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 |
76%
High Risk
|
35%
Low Risk
|
20%
Minimal Risk
|
50%
Moderate Risk
|
69%
High Risk
|
52%
Moderate Risk
|
| JOB SCORE | 1.6/10 | 6.5/10 | 5.2/10 | 3.1/10 | 5.0/10 | 3.1/10 |
| POLLING |
75%
(High Risk,
Based on 288 votes)
|
38%
(Low Risk,
Based on 68 votes)
|
51%
(Moderate Risk,
Based on 17 votes)
|
66%
(High Risk,
Based on 28 votes)
|
49%
(Moderate Risk,
Based on 343 votes)
|
78%
(High Risk,
Based on 32 votes)
|
|
GROWTH
by year 2034
|
-13.5%
|
6.4%
|
6.0%
|
2.0%
|
14.9%
|
4.8%
|
| WAGES |
$30,160
or $14.50 per hour
|
$65,310
or $31.40 per hour
|
$42,010
or $20.20 per hour
|
$36,450
or $17.52 per hour
|
$36,830
or $17.71 per hour
|
$49,430
or $23.76 per hour
|
|
VOLUME
as of 2024
|
668,230
|
244,230
|
1,187,460
|
448,260
|
1,452,130
|
14,200
|
| SNOWFLAKE |
|
|
|
|
|
|
| DESCRIPTION | Prepare and cook food in a fast food restaurant with a limited menu. Duties of these cooks are limited to preparation of a few basic items and normally involve operating large-volume single-purpose cooking equipment. | Plan, direct, or coordinate activities of an organization or department that serves food and beverages. | Directly supervise and coordinate activities of workers engaged in preparing and serving food. | Prepare and cook large quantities of food for institutions, such as schools, hospitals, or cafeterias. | Prepare, season, and cook dishes such as soups, meats, vegetables, or desserts in restaurants. May order supplies, keep records and accounts, price items on menu, or plan menu. | Work with food scientists or technologists to perform standardized qualitative and quantitative tests to determine physical or chemical properties of food or beverage products. Includes technicians who assist in research and development of production technology, quality control, packaging, processing, and use of foods. |
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.