Compare Occupations

SUMMARY
82%
Imminent Risk
38%
Low Risk
77%
High Risk
74%
High Risk
71%
High Risk
73%
High Risk
JOB SCORE 1.4/10 5.2/10 2.2/10 2.7/10 2.9/10 2.2/10
POLLING
79%
(High Risk, Based on 75 votes)
54%
(Moderate Risk, Based on 29 votes)
89%
(Imminent Risk, Based on 85 votes)
66%
(High Risk, Based on 53 votes)
70%
(High Risk, Based on 103 votes)
77%
(High Risk, Based on 80 votes)
GROWTH
by year 2034
-8.9%
1.2%
-0.1%
0.0%
1.1%
1.5%
WAGES
$38,220
or $18.37 per hour
$71,190
or $34.22 per hour
$42,210
or $20.29 per hour
$47,460
or $22.82 per hour
$46,390
or $22.30 per hour
$38,940
or $18.72 per hour
VOLUME
as of 2024
167,490
685,140
1,457,800
591,180
805,770
2,982,530
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 Helpers--Production Workers Snowflake diagram for First-Line Supervisors of Production and Operating Workers Snowflake diagram for Team Assemblers Snowflake diagram for Inspectors, Testers, Sorters, Samplers, and Weighers Snowflake diagram for Industrial Truck and Tractor Operators Snowflake diagram for Laborers and Freight, Stock, and Material Movers, Hand
DESCRIPTION Help production workers by performing duties requiring less skill. Duties include supplying or holding materials or tools, and cleaning work area and equipment. Directly supervise and coordinate the activities of production and operating workers, such as inspectors, precision workers, machine setters and operators, assemblers, fabricators, and plant and system operators. Excludes team or work leaders. Work as part of a team having responsibility for assembling an entire product or component of a product. Team assemblers can perform all tasks conducted by the team in the assembly process and rotate through all or most of them, rather than being assigned to a specific task on a permanent basis. May participate in making management decisions affecting the work. Includes team leaders who work as part of the team. Inspect, test, sort, sample, or weigh nonagricultural raw materials or processed, machined, fabricated, or assembled parts or products for defects, wear, and deviations from specifications. May use precision measuring instruments and complex test equipment. Operate industrial trucks or tractors equipped to move materials around a warehouse, storage yard, factory, construction site, or similar location. Manually move freight, stock, luggage, or other materials, or perform other general labor. Includes all manual laborers not elsewhere classified.

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.