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 |
33%
Low Risk
|
13%
Minimal Risk
|
10%
Minimal Risk
|
23%
Low Risk
|
24%
Low Risk
|
| JOB SCORE | 4.3/10 | 6.5/10 | 6.8/10 | 6.0/10 | 5.1/10 |
| POLLING |
49%
(Moderate Risk,
Based on 62 votes)
|
33%
(Low Risk,
Based on 192 votes)
|
26%
(Low Risk,
Based on 77 votes)
|
50%
(Moderate Risk,
Based on 32 votes)
|
There hasn't been enough votes on this occupation yet
|
|
GROWTH
by year 2034
|
3.5%
|
4.1%
|
1.2%
|
3.7%
|
4.0%
|
| WAGES |
$52,000
or $25.00 per hour
|
$87,330
or $41.98 per hour
|
$93,330
or $44.87 per hour
|
$161,180
or $77.48 per hour
|
$49,490
or $23.79 per hour
|
|
VOLUME
as of 2024
|
76,190
|
19,760
|
59,710
|
100,870
|
39,390
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Assist biological and medical scientists. Set up, operate, and maintain laboratory instruments and equipment, monitor experiments, collect data and samples, make observations, and calculate and record results. May analyze organic substances, such as blood, food, and drugs. | Investigate the growth, structure, development, and other characteristics of microscopic organisms, such as bacteria, algae, or fungi. Includes medical microbiologists who study the relationship between organisms and disease or the effects of antibiotics on microorganisms. | Research and study cellular molecules and organelles to understand cell function and organization. | Plan, direct, or coordinate clinical research projects. Direct the activities of workers engaged in clinical research projects to ensure compliance with protocols and overall clinical objectives. May evaluate and analyze clinical data. | Perform laboratory and field tests to monitor the environment and investigate sources of pollution, including those that affect health, under the direction of an environmental scientist, engineer, or other specialist. May collect samples of gases, soil, water, and other materials for testing. |
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.