Compare Occupations

	Riggers	First-Line Supervisors of Construction Trades and Extraction Workers	Electrical Power-Line Installers and Repairers	Millwrights	Industrial Machinery Mechanics
SUMMARY	51% Moderate Risk	24% Low Risk	39% Low Risk	29% Low Risk	41% Moderate Risk
JOB SCORE	4.8/10	6.8/10	7.8/10	5.8/10	6.4/10
POLLING	42% (Moderate Risk, Based on 34 votes)	There hasn't been enough votes on this occupation yet	23% (Low Risk, Based on 88 votes)	28% (Low Risk, Based on 67 votes)	36% (Low Risk, Based on 66 votes)
GROWTH by year 2034	3.2%	5.3%	6.6%	0.0%	16.1%
WAGES	$62,060 or $29.83 per hour	$78,690 or $37.83 per hour	$92,560 or $44.50 per hour	$65,170 or $31.33 per hour	$63,760 or $30.65 per hour
VOLUME as of 2024	24,190	806,080	123,680	40,660	421,940
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.
DESCRIPTION	Set up or repair rigging for construction projects, manufacturing plants, logging yards, ships and shipyards, or for the entertainment industry.	Directly supervise and coordinate activities of construction or extraction workers.	Install or repair cables or wires used in electrical power or distribution systems. May erect poles and light or heavy duty transmission towers.	Install, dismantle, or move machinery and heavy equipment according to layout plans, blueprints, or other drawings.	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.

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.