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 |
62%
High Risk
|
20%
Minimal Risk
|
35%
Low Risk
|
44%
Moderate Risk
|
50%
Moderate Risk
|
40%
Moderate Risk
|
| JOB SCORE | 2.9/10 | 5.2/10 | 6.5/10 | 3.9/10 | 3.1/10 | 3.3/10 |
| POLLING |
72%
(High Risk,
Based on 61 votes)
|
51%
(Moderate Risk,
Based on 17 votes)
|
38%
(Low Risk,
Based on 68 votes)
|
There hasn't been enough votes on this occupation yet
|
66%
(High Risk,
Based on 28 votes)
|
50%
(Moderate Risk,
Based on 43 votes)
|
|
GROWTH
by year 2034
|
3.0%
|
6.0%
|
6.4%
|
2.5%
|
2.0%
|
2.3%
|
| WAGES |
$34,460
or $16.57 per hour
|
$42,010
or $20.20 per hour
|
$65,310
or $31.40 per hour
|
$37,040
or $17.81 per hour
|
$36,450
or $17.52 per hour
|
$37,320
or $17.94 per hour
|
|
VOLUME
as of 2024
|
271,780
|
1,187,460
|
244,230
|
29,950
|
448,260
|
44,200
|
| SNOWFLAKE |
|
|
|
|
|
|
| DESCRIPTION | Serve food to individuals outside of a restaurant environment, such as in hotel rooms, hospital rooms, residential care facilities, or cars. | Directly supervise and coordinate activities of workers engaged in preparing and serving food. | Plan, direct, or coordinate activities of an organization or department that serves food and beverages. | Assist in the provision of food service and nutritional programs, under the supervision of a dietitian. May plan and produce meals based on established guidelines, teach principles of food and nutrition, or counsel individuals. | Prepare and cook large quantities of food for institutions, such as schools, hospitals, or cafeterias. | Assist patrons at hotel, apartment, or office building with personal services. May take messages; arrange or give advice on transportation, business services, or entertainment; or monitor guest requests for housekeeping and maintenance. |
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.