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 |
23%
Low Risk
|
15%
Minimal Risk
|
10%
Minimal Risk
|
19%
Minimal Risk
|
20%
Low Risk
|
| JOB SCORE | 5.6/10 | 7.3/10 | 5.7/10 | 7.3/10 | 7.4/10 |
| POLLING |
34%
(Low Risk,
Based on 158 votes)
|
25%
(Low Risk,
Based on 497 votes)
|
There hasn't been enough votes on this occupation yet
|
38%
(Low Risk,
Based on 146 votes)
|
26%
(Low Risk,
Based on 210 votes)
|
|
GROWTH
by year 2034
|
3.6%
|
4.9%
|
2.1%
|
10.8%
|
4.8%
|
| WAGES |
$72,270
or $34.74 per hour
|
$83,480
or $40.13 per hour
|
$77,800
or $37.40 per hour
|
$65,850
or $31.66 per hour
|
$69,780
or $33.55 per hour
|
|
VOLUME
as of 2024
|
47,800
|
145,270
|
29,260
|
436,610
|
280,590
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Create original written works, such as scripts, essays, prose, poetry or song lyrics, for publication or performance. | Produce or direct stage, television, radio, video, or film productions for entertainment, information, or instruction. Responsible for creative decisions, such as interpretation of script, choice of actors or guests, set design, sound, special effects, and choreography. | Teach courses in communications, such as organizational communications, public relations, radio/television broadcasting, and journalism. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research. | Design or conduct work-related training and development programs to improve individual skills or organizational performance. May analyze organizational training needs or evaluate training effectiveness. | Promote or create an intended public image for individuals, groups, or organizations. May write or select material for release to various communications media. May specialize in using social media. |
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.