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 |
11%
Minimal Risk
|
9%
Minimal Risk
|
14%
Minimal Risk
|
19%
Minimal Risk
|
12%
Minimal Risk
|
| JOB SCORE | 6.4/10 | 8.1/10 | 6.0/10 | 7.0/10 | 6.8/10 |
| POLLING |
There hasn't been enough votes on this occupation yet
|
19.2%
(Minimal Risk,
Based on 546 votes)
|
There hasn't been enough votes on this occupation yet
|
31%
(Low Risk,
Based on 838 votes)
|
32%
(Low Risk,
Based on 95 votes)
|
|
GROWTH
by year 2034
|
2.1%
|
5.2%
|
2.1%
|
2.6%
|
4.9%
|
| WAGES |
$117,750
or $56.61 per hour
|
$106,950
or $51.41 per hour
|
$117,750
or $56.61 per hour
|
$121,860
or $58.58 per hour
|
$104,160
or $50.07 per hour
|
|
VOLUME
as of 2024
|
150,750
|
21,860
|
150,750
|
20,330
|
8,330
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Design, develop, or supervise the production of materials, devices, or systems of unique molecular or macromolecular composition, applying principles of nanoscale physics and electrical, chemical, or biological engineering. | Apply knowledge of engineering, biology, chemistry, computer science, and biomechanical principles to the design, development, and evaluation of biological, agricultural, and health systems and products, such as artificial organs, prostheses, instrumentation, medical information systems, and health management and care delivery systems. | Research, design, develop, or test microelectromechanical systems (MEMS) devices. | Design chemical plant equipment and devise processes for manufacturing chemicals and products, such as gasoline, synthetic rubber, plastics, detergents, cement, paper, and pulp, by applying principles and technology of chemistry, physics, and engineering. | Research and study the structures and chemical properties of various natural and synthetic or composite materials, including metals, alloys, rubber, ceramics, semiconductors, polymers, and glass. Determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications. Includes glass scientists, ceramic scientists, metallurgical scientists, and polymer scientists. |
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.