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 |
15%
Minimal Risk
|
10%
Minimal Risk
|
9%
Minimal Risk
|
23%
Low Risk
|
23%
Low Risk
|
| JOB SCORE | 8.8/10 | 7.7/10 | 7.5/10 | 6.0/10 | 6.7/10 |
| POLLING |
21%
(Low Risk,
Based on 1,406 votes)
|
43%
(Moderate Risk,
Based on 15 votes)
|
31%
(Low Risk,
Based on 105 votes)
|
50%
(Moderate Risk,
Based on 32 votes)
|
33%
(Low Risk,
Based on 143 votes)
|
|
GROWTH
by year 2034
|
9.6%
|
17.3%
|
16.2%
|
3.7%
|
6.5%
|
| WAGES |
$125,510
or $60.34 per hour
|
$105,620
or $50.77 per hour
|
$83,980
or $40.37 per hour
|
$161,180
or $77.48 per hour
|
$85,310
or $41.01 per hour
|
|
VOLUME
as of 2024
|
80,630
|
229,720
|
11,460
|
100,870
|
14,370
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Diagnose, treat, or research diseases and injuries of animals. Includes veterinarians who conduct research and development, inspect livestock, or care for pets and companion animals. | Teach courses in health specialties, in fields such as dentistry, laboratory technology, medicine, pharmacy, public health, therapy, and veterinary medicine. | Investigate and describe the determinants and distribution of disease, disability, or health outcomes. May develop the means for prevention and control. | 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. | Use chemistry, microbiology, engineering, and other sciences to study the principles underlying the processing and deterioration of foods; analyze food content to determine levels of vitamins, fat, sugar, and protein; discover new food sources; research ways to make processed foods safe, palatable, and healthful; and apply food science knowledge to determine best ways to process, package, preserve, store, and distribute food. |
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.