cement mixers, small mechanical hoists, surveying and measuring equipment, and a variety of other equipment and instruments. May clean and prepare sites, dig trenches, set braces to support the sides of excavations, erect scaffolding, and clean up rubble, debris, and other waste materials. May assist other craft workers. 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.

Compare Occupations Side by Side

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.

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.

Job Score

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.

Polling Data

Thousands of visitors cast their votes on how “automatable” each job feels. These community insights are shown alongside the calculated probabilities.

Growth & Wages

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.

Volume of Workers

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.

The Snowflake Diagram

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.