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 |
68%
High Risk
|
29%
Low Risk
|
52%
Moderate Risk
|
59%
Moderate Risk
|
| JOB SCORE | 2.1/10 | 4.7/10 | 4.1/10 | 1.7/10 |
| POLLING |
60%
(Moderate Risk,
Based on 116 votes)
|
49%
(Moderate Risk,
Based on 22 votes)
|
There hasn't been enough votes on this occupation yet
|
71%
(High Risk,
Based on 17 votes)
|
|
GROWTH
by year 2034
|
-0.6%
|
1.2%
|
2.0%
|
0.3%
|
| WAGES |
$33,280
or $16.00 per hour
|
$85,580
or $41.14 per hour
|
$61,590
or $29.61 per hour
|
$43,900
or $21.10 per hour
|
|
VOLUME
as of 2024
|
82,980
|
4,620
|
25,530
|
10,000
|
| SNOWFLAKE |
|
|
|
|
| DESCRIPTION | Operate table games. Stand or sit behind table and operate games of chance by dispensing the appropriate number of cards or blocks to players, or operating other gambling equipment. Distribute winnings or collect players' money or chips. May compare the house's hand against players' hands. | Plan, direct, or coordinate gambling operations in a casino. May formulate house rules. | Directly supervise and coordinate activities of workers in assigned gambling areas. May circulate among tables, observe operations, and ensure that stations and games are covered for each shift. May verify and pay off jackpots. May reset slot machines after payoffs and make repairs or adjustments to slot machines or recommend removal of slot machines for repair. May plan and organize activities and services for guests in hotels/casinos. | Observe gambling operation for irregular activities such as cheating or theft by either employees or patrons. Investigate potential threats to gambling assets such as money, chips, and gambling equipment. Act as oversight and security agent for management and customers. |
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.