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 |
78%
High Risk
|
25%
Low Risk
|
38%
Low Risk
|
39%
Low Risk
|
41%
Moderate Risk
|
25%
Low Risk
|
| JOB SCORE | 1.6/10 | 5.1/10 | 4.0/10 | 7.8/10 | 4.9/10 | 5.5/10 |
| POLLING |
81%
(Imminent Risk,
Based on 35 votes)
|
There hasn't been enough votes on this occupation yet
|
37%
(Low Risk,
Based on 77 votes)
|
23%
(Low Risk,
Based on 88 votes)
|
There hasn't been enough votes on this occupation yet
|
38%
(Low Risk,
Based on 67 votes)
|
|
GROWTH
by year 2034
|
-12.0%
|
-0.8%
|
-6.5%
|
6.6%
|
1.3%
|
-0.8%
|
| WAGES |
$49,180
or $23.64 per hour
|
$72,120
or $34.67 per hour
|
$58,260
or $28.01 per hour
|
$92,560
or $44.50 per hour
|
$74,690
or $35.91 per hour
|
$72,120
or $34.67 per hour
|
|
VOLUME
as of 2024
|
19,620
|
137,210
|
126,750
|
123,680
|
46,920
|
137,210
|
| SNOWFLAKE |
|
|
|
|
|
|
| DESCRIPTION | Read meter and record consumption of electricity, gas, water, or steam. | Conduct energy audits of buildings, building systems, or process systems. May also conduct investment grade audits of buildings or systems. | Operate or control an entire process or system of machines, often through the use of control boards, to transfer or treat water or wastewater. | Install or repair cables or wires used in electrical power or distribution systems. May erect poles and light or heavy duty transmission towers. | Install, repair, and maintain mechanical regulating and controlling devices, such as electric meters, gas regulators, thermostats, safety and flow valves, and other mechanical governors. | Inspect structures using engineering skills to determine structural soundness and compliance with specifications, building codes, and other regulations. Inspections may be general in nature or may be limited to a specific area, such as electrical systems or plumbing. |
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.