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 |
80%
Imminent Risk
|
38%
Low Risk
|
18%
Minimal Risk
|
48%
Moderate Risk
|
20%
Low Risk
|
40%
Moderate Risk
|
| JOB SCORE | 1.8/10 | 4.6/10 | 5.3/10 | 3.8/10 | 7.4/10 | 4.7/10 |
| POLLING |
71%
(High Risk,
Based on 106 votes)
|
49%
(Moderate Risk,
Based on 269 votes)
|
83%
(Imminent Risk,
Based on 25 votes)
|
57%
(Moderate Risk,
Based on 367 votes)
|
26%
(Low Risk,
Based on 210 votes)
|
54%
(Moderate Risk,
Based on 1,461 votes)
|
|
GROWTH
by year 2034
|
-0.6%
|
0.6%
|
8.2%
|
0.9%
|
4.8%
|
3.6%
|
| WAGES |
$49,210
or $23.66 per hour
|
$75,260
or $36.18 per hour
|
$108,970
or $52.39 per hour
|
$91,670
or $44.07 per hour
|
$69,780
or $33.55 per hour
|
$72,270
or $34.74 per hour
|
|
VOLUME
as of 2024
|
5,160
|
95,480
|
439,380
|
55,530
|
280,590
|
47,800
|
| SNOWFLAKE |
|
|
|
|
|
|
| DESCRIPTION | Read transcript or proof type setup to detect and mark for correction any grammatical, typographical, or compositional errors. Excludes workers whose primary duty is editing copy. Includes proofreaders of braille. | Plan, coordinate, revise, or edit written material. May review proposals and drafts for possible publication. | Implement and administer enterprise-wide document management systems and related procedures that allow organizations to capture, store, retrieve, share, and destroy electronic records and documents. | Write technical materials, such as equipment manuals, appendices, or operating and maintenance instructions. May assist in layout work. | 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. | Originate and prepare written material, such as scripts, stories, advertisements, and other material. |
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.