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 |
25%
Low Risk
|
12%
Minimal Risk
|
24%
Low Risk
|
22%
Low Risk
|
28%
Low Risk
|
| JOB SCORE | 5.0/10 | 5.7/10 | 6.8/10 | 5.4/10 | 4.1/10 |
| POLLING |
41%
(Moderate Risk,
Based on 24 votes)
|
There hasn't been enough votes on this occupation yet
|
There hasn't been enough votes on this occupation yet
|
37%
(Low Risk,
Based on 326 votes)
|
There hasn't been enough votes on this occupation yet
|
|
GROWTH
by year 2034
|
2.5%
|
3.4%
|
5.3%
|
-1.3%
|
-3.2%
|
| WAGES |
$59,330
or $28.52 per hour
|
$67,950
or $32.67 per hour
|
$78,690
or $37.83 per hour
|
$87,980
or $42.29 per hour
|
$54,310
or $26.11 per hour
|
|
VOLUME
as of 2024
|
29,530
|
25,590
|
806,080
|
5,910
|
31,080
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Directly supervise and coordinate the activities of agricultural, forestry, aquacultural, and related workers. | Research or study range land management practices to provide sustained production of forage, livestock, and wildlife. | Directly supervise and coordinate activities of construction or extraction workers. | Plan, direct, or coordinate the management or operation of farms, ranches, greenhouses, aquacultural operations, nurseries, timber tracts, or other agricultural establishments. May hire, train, and supervise farm workers or contract for services to carry out the day-to-day activities of the managed operation. May engage in or supervise planting, cultivating, harvesting, and financial and marketing activities. | Provide technical assistance regarding the conservation of soil, water, forests, or related natural resources. May compile data pertaining to size, content, condition, and other characteristics of forest tracts under the direction of foresters, or train and lead forest workers in forest propagation and fire prevention and suppression. May assist conservation scientists in managing, improving, and protecting rangelands and wildlife habitats. |
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.